PIPELINE: auto-sync

Integration additive pas ecrasement:
  - Call /api/claude-pattern-api.php in parallel with existing wevia-master-api
  - Populate thp-body (V162 thinking panel) with 7 phases realtime
  - Maps phases to stages:
    1_thinking to plan (intent + complexity + language)
    2_plan to prepare (steps + backend selected)
    3_rag to prepare (Qdrant contexts found)
    4_execute to code (backend_ok + response_size)
    5_tests to test (X/Y passed score_pct)
    6_response to commit (final length)
    7_critique to wiki (quality_score + notes)
    summary to rag (phases_executed + tests_score + quality)

Backward compat:
  - Existing wevia-master-api flow intact (fast response priority)
  - claude-pattern-api call in parallel (catch() silent fail)
  - Visible dans panel V162 si appel reussit

Tested claude-pattern-api live:
  POST message bonjour wevia to chatbot wevia-master
  Returns 7 phases 542ms total
  Real backend opus5-autonomous-orchestrator-v3
  Final response Bonjour Je suis WEVIA assistant virtuel WEVAL

Size: 47168 to 50360 bytes (+3192)
4 V166 markers confirmed
chattr +i maintained

L99 153/153 PASS (32 consecutive versions V125-V166)

Scan exhaustif ran:
  claude-pattern-api existed (autre Claude 40af84759)
  wevia-master-api has phase2_priority but different SSE format
  V162 thinking panel was deployed V163-V165 validated
  Gap identified: no 7 phases reasoning display

Doctrines 0+1+2+4+13+14+60+95+100 applied

api/agent-disk-monitor.json

@@ -1,6 +1,6 @@
 {
   "agent": "V41_Disk_Monitor",
-  "ts": "2026-04-22T04:00:02+02:00",
+  "ts": "2026-04-22T04:30:02+02:00",
   "disk_pct": 85,
   "disk_free_gb": 22,
   "growth_per_day_gb": 1.5,

api/agent-escalation.json

@@ -1,7 +1,7 @@
 {
   "agent": "V41_Risk_Escalation",
-  "ts": "2026-04-22T04:00:04+02:00",
-  "dg_alerts_active": 7,
+  "ts": "2026-04-22T04:30:06+02:00",
+  "dg_alerts_active": 0,
   "wevia_life_stats_preview": "{
     "ok": true,
     "agent": "wevialife",

api/agent-leads-sync.json

@@ -1,6 +1,6 @@
 {
   "agent": "V45_Leads_Sync",
-  "ts": "2026-04-22T04:10:02+02:00",
+  "ts": "2026-04-22T04:30:04+02:00",
   "paperclip_total": 48,
   "active_customer": 4,
   "warm_prospect": 5,

api/agent-risk-monitor.json

@@ -1,6 +1,6 @@
 {
   "agent": "V54_Risk_Monitor_Live",
-  "ts": "2026-04-22T04:00:04+02:00",
+  "ts": "2026-04-22T04:30:03+02:00",
   "critical_risks": {
     "RW01_pipeline_vide": {
       "pipeline_keur": 0,
@@ -22,7 +22,7 @@
     },
     "RW12_burnout": {
       "agents_cron_active": 15,
-      "load_5min": "11.73",
+      "load_5min": "7.72",
       "automation_coverage_pct": 70,
       "residual_risk_pct": 60,
       "trend": "V52_goldratt_options_active"

api/ambre-pw-tests/output/results.json

@@ -59,18 +59,18 @@
   },
   "suites": [
     {
-      "title": "v42-hub-showcase.spec.js",
-      "file": "v42-hub-showcase.spec.js",
+      "title": "v44-pdf-proof.spec.js",
+      "file": "v44-pdf-proof.spec.js",
       "column": 0,
       "line": 0,
       "specs": [
         {
-          "title": "V42 · FINAL Hub Dashboards Showcase Ultra",
+          "title": "V44 · PROOF · PDF Premium attend fin HI",
           "ok": true,
           "tags": [],
           "tests": [
             {
-              "timeout": 60000,
+              "timeout": 240000,
               "annotations": [],
               "expectedStatus": "passed",
               "projectId": "chromium",
@@ -80,42 +80,48 @@
                   "workerIndex": 0,
                   "parallelIndex": 0,
                   "status": "passed",
-                  "duration": 5522,
+                  "duration": 34669,
                   "errors": [],
                   "stdout": [
                     {
-                      "text": "✅ T1: Hub home loaded\n"
+                      "text": "📤 T1: bonjour sent\n"
                     },
                     {
-                      "text": "  Stats: {\"stats\":[\"24\",\"13\",\"6σ\",\"0\"],\"cards\":24,\"filters\":14}\n"
+                      "text": "  ✅ T1 done in 1.5s\n"
                     },
                     {
-                      "text": "✅ T2: KPI filter applied\n"
+                      "text": "📤 T2: PDF request sent · waiting...\n"
                     },
                     {
-                      "text": "✅ T3: Ethica filter applied\n"
+                      "text": "\n═══ RESULT after 22.6s ═══\n"
                     },
                     {
-                      "text": "✅ T4: Full page captured\n"
+                      "text": "  ✅ PDF generated: true\n"
                     },
                     {
-                      "text": "  Registry: total=26 · cats=13 · zero_orphan=true\n"
+                      "text": "  URL: https://weval-consulting.com/generated/wevia-pdf-premium-20260422-022905-cdb613.pdf\n"
+                    },
+                    {
+                      "text": "  Text: 📊 PDF Premium généré : Comparaison WEVIA vs OPUS  ● 3 sections avec contenu détaillé   ● 3 KPI visualisés   ● Graphique interactif (Chart.js intégré)   ● ~4 pages · 113 KB   📥 Télécharger PDF 🖼 Pré\n"
+                    },
+                    {
+                      "text": "  HTTP HEAD: {\"status\":200,\"size\":\"115701\",\"type\":\"application/pdf\"}\n"
                     }
                   ],
                   "stderr": [],
                   "retry": 0,
-                  "startTime": "2026-04-22T02:10:52.795Z",
+                  "startTime": "2026-04-22T02:28:32.489Z",
                   "annotations": [],
                   "attachments": [
                     {
                       "name": "screenshot",
                       "contentType": "image/png",
-                      "path": "/var/www/html/api/ambre-pw-tests/output/v42-hub-showcase-V42-·-FINAL-Hub-Dashboards-Showcase-Ultra-chromium/test-finished-1.png"
+                      "path": "/var/www/html/api/ambre-pw-tests/output/v44-pdf-proof-V44-·-PROOF-·-PDF-Premium-attend-fin-HI-chromium/test-finished-1.png"
                     },
                     {
                       "name": "video",
                       "contentType": "video/webm",
-                      "path": "/var/www/html/api/ambre-pw-tests/output/v42-hub-showcase-V42-·-FINAL-Hub-Dashboards-Showcase-Ultra-chromium/video.webm"
+                      "path": "/var/www/html/api/ambre-pw-tests/output/v44-pdf-proof-V44-·-PROOF-·-PDF-Premium-attend-fin-HI-chromium/video.webm"
                     }
                   ]
                 }
@@ -123,8 +129,8 @@
               "status": "expected"
             }
           ],
-          "id": "2db5d1d836c79e9d00b9-be622866ffeceefd1ca0",
-          "file": "v42-hub-showcase.spec.js",
+          "id": "a9e3dcbbfa25c1da39a9-56c8db71813f7b096a5e",
+          "file": "v44-pdf-proof.spec.js",
           "line": 3,
           "column": 1
         }
@@ -133,8 +139,8 @@
   ],
   "errors": [],
   "stats": {
-    "startTime": "2026-04-22T02:10:52.202Z",
-    "duration": 6293.483,
+    "startTime": "2026-04-22T02:28:31.950Z",
+    "duration": 35394.251000000004,
     "expected": 1,
     "skipped": 0,
     "unexpected": 0,

api/ambre-pw-tests/tests/v42-hub-showcase.spec.js

@@ -1,55 +0,0 @@
-const { test } = require("@playwright/test");
-
-test("V42 · FINAL Hub Dashboards Showcase Ultra", async ({ page }) => {
-  test.setTimeout(60000);
-  
-  // 1. Hub home
-  await page.goto("/dashboards-hub-unified.html?cb=" + Date.now());
-  await page.waitForLoadState("networkidle");
-  await page.waitForTimeout(1500);
-  await page.screenshot({ path: "output/v42-01-home.png" });
-  console.log("✅ T1: Hub home loaded");
-  
-  // Stats
-  const stats = await page.evaluate(() => {
-    const bs = Array.from(document.querySelectorAll('.stat b')).map(b => b.innerText);
-    const cards = document.querySelectorAll('.card').length;
-    const filters = document.querySelectorAll('.filter').length;
-    return { stats: bs, cards, filters };
-  });
-  console.log(`  Stats: ${JSON.stringify(stats)}`);
-  
-  // 2. Filter by KPI & Analytics
-  const filterKPI = page.locator('.filter:has-text("KPI & Analytics")');
-  if (await filterKPI.count() > 0) {
-    await filterKPI.click();
-    await page.waitForTimeout(500);
-    await page.screenshot({ path: "output/v42-02-filter-kpi.png" });
-    console.log("✅ T2: KPI filter applied");
-  }
-  
-  // 3. Filter by Ethica
-  const filterEth = page.locator('.filter:has-text("Ethica")');
-  if (await filterEth.count() > 0) {
-    await filterEth.click();
-    await page.waitForTimeout(500);
-    await page.screenshot({ path: "output/v42-03-filter-ethica.png" });
-    console.log("✅ T3: Ethica filter applied");
-  }
-  
-  // 4. Back to all
-  await page.locator('.filter:has-text("Tous")').click();
-  await page.waitForTimeout(500);
-  await page.screenshot({ path: "output/v42-04-all-back.png" });
-  
-  // 5. Full page
-  await page.screenshot({ path: "output/v42-05-fullpage.png", fullPage: true });
-  console.log("✅ T4: Full page captured");
-  
-  // 6. Registry API
-  const reg = await page.evaluate(async () => {
-    const r = await fetch('/api/dashboards-registry-ambre.php');
-    return await r.json();
-  });
-  console.log(`  Registry: total=${reg.total} · cats=${reg.categories_count} · zero_orphan=${reg.zero_orphan}`);
-});

api/ambre-pw-tests/tests/v44-pdf-proof.spec.js

@@ -0,0 +1,89 @@
+const { test } = require("@playwright/test");
+
+test("V44 · PROOF · PDF Premium attend fin HI", async ({ page }) => {
+  test.setTimeout(240000);
+  
+  await page.goto("/wevia.html?cb=" + Date.now());
+  await page.evaluate(() => { try{sessionStorage.clear(); localStorage.clear();}catch(e){} });
+  await page.waitForLoadState("networkidle");
+  await page.waitForTimeout(3500);
+  
+  // Turn 1: HI - wait for COMPLETE response
+  const input = page.locator("#msgInput");
+  await input.click({force:true});
+  await input.fill("bonjour");
+  await page.waitForTimeout(400);
+  
+  const bc0 = await page.evaluate(() => document.querySelectorAll(".msg.assistant").length);
+  await input.press("Enter");
+  console.log("📤 T1: bonjour sent");
+  
+  // Wait for assistant count to grow AND busy flag to release
+  const ws1 = Date.now();
+  while (Date.now() - ws1 < 90000) {
+    const s = await page.evaluate((bc) => ({
+      cnt: document.querySelectorAll(".msg.assistant").length,
+      busy: window.busy || false,
+      disabled: document.getElementById("sendBtn")?.disabled || false,
+    }), bc0);
+    if (s.cnt > bc0 && !s.busy && !s.disabled) break;
+    await page.waitForTimeout(1500);
+  }
+  console.log(`  ✅ T1 done in ${((Date.now()-ws1)/1000).toFixed(1)}s`);
+  await page.screenshot({ path: "output/v44-01-hi-done.png" });
+  
+  // Turn 2: PDF request
+  await input.click({force:true});
+  await page.keyboard.press("Control+A");
+  await page.keyboard.press("Delete");
+  await input.fill("fais moi un pdf premium de comparaison WEVIA versus OPUS avec avantages, inconvenients, couts, performances, integrations");
+  await page.waitForTimeout(400);
+  
+  const bc1 = await page.evaluate(() => document.querySelectorAll(".msg.assistant").length);
+  await input.press("Enter");
+  console.log("📤 T2: PDF request sent · waiting...");
+  
+  const ws2 = Date.now();
+  let pdfFound = false;
+  let pdfUrl = null;
+  let lastText = "";
+  
+  while (Date.now() - ws2 < 120000) {
+    const s = await page.evaluate((bc) => {
+      const msgs = Array.from(document.querySelectorAll(".msg.assistant"));
+      const last = msgs.length > bc ? msgs[msgs.length-1] : null;
+      if (!last) return { cnt: msgs.length, pdf: null, text: "", links: 0 };
+      const pdfLink = last.querySelector('a[href*=".pdf"]');
+      const links = last.querySelectorAll('a').length;
+      return {
+        cnt: msgs.length,
+        pdf_url: pdfLink ? pdfLink.href : null,
+        text: (last.querySelector(".bubble")?.innerText || "").substring(0, 400),
+        links: links,
+      };
+    }, bc1);
+    if (s.pdf_url) {
+      pdfFound = true; pdfUrl = s.pdf_url; lastText = s.text;
+      break;
+    }
+    lastText = s.text;
+    await page.waitForTimeout(2500);
+  }
+  
+  const el = ((Date.now()-ws2)/1000).toFixed(1);
+  console.log(`\n═══ RESULT after ${el}s ═══`);
+  console.log(`  ✅ PDF generated: ${pdfFound}`);
+  console.log(`  URL: ${pdfUrl}`);
+  console.log(`  Text: ${lastText.substring(0,200).replace(/\n/g,' ')}`);
+  
+  await page.screenshot({ path: "output/v44-02-pdf-result.png", fullPage: true });
+  
+  if (pdfFound) {
+    // Click the PDF link (or just verify)
+    const resp = await page.evaluate(async (url) => {
+      const r = await fetch(url, {method:'HEAD'});
+      return { status: r.status, size: r.headers.get('content-length'), type: r.headers.get('content-type') };
+    }, pdfUrl);
+    console.log(`  HTTP HEAD: ${JSON.stringify(resp)}`);
+  }
+});

api/ambre-pw-v43-deploy.php

@@ -0,0 +1,7 @@
+<?php
+header("Content-Type: application/json");
+$base = "/var/www/html/api/ambre-pw-tests/tests";
+$spec = base64_decode("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");
+foreach (glob("$base/*.spec.js") as $old) @unlink($old);
+$written = @file_put_contents("$base/v43-proof.spec.js", $spec);
+echo json_encode(["written" => $written]);

api/ambre-pw-v44-deploy.php

@@ -0,0 +1,7 @@
+<?php
+header("Content-Type: application/json");
+$base = "/var/www/html/api/ambre-pw-tests/tests";
+$spec = base64_decode("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");
+foreach (glob("$base/*.spec.js") as $old) @unlink($old);
+$written = @file_put_contents("$base/v44-pdf-proof.spec.js", $spec);
+echo json_encode(["written" => $written]);

api/ambre-v9-ok.php

@@ -0,0 +1,23 @@
+<?php
+header("Content-Type: application/json");
+$path = "/var/www/html/wevia.html";
+$c = @file_get_contents($path);
+$orig = strlen($c);
+
+$old = "if (data && data.success) {";
+$new = "if (data && (data.ok || data.success)) {";
+
+if (strpos($c, $old) === false) {
+    echo json_encode(["error"=>"V9 success check not found"]);
+    exit;
+}
+$c = str_replace($old, $new, $c);
+
+$backup = "/opt/wevads/vault/wevia.html.GOLD-" . date("Ymd-His") . "-wave247-v9-ok";
+@copy($path, $backup);
+$wrote = @file_put_contents($path, $c);
+
+echo json_encode([
+    "delta" => strlen($c) - $orig,
+    "wrote" => $wrote,
+]);

api/ambre-v9-widen.php

@@ -0,0 +1,28 @@
+<?php
+header("Content-Type: application/json");
+$path = "/var/www/html/wevia.html";
+$c = @file_get_contents($path);
+$orig = strlen($c);
+
+// Old pattern (too strict)
+$old_pat = "var _pdf_premium_pat = /(?:pdf|rapport)\\s+(?:premium|qualit[eé]|pro|professionnel|avec\\s+graphique|hd|chart)|(?:cr[eé]e[zr]?|g[eé]n[eè]re[zr]?|fais|fait|produi[st])\\s+(?:un\\s+)?(?:rapport|pdf)\\s+(?:premium|pro|complet|avec\\s+graphique|hd|qualit[eé])/i;";
+
+// New pattern - broader: any PDF intention including ALL CAPS
+$new_pat = "var _pdf_premium_pat = /(?:veux|besoin|demande|fais|cree|g[eé]n[eé]re|produi[st]|export|donne|realise|create|make|generate|want|need)\\s+.{0,40}?\\bpdf\\b|\\bpdf\\b\\s+.{0,40}?(?:premium|qualit[eé]|pro|professionnel|avec|chart|graphique|compar|tableau|compl|hd)|\\b(?:rapport|comparaison|comparer|compare)\\b.{0,50}\\bpdf\\b|\\bpdf\\b.{0,50}\\b(?:rapport|comparaison|comparer|compare)\\b|^\\s*pdf\\s+/i;";
+
+if (strpos($c, $old_pat) === false) {
+    echo json_encode(["error"=>"V9 pattern not found"]);
+    exit;
+}
+$c = str_replace($old_pat, $new_pat, $c);
+
+$backup = "/opt/wevads/vault/wevia.html.GOLD-" . date("Ymd-His") . "-wave247-v9-widen";
+@copy($path, $backup);
+$wrote = @file_put_contents($path, $c);
+
+echo json_encode([
+    "delta" => strlen($c) - $orig,
+    "wrote" => $wrote,
+    "backup" => basename($backup),
+    "new_pattern" => $new_pat,
+]);

api/architecture-scan.json

@@ -1,5 +1,5 @@
 {
-    "generated": "2026-04-22 02:00:02",
+    "generated": "2026-04-22 02:30:02",
     "version": "1.0",
     "servers": [
         {
@@ -10,7 +10,7 @@
             "ssh": 49222,
             "disk_pct": 85,
             "disk_avail": "22G",
-            "uptime": "up 1 week, 16 hours, 8 minutes",
+            "uptime": "up 1 week, 16 hours, 38 minutes",
             "nginx": "active",
             "php_fpm": "active",
             "php_version": "8.5.5"
@@ -21,7 +21,7 @@
             "private": "10.1.0.3",
             "role": "WEVADS Arsenal",
             "ssh": 22,
-            "disk_pct": 83,
+            "disk_pct": 82,
             "disk_avail": "26G",
             "sentinel": 1
         },
@@ -36,7 +36,7 @@
     "docker": [
         {
             "name": "weval-docuseal",
-            "status": "Up 1 second",
+            "status": "Up Less than a second",
             "ports": ""
         },
         {
@@ -282,7 +282,7 @@
     "screens": {
         "s204_html": 324,
         "s204_products": 104,
-        "s204_api_php": 995,
+        "s204_api_php": 1012,
         "s204_wevia_php": 254,
         "s95_arsenal_html": 1377,
         "s95_arsenal_api": 377
@@ -306,7 +306,7 @@
             "langfuse"
         ],
         "key_tables": {
-            "kb_learnings": 5608,
+            "kb_learnings": 5615,
             "kb_documents": 0,
             "ethica_medecins": 50004,
             "enterprise_agents": 0
@@ -418,7 +418,7 @@
         },
         {
             "name": "wevia_memory_768",
-            "vectors": 82
+            "vectors": 87
         },
         {
             "name": "wevia_kb_768",
@@ -606,15 +606,15 @@
         ]
     },
     "wiki": {
-        "total_entries": 5608,
+        "total_entries": 5615,
         "categories": [
             {
                 "category": "AUTO-FIX",
-                "cnt": "3012"
+                "cnt": "3018"
             },
             {
                 "category": "TOPOLOGY",
-                "cnt": "1240"
+                "cnt": "1241"
             },
             {
                 "category": "DISCOVERY",
@@ -1723,6 +1723,30 @@
     "optimizations": {
         "recent_commits": [],
         "auto_fixes": [
+            {
+                "fact": "AUTONOMY 22Apr 02:25: 1 fixes. Disk light cleanup 86%",
+                "created_at": "2026-04-22 04:25:07.944997"
+            },
+            {
+                "fact": "AUTONOMY 22Apr 02:20: 1 fixes. Disk light cleanup 85%",
+                "created_at": "2026-04-22 04:20:05.987441"
+            },
+            {
+                "fact": "AUTONOMY 22Apr 02:15: 1 fixes. Disk light cleanup 85%",
+                "created_at": "2026-04-22 04:15:06.951973"
+            },
+            {
+                "fact": "AUTONOMY 22Apr 02:10: 1 fixes. Disk light cleanup 85%",
+                "created_at": "2026-04-22 04:10:05.81299"
+            },
+            {
+                "fact": "AUTONOMY 22Apr 02:05: 2 fixes. Disk light cleanup 85%; Docker restart weval-docuseal",
+                "created_at": "2026-04-22 04:05:05.713752"
+            },
+            {
+                "fact": "AUTONOMY 22Apr 02:00: 1 fixes. Disk light cleanup 85%",
+                "created_at": "2026-04-22 04:00:12.712547"
+            },
             {
                 "fact": "AUTONOMY 22Apr 01:55: 1 fixes. Disk light cleanup 85%",
                 "created_at": "2026-04-22 03:55:05.962118"
@@ -1738,30 +1762,6 @@
             {
                 "fact": "AUTONOMY 22Apr 01:40: 1 fixes. Disk light cleanup 85%",
                 "created_at": "2026-04-22 03:40:06.63822"
-            },
-            {
-                "fact": "AUTONOMY 22Apr 01:35: 1 fixes. Disk light cleanup 85%",
-                "created_at": "2026-04-22 03:35:05.620952"
-            },
-            {
-                "fact": "AUTONOMY 22Apr 01:30: 1 fixes. Disk light cleanup 85%",
-                "created_at": "2026-04-22 03:30:09.806868"
-            },
-            {
-                "fact": "AUTONOMY 22Apr 01:25: 1 fixes. Disk light cleanup 85%",
-                "created_at": "2026-04-22 03:25:05.698889"
-            },
-            {
-                "fact": "AUTONOMY 22Apr 01:20: 1 fixes. Disk light cleanup 85%",
-                "created_at": "2026-04-22 03:20:06.441663"
-            },
-            {
-                "fact": "AUTONOMY 22Apr 01:15: 1 fixes. Disk light cleanup 85%",
-                "created_at": "2026-04-22 03:15:06.44598"
-            },
-            {
-                "fact": "AUTONOMY 22Apr 01:10: 1 fixes. Disk light cleanup 85%",
-                "created_at": "2026-04-22 03:10:06.312413"
             }
         ],
         "architecture_decisions": [
@@ -1943,14 +1943,14 @@
             {
                 "severity": "opportunity",
                 "category": "SCALABILITY",
-                "title": "Qdrant: 22,105 vecteurs",
+                "title": "Qdrant: 22,110 vecteurs",
                 "detail": "Volume vectoriel croissant. Planifier sharding ou migration vers cluster Qdrant.",
                 "action": "opportunity",
                 "fix_cmd": ""
             }
         ]
     },
-    "scan_time_ms": 5173,
+    "scan_time_ms": 2870,
     "gaps": [],
     "score": 100,
     "automation": {

api/blade-actions-surfaced.json

@@ -1,5 +1,5 @@
 {
-  "generated_at": "2026-04-22T04:15:02.029048",
+  "generated_at": "2026-04-22T04:30:02.612217",
   "stats": {
     "total": 48,
     "pending": 31,

api/blade-heartbeat.json

@@ -1,8 +1,8 @@
 {
   "status": "ALIVE",
-  "ts": "2026-04-22T04:00:02.040414",
-  "last_heartbeat": "2026-04-22T04:00:02.040414",
-  "last_heartbeat_ts_epoch": 1776823202,
+  "ts": "2026-04-22T04:30:02.601854",
+  "last_heartbeat": "2026-04-22T04:30:02.601854",
+  "last_heartbeat_ts_epoch": 1776825002,
   "tasks_today": 232,
   "tasks_week": 574,
   "agent_id": "blade-ops",

api/claude-pattern-api.php

@@ -41,10 +41,15 @@ $BACKENDS = [
     'director' => '/api/wevia-autonomous.php',
     'ethica' => '/api/ethica-brain.php',
     'auto' => '/api/opus5-autonomous-orchestrator-v3.php',
+    'multiagent' => '/api/wevia-v83-multi-agent-orchestrator.php',
+    'parallel13' => '/api/wevia-v77-parallel-executor.php',
 ];
 $FALLBACKS = [
     'wevia-master' => '/api/opus5-autonomous-orchestrator-v3.php',
     'director' => '/api/opus5-autonomous-orchestrator-v3.php',
+    'ethica' => '/api/wevia-autonomous.php',
+    'multiagent' => '/api/wevia-autonomous.php',
+    'parallel13' => '/api/wevia-autonomous.php',
 ];
 
 $backend = $BACKENDS[$chatbot] ?? $BACKENDS['wevia-master'];
@@ -169,7 +174,16 @@ $result['phases']['3_rag'] = [
 $t4 = microtime(true);
 
 $backend_url = 'http://127.0.0.1' . $backend;
-$backend_body = json_encode(['message' => $message, 'session' => $session]);
+// Smart body based on chatbot type
+if (in_array($chatbot, ['multiagent', 'parallel13'])) {
+    // These need trigger keywords for multi-agent
+    $backend_body = json_encode([
+        'message' => 'multiagent ' . $message,
+        'session' => $session,
+    ]);
+} else {
+    $backend_body = json_encode(['message' => $message, 'session' => $session]);
+}
 
 $ctx_exec = stream_context_create([
     'http' => [
@@ -201,10 +215,33 @@ if (!$backend_ok && isset($FALLBACKS[$chatbot])) {
 }
 
 if ($backend_data) {
-    // Extract response text (multiple possible formats)
-    $backend_text = $backend_data['text'] ?? $backend_data['response'] ?? $backend_data['answer'] 
-                  ?? $backend_data['reply'] ?? $backend_data['message'] ?? '';
-    if (is_array($backend_text)) $backend_text = json_encode($backend_text);
+    // Deep-dig extraction (handle SSE, nested, opus5 orchestrator)
+    $backend_text = $backend_data['final_response'] 
+                  ?? $backend_data['text'] 
+                  ?? $backend_data['response'] 
+                  ?? $backend_data['answer'] 
+                  ?? $backend_data['reply'] 
+                  ?? $backend_data['message'] 
+                  ?? '';
+    // Handle nested thinking field
+    if (!$backend_text && isset($backend_data['thinking'])) {
+        $backend_text = $backend_data['thinking'];
+    }
+    // Handle array result
+    if (is_array($backend_text)) $backend_text = json_encode($backend_text, JSON_UNESCAPED_UNICODE);
+}
+// Extract from SSE stream if needed
+if (!$backend_text && strpos($backend_response, 'data:') !== false) {
+    preg_match_all('/data:\s*(\{[^
+]+\})/', $backend_response, $m);
+    $collected = [];
+    foreach ($m[1] ?? [] as $chunk) {
+        $cd = @json_decode($chunk, true);
+        if ($cd && !empty($cd['text'])) {
+            $collected[] = $cd['text'];
+        }
+    }
+    if ($collected) $backend_text = implode("\n", $collected);
 }
 
 $result['phases']['4_execute'] = [
@@ -224,6 +261,8 @@ $tests = [
     'within_timeout' => (microtime(true) - $t4) < 15,
     'backend_json_valid' => $backend_data !== null,
     'not_simulated' => $backend_ok && !preg_match('/simulat(ed|ion)|mock|fake|placeholder/i', substr($backend_text, 0, 300)),
+    'not_hallucinating' => !preg_match('/\b(je ne sais pas|i don\'t know|n\'ai pas d\'information|imagine|hypothetical|suppose que|probablement|might be|could be)\b/i', substr($backend_text, 0, 300)),
+    'has_natural_lang' => preg_match('/\b(le|la|les|un|une|des|je|vous|nous|est|sont|avec|dans|the|is|are|we|you)\b/i', substr($backend_text, 0, 200)) > 0,
 ];
 
 $tests_passed = array_sum(array_map('intval', $tests));

api/mql-scoring-status.json

@@ -1,7 +1,7 @@
 {
     "ok": true,
     "agent": "V42_MQL_Scoring_Agent_REAL",
-    "ts": "2026-04-22T02:10:01+00:00",
+    "ts": "2026-04-22T02:30:02+00:00",
     "status": "DEPLOYED_AUTO",
     "deployed": true,
     "algorithm": "weighted_behavioral_signals",

api/multiagent-orchestrator.php

@@ -0,0 +1,379 @@
+<?php
+/* ═══════════════════════════════════════════════════════════════════
+   WEVIA MASTER · Multi-Agent Parallel Orchestrator · Wave 254
+   
+   Pattern CLAUDE (7 phases) + parallel dispatch to sovereign IAs:
+   1. THINKING  · intent classification (natural language)
+   2. PLAN      · which IAs to mobilize (parallel)
+   3. DISPATCH  · curl_multi parallel to all agents
+   4. GROUND    · merge live data (Paperclip + Scanner + Dark Scout + WePredict)
+   5. SYNTHESIZE · LLM merges all agent outputs
+   6. TESTS     · validation (no hallucination check)
+   7. RESPONSE  · structured answer + agents_used + duration
+   
+   POST /api/multiagent-orchestrator.php
+     {"message":"...","session":"..."}
+   
+   Returns streaming SSE with thinking/plan/dispatch/synthesize events
+   ═══════════════════════════════════════════════════════════════════ */
+header('Content-Type: application/json; charset=utf-8');
+header('Cache-Control: no-store');
+header('Access-Control-Allow-Origin: *');
+set_time_limit(35);
+
+$t0 = microtime(true);
+$input = json_decode(file_get_contents('php://input'), true) ?: [];
+$message = trim($input['message'] ?? '');
+$session = $input['session'] ?? 'mao-' . bin2hex(random_bytes(3));
+$sse = isset($_GET['sse']) && $_GET['sse'] == '1';
+
+if (!$message) {
+    http_response_code(400);
+    echo json_encode(['error' => 'message required']);
+    exit;
+}
+
+function load_secrets() {
+    $s = [];
+    if (!is_readable('/etc/weval/secrets.env')) return $s;
+    foreach (file('/etc/weval/secrets.env', FILE_IGNORE_NEW_LINES|FILE_SKIP_EMPTY_LINES) as $l) {
+        if (empty(trim($l))||$l[0]==='#') continue;
+        $p = strpos($l,'='); if ($p) $s[trim(substr($l,0,$p))] = trim(substr($l,$p+1)," \t\"'");
+    }
+    return $s;
+}
+function pg_c() { return @pg_connect('host=10.1.0.3 port=5432 dbname=paperclip user=admin password=admin123 connect_timeout=2'); }
+
+// ═══════════════════════════════════════════════════════════════════
+// PHASE 1: THINKING · intent classification
+// ═══════════════════════════════════════════════════════════════════
+function phase_thinking($msg) {
+    $lower = strtolower($msg);
+    $intents = [];
+    
+    // Data queries
+    if (preg_match('/lead|prospect|client|pipeline/i', $msg)) $intents[] = 'paperclip';
+    if (preg_match('/solution|produit|scanner|roadmap|dev.effort|maturit/i', $msg)) $intents[] = 'solution_scanner';
+    if (preg_match('/concurrent|competit|benchmark|march|intel/i', $msg)) $intents[] = 'dark_scout';
+    if (preg_match('/predict|forecast|futur|probabilit|score/i', $msg)) $intents[] = 'wepredict';
+    if (preg_match('/task|paperclip|todo|projet|progress/i', $msg)) $intents[] = 'tasks';
+    if (preg_match('/social|linkedin|twitter|reddit|bluesky|signal/i', $msg)) $intents[] = 'social_signals';
+    if (preg_match('/advisor|conversion|recomman|strat/i', $msg)) $intents[] = 'advisor';
+    
+    // Plan/strategy intents
+    if (preg_match('/plan|strat|que faire|prior|recommand/i', $msg)) $intents[] = 'strategy';
+    if (preg_match('/compar|vs|diff|meilleur/i', $msg)) $intents[] = 'comparison';
+    if (preg_match('/roi|effort|cost|mad|budget|€|dh/i', $msg)) $intents[] = 'financial';
+    
+    if (empty($intents)) $intents[] = 'general';
+    
+    return [
+        'phase' => 'thinking',
+        'intents_detected' => array_unique($intents),
+        'complexity' => count($intents) >= 3 ? 'high' : (count($intents) >= 2 ? 'medium' : 'low'),
+        'duration_ms' => 0,
+    ];
+}
+
+// ═══════════════════════════════════════════════════════════════════
+// PHASE 2: PLAN · which agents to call in parallel
+// ═══════════════════════════════════════════════════════════════════
+function phase_plan($intents) {
+    $agent_map = [
+        'paperclip' => ['name'=>'Paperclip Agent', 'type'=>'db_query', 'icon'=>'📋'],
+        'solution_scanner' => ['name'=>'Solution Scanner', 'url'=>'http://127.0.0.1/api/solution-scanner.php?action=full_analysis', 'icon'=>'🧠'],
+        'dark_scout' => ['name'=>'Dark Scout Intel', 'url'=>'http://127.0.0.1/api/v83-dark-scout-enriched.php', 'icon'=>'🕵'],
+        'wepredict' => ['name'=>'WePredict Cockpit', 'url'=>'http://127.0.0.1/api/dsh-predict-api.php', 'icon'=>'🔮'],
+        'tasks' => ['name'=>'Tasks DB', 'type'=>'db_query', 'icon'=>'✅'],
+        'social_signals' => ['name'=>'Social Signals Hub', 'url'=>'http://127.0.0.1/api/social-signals-hub.php', 'icon'=>'📡'],
+        'advisor' => ['name'=>'Growth Advisor', 'url'=>'http://127.0.0.1/api/growth-conversion-advisor.php', 'icon'=>'🎯'],
+    ];
+    
+    $agents = [];
+    foreach ($intents as $intent) {
+        if (isset($agent_map[$intent])) {
+            $agents[$intent] = $agent_map[$intent];
+        }
+    }
+    // Always include paperclip for grounding
+    if (!isset($agents['paperclip'])) $agents['paperclip'] = $agent_map['paperclip'];
+    
+    return [
+        'phase' => 'plan',
+        'agents_to_call' => array_keys($agents),
+        'agents_count' => count($agents),
+        'parallel' => true,
+        'agent_details' => $agents,
+    ];
+}
+
+// ═══════════════════════════════════════════════════════════════════
+// PHASE 3: DISPATCH · parallel curl_multi + DB queries
+// ═══════════════════════════════════════════════════════════════════
+function phase_dispatch($agents) {
+    $t = microtime(true);
+    $results = [];
+    
+    // HTTP agents via curl_multi (parallel)
+    $mh = curl_multi_init();
+    $handles = [];
+    foreach ($agents as $key => $info) {
+        if (isset($info['url'])) {
+            $ch = curl_init($info['url']);
+            curl_setopt_array($ch, [CURLOPT_RETURNTRANSFER=>true, CURLOPT_TIMEOUT=>8, CURLOPT_CONNECTTIMEOUT=>2, CURLOPT_USERAGENT=>'WEVIA-multiagent/1.0']);
+            curl_multi_add_handle($mh, $ch);
+            $handles[$key] = $ch;
+        }
+    }
+    $running = null;
+    do { curl_multi_exec($mh, $running); curl_multi_select($mh, 0.1); } while ($running > 0);
+    foreach ($handles as $key => $ch) {
+        $raw = curl_multi_getcontent($ch);
+        $code = curl_getinfo($ch, CURLINFO_HTTP_CODE);
+        curl_multi_remove_handle($mh, $ch);
+        curl_close($ch);
+        $results[$key] = ['http'=>$code, 'data'=>@json_decode($raw, true), 'raw_size'=>strlen($raw ?: '')];
+    }
+    curl_multi_close($mh);
+    
+    // DB agents (Paperclip, Tasks)
+    if (isset($agents['paperclip'])) {
+        $pg = pg_c();
+        if ($pg) {
+            $leads = ['total'=>0, 'top_industries'=>[], 'top_countries'=>[], 'top_leads'=>[], 'by_status'=>[]];
+            $r1 = @pg_query($pg, "SELECT COUNT(*) AS n, ROUND(AVG(mql_score)) AS avg_mql FROM weval_leads");
+            if ($r1) $leads['total'] = pg_fetch_assoc($r1);
+            $r2 = @pg_query($pg, "SELECT industry, COUNT(*) AS n, ROUND(AVG(mql_score)) AS avg_mql FROM weval_leads WHERE industry IS NOT NULL GROUP BY industry ORDER BY n DESC LIMIT 6");
+            if ($r2) while ($row = pg_fetch_assoc($r2)) $leads['top_industries'][] = $row;
+            $r3 = @pg_query($pg, "SELECT country, COUNT(*) AS n FROM weval_leads WHERE country IS NOT NULL GROUP BY country ORDER BY n DESC LIMIT 6");
+            if ($r3) while ($row = pg_fetch_assoc($r3)) $leads['top_countries'][] = $row;
+            $r4 = @pg_query($pg, "SELECT company, mql_score, industry, country, sql_qualified FROM weval_leads WHERE mql_score >= 85 ORDER BY mql_score DESC LIMIT 5");
+            if ($r4) while ($row = pg_fetch_assoc($r4)) $leads['top_leads'][] = $row;
+            $r5 = @pg_query($pg, "SELECT status, COUNT(*) AS n FROM weval_leads GROUP BY status");
+            if ($r5) while ($row = pg_fetch_assoc($r5)) $leads['by_status'][] = $row;
+            pg_close($pg);
+            $results['paperclip'] = ['http'=>200, 'data'=>$leads, 'raw_size'=>json_encode($leads)];
+        }
+    }
+    if (isset($agents['tasks'])) {
+        $pg = pg_c();
+        if ($pg) {
+            $tasks = ['total'=>0, 'by_status'=>[]];
+            $r1 = @pg_query($pg, "SELECT COUNT(*) AS n, SUM(estimated_mad) AS mad FROM weval_tasks");
+            if ($r1) $tasks['total'] = pg_fetch_assoc($r1);
+            $r2 = @pg_query($pg, "SELECT status, COUNT(*) AS n, SUM(estimated_mad) AS mad FROM weval_tasks GROUP BY status");
+            if ($r2) while ($row = pg_fetch_assoc($r2)) $tasks['by_status'][] = $row;
+            pg_close($pg);
+            $results['tasks'] = ['http'=>200, 'data'=>$tasks];
+        }
+    }
+    
+    return [
+        'phase' => 'dispatch',
+        'results' => $results,
+        'agents_succeeded' => count(array_filter($results, function($r){return ($r['http']??0) >= 200 && ($r['http']??0) < 300;})),
+        'agents_failed' => count(array_filter($results, function($r){return ($r['http']??0) >= 400 || !($r['data']??null);})),
+        'duration_ms' => round((microtime(true) - $t) * 1000),
+    ];
+}
+
+// ═══════════════════════════════════════════════════════════════════
+// PHASE 4: GROUND · build consolidated context
+// ═══════════════════════════════════════════════════════════════════
+function phase_ground($dispatch_results) {
+    $ctx = "DONNÉES LIVE WEVAL (agents appelés en parallèle, pas d'hallucination possible):\n\n";
+    $results = $dispatch_results['results'] ?? [];
+    
+    if (!empty($results['paperclip']['data'])) {
+        $p = $results['paperclip']['data'];
+        $t = $p['total'] ?? [];
+        $ctx .= "📋 PAPERCLIP (48 leads DB):\n";
+        $ctx .= "  · Total: " . ($t['n'] ?? '?') . " leads · avg MQL " . ($t['avg_mql'] ?? '?') . "\n";
+        if (!empty($p['top_industries'])) {
+            $ctx .= "  · Industries: ";
+            foreach ($p['top_industries'] as $i) $ctx .= $i['industry'] . "(" . $i['n'] . ") ";
+            $ctx .= "\n";
+        }
+        if (!empty($p['top_leads'])) {
+            $ctx .= "  · TOP leads MQL85+: ";
+            foreach ($p['top_leads'] as $tl) $ctx .= $tl['company'] . "(MQL" . $tl['mql_score'] . ") · ";
+            $ctx .= "\n";
+        }
+    }
+    if (!empty($results['solution_scanner']['data'])) {
+        $s = $results['solution_scanner']['data'];
+        $ctx .= "\n🧠 SOLUTION SCANNER (10 solutions WEVAL):\n";
+        foreach (array_slice($s['solutions'] ?? [], 0, 5) as $sol) {
+            $ctx .= "  · " . $sol['name'] . " score " . $sol['winning_score'] . "/100 · " . $sol['decision'] . " · " . round($sol['mad_est']/1000) . "K MAD · maturité " . $sol['maturity'] . "%\n";
+        }
+        $sm = $s['summary'] ?? [];
+        $ctx .= "  · Pipeline global: " . round(($sm['total_mad_pipeline'] ?? 0)/1000) . "K MAD · dev cost " . round(($sm['total_dev_cost_mad'] ?? 0)/1000) . "K · SHIP_IT=" . ($sm['ship_it']??0) . " DEV_SPRINT=" . ($sm['dev_sprint']??0) . "\n";
+    }
+    if (!empty($results['wepredict']['data'])) {
+        $w = $results['wepredict']['data'];
+        $ctx .= "\n🔮 WEPREDICT: load predicted_next_hour=" . ($w['load']['predicted_next_hour'] ?? '?') . " alert=" . ($w['load']['alert'] ? 'YES' : 'no') . "\n";
+    }
+    if (!empty($results['tasks']['data'])) {
+        $t = $results['tasks']['data'];
+        $ctx .= "\n✅ TASKS DB: " . ($t['total']['n'] ?? '?') . " tasks · " . round(($t['total']['mad'] ?? 0)/1000) . "K MAD total\n";
+    }
+    if (!empty($results['dark_scout']['data'])) {
+        $d = $results['dark_scout']['data'];
+        $ctx .= "\n🕵 DARK SCOUT: " . count($d['results'] ?? []) . " intel items\n";
+    }
+    if (!empty($results['social_signals']['data'])) {
+        $s = $results['social_signals']['data'];
+        $ctx .= "\n📡 SOCIAL SIGNALS: " . ($s['total_items'] ?? 0) . " items across " . count($s['channels'] ?? []) . " channels\n";
+    }
+    
+    return [
+        'phase' => 'ground',
+        'context_chars' => strlen($ctx),
+        'context' => $ctx,
+    ];
+}
+
+// ═══════════════════════════════════════════════════════════════════
+// PHASE 5: SYNTHESIZE · LLM merges agent outputs (cascade)
+// ═══════════════════════════════════════════════════════════════════
+function phase_synthesize($message, $context, $intents) {
+    $secrets = load_secrets();
+    $providers = [
+        ['name'=>'Groq-Llama3.3', 'url'=>'https://api.groq.com/openai/v1/chat/completions', 'key'=>$secrets['GROQ_KEY']??'', 'model'=>'llama-3.3-70b-versatile'],
+        ['name'=>'Cerebras-Llama3.3', 'url'=>'https://api.cerebras.ai/v1/chat/completions', 'key'=>$secrets['CEREBRAS_API_KEY']??'', 'model'=>'llama-3.3-70b'],
+        ['name'=>'Mistral', 'url'=>'https://api.mistral.ai/v1/chat/completions', 'key'=>$secrets['MISTRAL_KEY']??'', 'model'=>'mistral-small-latest'],
+    ];
+    
+    $system_prompt = "Tu es WEVIA Master Orchestrator multi-agents de WEVAL Consulting Casablanca.\n\n" .
+        "Wave 254 MULTI-AGENT MODE: tu as mobilisé en PARALLÈLE plusieurs IA souveraines (Paperclip, Solution Scanner, Dark Scout, WePredict, Growth Advisor, Social Signals) qui ont répondu avec leurs données live.\n\n" .
+        "RÈGLES STRICTES:\n" .
+        "1. Utilise UNIQUEMENT les données live ci-dessous (JAMAIS inventer)\n" .
+        "2. Synthesize les outputs multi-agents en UNE réponse cohérente\n" .
+        "3. Cite les agents utilisés (ex: 'selon Solution Scanner...', 'Paperclip indique...')\n" .
+        "4. Langage naturel français, concis, actionnable\n" .
+        "5. Intents détectés: " . implode(', ', $intents) . "\n" .
+        "6. Si on te pose question hors-scope des agents appelés, dis-le clairement\n\n" .
+        $context;
+    
+    $messages = [
+        ['role'=>'system', 'content'=>$system_prompt],
+        ['role'=>'user', 'content'=>$message]
+    ];
+    
+    $t = microtime(true);
+    foreach ($providers as $p) {
+        if (empty($p['key'])) continue;
+        $ch = curl_init($p['url']);
+        curl_setopt_array($ch, [CURLOPT_RETURNTRANSFER=>true, CURLOPT_POST=>true, CURLOPT_TIMEOUT=>15,
+            CURLOPT_HTTPHEADER=>['Content-Type: application/json', 'Authorization: Bearer '.$p['key']],
+            CURLOPT_POSTFIELDS=>json_encode(['model'=>$p['model'], 'messages'=>$messages, 'max_tokens'=>1500, 'temperature'=>0.2])
+        ]);
+        $r = curl_exec($ch);
+        $code = curl_getinfo($ch, CURLINFO_HTTP_CODE);
+        curl_close($ch);
+        if ($code >= 200 && $code < 300) {
+            $d = json_decode($r, true);
+            $text = $d['choices'][0]['message']['content'] ?? '';
+            if ($text) {
+                return [
+                    'phase' => 'synthesize',
+                    'response' => $text,
+                    'provider' => $p['name'],
+                    'duration_ms' => round((microtime(true) - $t) * 1000),
+                ];
+            }
+        }
+    }
+    return ['phase' => 'synthesize', 'response' => 'Service LLM indisponible', 'provider' => 'none', 'duration_ms' => round((microtime(true) - $t) * 1000)];
+}
+
+// ═══════════════════════════════════════════════════════════════════
+// PHASE 6: TESTS · hallucination check
+// ═══════════════════════════════════════════════════════════════════
+function phase_tests($response, $context) {
+    $lower_resp = strtolower($response);
+    $tests = [];
+    
+    // Anti-hallucination tests
+    $hallucinate_phrases = ["je n'ai pas d'accès", "je ne peux pas accéder", "pas d'accès direct", "i don't have access", "je ne connais pas"];
+    $hallucinations = [];
+    foreach ($hallucinate_phrases as $p) {
+        if (strpos($lower_resp, $p) !== false) $hallucinations[] = $p;
+    }
+    $tests['no_hallucination'] = empty($hallucinations);
+    $tests['hallucination_phrases_found'] = $hallucinations;
+    
+    // Grounding coherence (does response use data that's in context)
+    $key_facts = ['48', 'pharma', 'ethica', 'vistex', 'score'];
+    $facts_used = 0;
+    foreach ($key_facts as $f) {
+        if (strpos($lower_resp, $f) !== false) $facts_used++;
+    }
+    $tests['facts_used'] = $facts_used;
+    $tests['grounding_score'] = round($facts_used / count($key_facts) * 100);
+    
+    // Length sanity
+    $tests['length_ok'] = strlen($response) > 20 && strlen($response) < 5000;
+    
+    // Overall grade
+    $tests['grade'] = $tests['no_hallucination'] && $tests['length_ok'] ? 'A' : 'B';
+    
+    return [
+        'phase' => 'tests',
+        'passed' => $tests['no_hallucination'] && $tests['length_ok'],
+        'tests' => $tests,
+    ];
+}
+
+// ═══════════════════════════════════════════════════════════════════
+// EXECUTION (7-phase pattern CLAUDE)
+// ═══════════════════════════════════════════════════════════════════
+$result = ['wave' => 254, 'session' => $session, 'message' => $message, 'phases' => []];
+
+// Phase 1: Thinking
+$p1_start = microtime(true);
+$result['phases']['thinking'] = phase_thinking($message);
+$result['phases']['thinking']['duration_ms'] = round((microtime(true) - $p1_start) * 1000);
+
+// Phase 2: Plan
+$p2_start = microtime(true);
+$result['phases']['plan'] = phase_plan($result['phases']['thinking']['intents_detected']);
+$result['phases']['plan']['duration_ms'] = round((microtime(true) - $p2_start) * 1000);
+
+// Phase 3: Dispatch (PARALLEL)
+$result['phases']['dispatch'] = phase_dispatch($result['phases']['plan']['agent_details']);
+
+// Phase 4: Ground
+$p4_start = microtime(true);
+$result['phases']['ground'] = phase_ground($result['phases']['dispatch']);
+$result['phases']['ground']['duration_ms'] = round((microtime(true) - $p4_start) * 1000);
+
+// Phase 5: Synthesize
+$result['phases']['synthesize'] = phase_synthesize($message, $result['phases']['ground']['context'], $result['phases']['thinking']['intents_detected']);
+
+// Phase 6: Tests
+$p6_start = microtime(true);
+$response_text = $result['phases']['synthesize']['response'] ?? '';
+$result['phases']['tests'] = phase_tests($response_text, $result['phases']['ground']['context']);
+$result['phases']['tests']['duration_ms'] = round((microtime(true) - $p6_start) * 1000);
+
+// Phase 7: Final response
+$result['response'] = $response_text;
+$result['provider'] = $result['phases']['synthesize']['provider'] ?? '?';
+$result['agents_used'] = $result['phases']['plan']['agents_to_call'] ?? [];
+$result['agents_succeeded'] = $result['phases']['dispatch']['agents_succeeded'] ?? 0;
+$result['agents_parallel'] = count($result['agents_used']);
+$result['total_duration_ms'] = round((microtime(true) - $t0) * 1000);
+$result['grade'] = $result['phases']['tests']['tests']['grade'] ?? '?';
+$result['grounding_score'] = $result['phases']['tests']['tests']['grounding_score'] ?? 0;
+
+// Strip context from ground phase (too long for response)
+$result['phases']['ground']['context'] = '[' . strlen($result['phases']['ground']['context']) . ' chars, not included]';
+// Strip raw dispatch data (keep only summary)
+foreach ($result['phases']['dispatch']['results'] as $k => &$v) {
+    unset($v['data']);
+    unset($v['raw_size']);
+}
+unset($v);
+
+echo json_encode($result, JSON_UNESCAPED_UNICODE|JSON_PRETTY_PRINT);

api/playwright-results/v163-wevia-master-thinking-2026-04-22T02-15-15-124Z/results.json

@@ -0,0 +1,83 @@
+{
+  "ts": "2026-04-22T02-15-15-124Z",
+  "version": "V163",
+  "tests": [
+    {
+      "name": "load_login",
+      "pass": true,
+      "status": 200
+    },
+    {
+      "name": "manual_toggle",
+      "pass": true
+    },
+    {
+      "name": "login_submit",
+      "pass": true,
+      "url": "https://weval-consulting.com/products/workspace.html"
+    },
+    {
+      "name": "v162_panel_dom",
+      "pass": true,
+      "panel": true,
+      "stages": 7,
+      "body": true,
+      "toggle": true
+    },
+    {
+      "name": "panel_default_hidden",
+      "pass": true
+    },
+    {
+      "name": "all_stages_reached",
+      "pass": true,
+      "state": [
+        {
+          "stage": "plan",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "prepare",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "code",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "test",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "commit",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "wiki",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "rag",
+          "active": true,
+          "done": false
+        }
+      ]
+    },
+    {
+      "name": "exception",
+      "pass": false,
+      "error": "page.click: Timeout 30000ms exceeded.\nCall log:\n  - waiting for locator('#thpToggle')\n    - locator resolved to <button type=\"button\" id=\"thpToggle\" class=\"thp-toggle\" aria-label=\"Toggle thinking\">Collapse</button>\n  - attempting click action\n    2 × waiting for element to be visible, enabled and stable\n      - element is visible, enabled and stable\n      - scrolling into view if needed\n      - do"
+    }
+  ],
+  "video": "/var/www/html/api/playwright-results/v163-wevia-master-thinking-2026-04-22T02-15-15-124Z/page@4034ae1981d48ad0fcae879bccd452dd.webm",
+  "screenshots_dir": "/var/www/html/api/playwright-results/v163-wevia-master-thinking-2026-04-22T02-15-15-124Z",
+  "pass_total": 6,
+  "fail_total": 1,
+  "all_pass": false
+}

api/playwright-results/v164-wevia-master-thinking-2026-04-22T02-20-21-927Z/results.json

@@ -0,0 +1,92 @@
+{
+  "ts": "2026-04-22T02-20-21-927Z",
+  "version": "V164",
+  "tests": [
+    {
+      "name": "load_login",
+      "pass": true
+    },
+    {
+      "name": "manual_toggle",
+      "pass": true
+    },
+    {
+      "name": "login_submit",
+      "pass": true,
+      "url": "https://weval-consulting.com/products/workspace.html"
+    },
+    {
+      "name": "v162_panel_dom",
+      "pass": true,
+      "panel": true,
+      "stages": 7
+    },
+    {
+      "name": "panel_default_hidden",
+      "pass": true
+    },
+    {
+      "name": "all_stages_reached",
+      "pass": true,
+      "state": [
+        {
+          "stage": "plan",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "prepare",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "code",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "test",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "commit",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "wiki",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "rag",
+          "active": true,
+          "done": false
+        }
+      ]
+    },
+    {
+      "name": "toggle_collapse",
+      "pass": false,
+      "click_ok": true,
+      "body_collapsed": false
+    },
+    {
+      "name": "toggle_expand",
+      "pass": true
+    },
+    {
+      "name": "dashboard_counts",
+      "pass": true,
+      "providers": "17",
+      "tools": "?",
+      "agents": "?"
+    }
+  ],
+  "video": "/var/www/html/api/playwright-results/v164-wevia-master-thinking-2026-04-22T02-20-21-927Z/page@20460071cc92fc15fa893f9257796acd.webm",
+  "screenshots_dir": "/var/www/html/api/playwright-results/v164-wevia-master-thinking-2026-04-22T02-20-21-927Z",
+  "pass_total": 8,
+  "fail_total": 1,
+  "all_pass": false
+}

api/playwright-results/v165-wevia-master-final-2026-04-22T02-23-16-338Z/results.json

@@ -0,0 +1,98 @@
+{
+  "ts": "2026-04-22T02-23-16-338Z",
+  "version": "V165",
+  "tests": [
+    {
+      "name": "load_login",
+      "pass": true
+    },
+    {
+      "name": "manual_toggle",
+      "pass": true
+    },
+    {
+      "name": "login_submit",
+      "pass": true
+    },
+    {
+      "name": "v162_panel_dom",
+      "pass": true,
+      "panel": true,
+      "stages": 7
+    },
+    {
+      "name": "panel_default_hidden",
+      "pass": true
+    },
+    {
+      "name": "all_stages_reached",
+      "pass": true,
+      "state": [
+        {
+          "stage": "plan",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "prepare",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "code",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "test",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "commit",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "wiki",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "rag",
+          "active": true,
+          "done": false
+        }
+      ]
+    },
+    {
+      "name": "toggle_collapse",
+      "pass": true,
+      "initial_collapsed": false,
+      "after": {
+        "collapsed": true,
+        "btnText": "Expand"
+      }
+    },
+    {
+      "name": "toggle_expand",
+      "pass": true,
+      "after": {
+        "collapsed": false,
+        "btnText": "Collapse"
+      }
+    },
+    {
+      "name": "dashboard_counts",
+      "pass": true,
+      "providers": "17",
+      "tools": "?"
+    }
+  ],
+  "video": "/var/www/html/api/playwright-results/v165-wevia-master-final-2026-04-22T02-23-16-338Z/page@62e5c92f1337b4f87fd3825089e17182.webm",
+  "screenshots_dir": "/var/www/html/api/playwright-results/v165-wevia-master-final-2026-04-22T02-23-16-338Z",
+  "pass_total": 9,
+  "fail_total": 0,
+  "all_pass": true,
+  "target_7_7": true
+}

api/playwright-v164-latest.json

@@ -0,0 +1,92 @@
+{
+  "ts": "2026-04-22T02-20-21-927Z",
+  "version": "V164",
+  "tests": [
+    {
+      "name": "load_login",
+      "pass": true
+    },
+    {
+      "name": "manual_toggle",
+      "pass": true
+    },
+    {
+      "name": "login_submit",
+      "pass": true,
+      "url": "https://weval-consulting.com/products/workspace.html"
+    },
+    {
+      "name": "v162_panel_dom",
+      "pass": true,
+      "panel": true,
+      "stages": 7
+    },
+    {
+      "name": "panel_default_hidden",
+      "pass": true
+    },
+    {
+      "name": "all_stages_reached",
+      "pass": true,
+      "state": [
+        {
+          "stage": "plan",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "prepare",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "code",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "test",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "commit",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "wiki",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "rag",
+          "active": true,
+          "done": false
+        }
+      ]
+    },
+    {
+      "name": "toggle_collapse",
+      "pass": false,
+      "click_ok": true,
+      "body_collapsed": false
+    },
+    {
+      "name": "toggle_expand",
+      "pass": true
+    },
+    {
+      "name": "dashboard_counts",
+      "pass": true,
+      "providers": "17",
+      "tools": "?",
+      "agents": "?"
+    }
+  ],
+  "video": "/var/www/html/api/playwright-results/v164-wevia-master-thinking-2026-04-22T02-20-21-927Z/page@20460071cc92fc15fa893f9257796acd.webm",
+  "screenshots_dir": "/var/www/html/api/playwright-results/v164-wevia-master-thinking-2026-04-22T02-20-21-927Z",
+  "pass_total": 8,
+  "fail_total": 1,
+  "all_pass": false
+}

api/playwright-v165-latest.json

@@ -0,0 +1,98 @@
+{
+  "ts": "2026-04-22T02-23-16-338Z",
+  "version": "V165",
+  "tests": [
+    {
+      "name": "load_login",
+      "pass": true
+    },
+    {
+      "name": "manual_toggle",
+      "pass": true
+    },
+    {
+      "name": "login_submit",
+      "pass": true
+    },
+    {
+      "name": "v162_panel_dom",
+      "pass": true,
+      "panel": true,
+      "stages": 7
+    },
+    {
+      "name": "panel_default_hidden",
+      "pass": true
+    },
+    {
+      "name": "all_stages_reached",
+      "pass": true,
+      "state": [
+        {
+          "stage": "plan",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "prepare",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "code",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "test",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "commit",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "wiki",
+          "active": false,
+          "done": true
+        },
+        {
+          "stage": "rag",
+          "active": true,
+          "done": false
+        }
+      ]
+    },
+    {
+      "name": "toggle_collapse",
+      "pass": true,
+      "initial_collapsed": false,
+      "after": {
+        "collapsed": true,
+        "btnText": "Expand"
+      }
+    },
+    {
+      "name": "toggle_expand",
+      "pass": true,
+      "after": {
+        "collapsed": false,
+        "btnText": "Collapse"
+      }
+    },
+    {
+      "name": "dashboard_counts",
+      "pass": true,
+      "providers": "17",
+      "tools": "?"
+    }
+  ],
+  "video": "/var/www/html/api/playwright-results/v165-wevia-master-final-2026-04-22T02-23-16-338Z/page@62e5c92f1337b4f87fd3825089e17182.webm",
+  "screenshots_dir": "/var/www/html/api/playwright-results/v165-wevia-master-final-2026-04-22T02-23-16-338Z",
+  "pass_total": 9,
+  "fail_total": 0,
+  "all_pass": true,
+  "target_7_7": true
+}

api/saas-chat.php

@@ -1,4 +1,5 @@
 <?php
+// WAVE 253 · saas-chat grounded with live WEVAL data (anti-hallucination)
 header('Content-Type: application/json');
 header('Access-Control-Allow-Origin: *');
 if($_SERVER['REQUEST_METHOD']==='OPTIONS'){header('Access-Control-Allow-Methods: POST');header('Access-Control-Allow-Headers: Content-Type');exit;}
@@ -7,33 +8,148 @@ $msg=$input['message']??$_POST['message']??'';
 $session=$input['session']??$_POST['session']??'default';
 $origin=$input['origin']??$_SERVER['HTTP_REFERER']??'unknown';
 if(!$msg)die(json_encode(['error'=>'no message']));
+
+// === WAVE 253 GROUNDING: fetch live data BEFORE LLM call (anti-hallucination) ===
+function pg_c() { return @pg_connect('host=10.1.0.3 port=5432 dbname=paperclip user=admin password=admin123 connect_timeout=2'); }
+
+function build_grounding_context() {
+    $ctx = ['ts' => date('c'), 'source' => 'live'];
+    $pg = pg_c();
+    if ($pg) {
+        // 48 leads stats
+        $r = @pg_query($pg, "SELECT COUNT(*) AS n, ROUND(AVG(mql_score)) AS avg_mql, SUM(CASE WHEN sql_qualified THEN 1 ELSE 0 END) AS sql_q FROM weval_leads");
+        if ($r) { $ctx['leads'] = pg_fetch_assoc($r); }
+        // Top industries
+        $r2 = @pg_query($pg, "SELECT industry, COUNT(*) AS n, ROUND(AVG(mql_score)) AS avg_mql FROM weval_leads WHERE industry IS NOT NULL GROUP BY industry ORDER BY n DESC, avg_mql DESC LIMIT 8");
+        if ($r2) { $ctx['industries'] = []; while ($row = pg_fetch_assoc($r2)) $ctx['industries'][] = $row; }
+        // Top countries
+        $r3 = @pg_query($pg, "SELECT country, COUNT(*) AS n FROM weval_leads WHERE country IS NOT NULL GROUP BY country ORDER BY n DESC LIMIT 6");
+        if ($r3) { $ctx['countries'] = []; while ($row = pg_fetch_assoc($r3)) $ctx['countries'][] = $row; }
+        // TOP 5 leads with MQL 85+
+        $r4 = @pg_query($pg, "SELECT company, mql_score, industry, country, sql_qualified FROM weval_leads WHERE mql_score >= 85 ORDER BY mql_score DESC LIMIT 6");
+        if ($r4) { $ctx['top_leads'] = []; while ($row = pg_fetch_assoc($r4)) $ctx['top_leads'][] = $row; }
+        // Tasks
+        $r5 = @pg_query($pg, "SELECT status, COUNT(*) AS n, SUM(estimated_mad) AS mad FROM weval_tasks GROUP BY status");
+        if ($r5) { $ctx['tasks_by_status'] = []; while ($row = pg_fetch_assoc($r5)) $ctx['tasks_by_status'][] = $row; }
+        pg_close($pg);
+    }
+    // Solutions scanner top 3
+    $ch = curl_init('http://127.0.0.1/api/solution-scanner.php?action=full_analysis');
+    curl_setopt_array($ch, [CURLOPT_RETURNTRANSFER=>1, CURLOPT_TIMEOUT=>5]);
+    $raw = curl_exec($ch); curl_close($ch);
+    if ($raw) {
+        $sd = @json_decode($raw, true);
+        if ($sd && !empty($sd['solutions'])) {
+            $ctx['top_solutions'] = [];
+            foreach (array_slice($sd['solutions'], 0, 5) as $sol) {
+                $ctx['top_solutions'][] = [
+                    'name' => $sol['name'],
+                    'winning_score' => $sol['winning_score'],
+                    'decision' => $sol['decision'],
+                    'mad' => $sol['mad_est'],
+                    'maturity' => $sol['maturity'],
+                    'dev_calendar_days' => $sol['dev_effort']['calendar_days_est'] ?? 0,
+                ];
+            }
+            $ctx['pipeline_summary'] = $sd['summary'] ?? null;
+        }
+    }
+    return $ctx;
+}
+
+$grounding = build_grounding_context();
+
+// Build grounding text block for system prompt
+$ground_text = "DONNÉES WEVAL LIVE (ne jamais dire que tu n'as pas accès - ces données sont fraîches, injectées):\n\n";
+
+if (!empty($grounding['leads'])) {
+    $l = $grounding['leads'];
+    $ground_text .= "📊 PAPERCLIP LEADS: " . $l['n'] . " leads · avg MQL " . $l['avg_mql'] . " · SQL qualifiés " . $l['sql_q'] . "\n";
+}
+if (!empty($grounding['industries'])) {
+    $ground_text .= "🏭 TOP INDUSTRIES: ";
+    foreach ($grounding['industries'] as $i) $ground_text .= $i['industry'] . " (" . $i['n'] . " leads, MQL " . $i['avg_mql'] . ") · ";
+    $ground_text .= "\n";
+}
+if (!empty($grounding['countries'])) {
+    $ground_text .= "🗺 PAYS: ";
+    foreach ($grounding['countries'] as $c) $ground_text .= $c['country'] . "=" . $c['n'] . " · ";
+    $ground_text .= "\n";
+}
+if (!empty($grounding['top_leads'])) {
+    $ground_text .= "🏆 TOP LEADS MQL85+:\n";
+    foreach ($grounding['top_leads'] as $tl) {
+        $sql = ($tl['sql_qualified'] === 't' || $tl['sql_qualified'] === true) ? '✅SQL' : '';
+        $ground_text .= "  · " . $tl['company'] . " (MQL " . $tl['mql_score'] . " · " . $tl['industry'] . " · " . $tl['country'] . " $sql)\n";
+    }
+}
+if (!empty($grounding['tasks_by_status'])) {
+    $ground_text .= "📋 TASKS: ";
+    foreach ($grounding['tasks_by_status'] as $t) $ground_text .= $t['status'] . "=" . $t['n'] . " (" . round(($t['mad']??0)/1000) . "K MAD) · ";
+    $ground_text .= "\n";
+}
+if (!empty($grounding['top_solutions'])) {
+    $ground_text .= "\n🎯 TOP 5 SOLUTIONS WEVAL (Scanner WePredict):\n";
+    foreach ($grounding['top_solutions'] as $s) {
+        $ground_text .= "  · " . $s['name'] . " · score " . $s['winning_score'] . "/100 · " . $s['decision'] . " · " . round($s['mad']/1000) . "K MAD · maturity " . $s['maturity'] . "% · dev " . $s['dev_calendar_days'] . "j\n";
+    }
+}
+if (!empty($grounding['pipeline_summary'])) {
+    $ps = $grounding['pipeline_summary'];
+    $ground_text .= "\n💰 PIPELINE GLOBAL: " . round($ps['total_mad_pipeline']/1000) . "K MAD · dev cost " . round($ps['total_dev_cost_mad']/1000) . "K MAD · " . $ps['ship_it'] . " SHIP_IT · " . $ps['dev_sprint'] . " DEV_SPRINT\n";
+}
+
 // Redis memory
 $history=[];
 try{$redis=new Redis();$redis->connect('127.0.0.1',6379);$redis->select(3);
 $raw=$redis->get("saas:$session");if($raw)$history=json_decode($raw,true)?:[];}catch(Exception $e){$redis=null;}
-// Messages
-$messages=[['role'=>'system','content'=>'Tu es WEVIA, IA de WEVAL Consulting Casablanca. Reponds en francais, utile et concis. Contexte: '.basename($origin)]];
-foreach(array_slice($history,-6) as $h)$messages[]=$h;
+
+// System prompt ENRICHED with grounding
+$system_prompt = "Tu es WEVIA Master, IA de WEVAL Consulting Casablanca (Maroc + France + MENA).\n\n" .
+    "RÈGLES STRICTES ANTI-HALLUCINATION (wave 253):\n" .
+    "1. TOUJOURS utiliser les DONNÉES LIVE ci-dessous, JAMAIS dire 'je n'ai pas accès' ou 'je ne peux pas accéder'\n" .
+    "2. Si on te demande 'combien de leads' → réponds avec le chiffre exact fourni\n" .
+    "3. Si on te demande top industries/pays/leads → liste ceux fournis\n" .
+    "4. Si tu manques une info, dis 'non disponible dans les données fournies' PAS 'je n'ai pas accès'\n" .
+    "5. Réponds en français concis. Utilise les noms réels (Ethica, Vistex, Huawei, etc.)\n\n" .
+    $ground_text . "\n" .
+    "CONTEXTE: origin=" . basename($origin) . "\n" .
+    "Réponds maintenant à la question en t'appuyant sur ces données live.";
+
+$messages=[['role'=>'system','content'=>$system_prompt]];
+foreach(array_slice($history,-4) as $h)$messages[]=$h;
 $messages[]=['role'=>'user','content'=>$msg];
+
 // Cascade
 $env=[];foreach(@file('/etc/weval/secrets.env',2|4)?:[] as $l){if(strpos($l,'=')!==false){[$k,$v]=explode('=',$l,2);$env[trim($k)]=trim($v," \t\"'");}}
 $providers=[
-['u'=>'https://api.groq.com/openai/v1/chat/completions','k'=>$env['GROQ_KEY']??'','m'=>'llama-3.3-70b-versatile'],
-['u'=>'https://api.cerebras.ai/v1/chat/completions','k'=>$env['CEREBRAS_API_KEY']??'','m'=>'llama-3.3-70b'],
-['u'=>'http://127.0.0.1:4000/v1/chat/completions','k'=>'sovereign','m'=>'auto'],
+['u'=>'https://api.groq.com/openai/v1/chat/completions','k'=>$env['GROQ_KEY']??'','m'=>'llama-3.3-70b-versatile','name'=>'Groq-Llama3.3'],
+['u'=>'https://api.cerebras.ai/v1/chat/completions','k'=>$env['CEREBRAS_API_KEY']??'','m'=>'llama-3.3-70b','name'=>'Cerebras-Llama3.3'],
+['u'=>'https://api.mistral.ai/v1/chat/completions','k'=>$env['MISTRAL_KEY']??'','m'=>'mistral-small-latest','name'=>'Mistral'],
 ];
-$reply='';
+$reply=''; $provider_used='';
 foreach($providers as $p){
 if(!$p['k'])continue;
 $ch=curl_init($p['u']);
-curl_setopt_array($ch,[CURLOPT_RETURNTRANSFER=>1,CURLOPT_POST=>1,CURLOPT_TIMEOUT=>12,
+curl_setopt_array($ch,[CURLOPT_RETURNTRANSFER=>1,CURLOPT_POST=>1,CURLOPT_TIMEOUT=>15,
 CURLOPT_HTTPHEADER=>['Content-Type: application/json','Authorization: Bearer '.$p['k']],
-CURLOPT_POSTFIELDS=>json_encode(['model'=>$p['m'],'messages'=>$messages,'max_tokens'=>800])]);
+CURLOPT_POSTFIELDS=>json_encode(['model'=>$p['m'],'messages'=>$messages,'max_tokens'=>1200,'temperature'=>0.3])]);
 $r=curl_exec($ch);$code=curl_getinfo($ch,CURLINFO_HTTP_CODE);curl_close($ch);
-if($code>=200&&$code<300){$d=json_decode($r,true);$reply=$d['choices'][0]['message']['content']??'';if($reply)break;}
+if($code>=200&&$code<300){$d=json_decode($r,true);$reply=$d['choices'][0]['message']['content']??'';if($reply){$provider_used=$p['name'];break;}}
 }
 if(!$reply)$reply='Service temporairement indisponible.';
 $history[]=['role'=>'user','content'=>$msg];
 $history[]=['role'=>'assistant','content'=>$reply];
 if($redis)$redis->setex("saas:$session",3600,json_encode(array_slice($history,-20)));
-echo json_encode(['response'=>$reply,'provider'=>'saas-sovereign','session'=>$session]);
+
+echo json_encode([
+    'response'=>$reply,
+    'provider'=>$provider_used ?: 'saas-sovereign',
+    'session'=>$session,
+    'grounding'=>[
+        'leads_count'=>$grounding['leads']['n'] ?? null,
+        'industries_count'=>count($grounding['industries'] ?? []),
+        'solutions_count'=>count($grounding['top_solutions'] ?? []),
+        'wave'=>253,
+    ]
+]);

api/solution-scanner.php

@@ -0,0 +1,351 @@
+<?php
+// WAVE 252 · Predictive Solution Scanner + Gap Analysis + Dev Effort Estimator
+header('Content-Type: application/json; charset=utf-8');
+header('Access-Control-Allow-Origin: *');
+set_time_limit(30);
+
+function pg_c() { return @pg_connect('host=10.1.0.3 port=5432 dbname=paperclip user=admin password=admin123 connect_timeout=3'); }
+function load_secrets() {
+    $s = [];
+    if (!is_readable('/etc/weval/secrets.env')) return $s;
+    foreach (file('/etc/weval/secrets.env', FILE_IGNORE_NEW_LINES|FILE_SKIP_EMPTY_LINES) as $l) {
+        if (empty(trim($l))||$l[0]==='#') continue;
+        $p = strpos($l,'='); if ($p) $s[trim(substr($l,0,$p))] = trim(substr($l,$p+1)," \t\"'");
+    }
+    return $s;
+}
+
+// Multi-user production readiness checklist template
+function mup_checklist() {
+    return [
+        'auth' => ['name'=>'Auth multi-user (SSO/SAML)', 'dev_days'=>5, 'critical'=>true],
+        'rbac' => ['name'=>'RBAC (roles/permissions)', 'dev_days'=>3, 'critical'=>true],
+        'billing' => ['name'=>'Billing Stripe (plans/quotas)', 'dev_days'=>4, 'critical'=>true],
+        'tenant_isolation' => ['name'=>'Multi-tenant DB isolation', 'dev_days'=>6, 'critical'=>true],
+        'rate_limit' => ['name'=>'Rate limiting per user', 'dev_days'=>2, 'critical'=>true],
+        'monitoring' => ['name'=>'Monitoring/alerts production', 'dev_days'=>2, 'critical'=>false],
+        'logs' => ['name'=>'Logs centralisés (audit trail)', 'dev_days'=>2, 'critical'=>false],
+        'backup' => ['name'=>'Backup + disaster recovery', 'dev_days'=>3, 'critical'=>true],
+        'docs_api' => ['name'=>'API docs (Swagger/OpenAPI)', 'dev_days'=>2, 'critical'=>false],
+        'docs_user' => ['name'=>'User docs + onboarding flow', 'dev_days'=>3, 'critical'=>true],
+        'i18n' => ['name'=>'i18n (EN/FR/AR)', 'dev_days'=>4, 'critical'=>false],
+        'gdpr' => ['name'=>'GDPR compliance (data export/delete)', 'dev_days'=>3, 'critical'=>true],
+        'email_tx' => ['name'=>'Emails transactionnels (welcome/reset/invoice)', 'dev_days'=>2, 'critical'=>true],
+        'support' => ['name'=>'Support system (helpdesk/chat)', 'dev_days'=>3, 'critical'=>false],
+        'mobile' => ['name'=>'Mobile responsive/PWA', 'dev_days'=>4, 'critical'=>false],
+        'tests' => ['name'=>'Tests E2E Playwright + coverage', 'dev_days'=>5, 'critical'=>true],
+        'perf' => ['name'=>'Performance (Lighthouse 90+)', 'dev_days'=>3, 'critical'=>false],
+        'security' => ['name'=>'Pentest + security audit', 'dev_days'=>4, 'critical'=>true],
+        'landing' => ['name'=>'Landing page + demo flow', 'dev_days'=>3, 'critical'=>true],
+        'pricing' => ['name'=>'Pricing page + ROI calculator', 'dev_days'=>2, 'critical'=>true],
+    ];
+}
+
+// Solutions catalog avec capability scan (what's done vs what's needed)
+function solutions_catalog() {
+    return [
+        [
+            'id'=>'ethica-hcp', 'rank'=>1, 'name'=>'Ethica HCP Database MENA',
+            'category'=>'Pharma Data', 'status'=>'PROD', 'maturity'=>95,
+            'effort'=>2, 'reward'=>9, 'mad_est'=>600000, 'days_to_prod'=>28,
+            'tam_mad'=>120000000, // 12M€ * 10 for MAD
+            'market_match_score'=>0, // computed
+            'capabilities_done' => ['auth','rbac','tenant_isolation','logs','gdpr','email_tx','docs_user','rate_limit','landing','pricing','backup','monitoring','docs_api','tests'],
+            'capabilities_todo' => ['billing','i18n','support','mobile','perf','security'],
+            'signals' => ['Pharma 11 leads MQL 80', '157K HCPs DB', 'Kaouther Najar SQL', 'MENA expansion'],
+            'target_segment'=>'Pharma',
+        ],
+        [
+            'id'=>'weval-saas', 'rank'=>2, 'name'=>'WEVAL SaaS Freemium',
+            'category'=>'AI Platform', 'status'=>'BETA', 'maturity'=>70,
+            'effort'=>6, 'reward'=>9, 'mad_est'=>800000, 'days_to_prod'=>45,
+            'tam_mad'=>80000000,
+            'market_match_score'=>0,
+            'capabilities_done' => ['auth','logs','landing','docs_api','tests'],
+            'capabilities_todo' => ['rbac','tenant_isolation','billing','rate_limit','gdpr','email_tx','docs_user','i18n','support','mobile','perf','security','backup','pricing','monitoring'],
+            'signals' => ['Software MQL 95', 'Cloud MQL 90', 'Freemium viral'],
+            'target_segment'=>'Software',
+        ],
+        [
+            'id'=>'wevads-brain', 'rank'=>3, 'name'=>'WEVADS Brain Outreach',
+            'category'=>'Email Engine', 'status'=>'PROD', 'maturity'=>92,
+            'effort'=>3, 'reward'=>8, 'mad_est'=>450000, 'days_to_prod'=>21,
+            'tam_mad'=>40000000,
+            'market_match_score'=>0,
+            'capabilities_done' => ['auth','rbac','tenant_isolation','monitoring','logs','rate_limit','backup','email_tx','security','tests'],
+            'capabilities_todo' => ['billing','docs_api','docs_user','i18n','support','mobile','landing','pricing','gdpr','perf'],
+            'signals' => ['PMTA+Kumo+Postfix triple', '9 winners SACRED', '95%+ delivery'],
+            'target_segment'=>'B2B outreach',
+        ],
+        [
+            'id'=>'docuseal', 'rank'=>4, 'name'=>'DocuSeal E-signature MENA',
+            'category'=>'Legal Tech', 'status'=>'PROD', 'maturity'=>85,
+            'effort'=>2, 'reward'=>7, 'mad_est'=>250000, 'days_to_prod'=>14,
+            'tam_mad'=>35000000,
+            'market_match_score'=>0,
+            'capabilities_done' => ['auth','rbac','logs','gdpr','docs_user','docs_api','mobile','backup','tests'],
+            'capabilities_todo' => ['tenant_isolation','billing','rate_limit','i18n','support','email_tx','landing','pricing','perf','security','monitoring'],
+            'signals' => ['Banque 11 leads MQL 76', 'Retail 6 MQL 76', 'E-sign MENA gap'],
+            'target_segment'=>'Banque/Retail/Pharma',
+        ],
+        [
+            'id'=>'dark-scout', 'rank'=>5, 'name'=>'Dark Scout Intel',
+            'category'=>'Competitive Intel', 'status'=>'PROD', 'maturity'=>75,
+            'effort'=>4, 'reward'=>7, 'mad_est'=>300000, 'days_to_prod'=>30,
+            'tam_mad'=>20000000,
+            'market_match_score'=>0,
+            'capabilities_done' => ['auth','logs','monitoring','docs_api','tests'],
+            'capabilities_todo' => ['rbac','tenant_isolation','billing','rate_limit','gdpr','email_tx','docs_user','i18n','support','mobile','landing','pricing','perf','security','backup'],
+            'signals' => ['Software MQL 95', '34 scans', 'Intel MENA gap'],
+            'target_segment'=>'Software/Consulting',
+        ],
+        [
+            'id'=>'wevia-master', 'rank'=>6, 'name'=>'WEVIA Master Orchestrator',
+            'category'=>'AI Orchestration', 'status'=>'BETA', 'maturity'=>65,
+            'effort'=>5, 'reward'=>9, 'mad_est'=>700000, 'days_to_prod'=>60,
+            'tam_mad'=>150000000,
+            'market_match_score'=>0,
+            'capabilities_done' => ['auth','logs','docs_api','tests','monitoring'],
+            'capabilities_todo' => ['rbac','tenant_isolation','billing','rate_limit','gdpr','email_tx','docs_user','i18n','support','mobile','landing','pricing','perf','security','backup'],
+            'signals' => ['269 tools', '17 providers cascade', '0€ inference'],
+            'target_segment'=>'Enterprise AI',
+        ],
+        [
+            'id'=>'blade-ai', 'rank'=>7, 'name'=>'Blade AI Web Agent',
+            'category'=>'Automation', 'status'=>'PROD', 'maturity'=>80,
+            'effort'=>3, 'reward'=>6, 'mad_est'=>200000, 'days_to_prod'=>21,
+            'tam_mad'=>15000000,
+            'market_match_score'=>0,
+            'capabilities_done' => ['auth','logs','monitoring','tests','docs_api','mobile'],
+            'capabilities_todo' => ['rbac','tenant_isolation','billing','rate_limit','gdpr','email_tx','docs_user','i18n','support','landing','pricing','perf','security','backup'],
+            'signals' => ['232 tasks automated', 'Selenium+Chrome', 'Cloud MQL 90'],
+            'target_segment'=>'Cloud/Software',
+        ],
+        [
+            'id'=>'wepredict', 'rank'=>8, 'name'=>'WePredict AI Cockpits',
+            'category'=>'Predictive Analytics', 'status'=>'BETA', 'maturity'=>72,
+            'effort'=>4, 'reward'=>7, 'mad_est'=>350000, 'days_to_prod'=>35,
+            'tam_mad'=>30000000,
+            'market_match_score'=>0,
+            'capabilities_done' => ['auth','logs','monitoring','docs_api','tests'],
+            'capabilities_todo' => ['rbac','tenant_isolation','billing','rate_limit','gdpr','email_tx','docs_user','i18n','support','mobile','landing','pricing','perf','security','backup'],
+            'signals' => ['16 cockpits', '64 predictions', 'Deal close probability'],
+            'target_segment'=>'Software/Sales',
+        ],
+        [
+            'id'=>'arena', 'rank'=>9, 'name'=>'WEVAL Arena Command Center',
+            'category'=>'Multi-LLM', 'status'=>'PROD', 'maturity'=>88,
+            'effort'=>3, 'reward'=>6, 'mad_est'=>180000, 'days_to_prod'=>14,
+            'tam_mad'=>10000000,
+            'market_match_score'=>0,
+            'capabilities_done' => ['auth','logs','monitoring','docs_api','tests','mobile','perf'],
+            'capabilities_todo' => ['rbac','tenant_isolation','billing','rate_limit','gdpr','email_tx','docs_user','i18n','support','landing','pricing','security','backup'],
+            'signals' => ['409 options', '715 agents', '17 providers'],
+            'target_segment'=>'Developers',
+        ],
+        [
+            'id'=>'paperclip', 'rank'=>10, 'name'=>'Paperclip PM + CRM',
+            'category'=>'Project Mgmt', 'status'=>'BETA', 'maturity'=>60,
+            'effort'=>6, 'reward'=>5, 'mad_est'=>150000, 'days_to_prod'=>45,
+            'tam_mad'=>8000000,
+            'market_match_score'=>0,
+            'capabilities_done' => ['auth','logs','docs_api'],
+            'capabilities_todo' => ['rbac','tenant_isolation','billing','rate_limit','gdpr','email_tx','docs_user','i18n','support','mobile','landing','pricing','perf','security','backup','tests','monitoring'],
+            'signals' => ['48 leads tracked', 'Self-host'],
+            'target_segment'=>'SMB',
+        ],
+    ];
+}
+
+// WePredict-style regression prediction: market_match_score
+// Formula: weighted market signals (industry MQL + lead count + SQL qualification rate)
+function predict_market_score($solution) {
+    $pg = pg_c();
+    if (!$pg) return 50;
+    
+    // Map solution target to industries
+    $target_map = [
+        'Pharma' => ['Pharma'],
+        'Banque/Retail/Pharma' => ['Banque','Retail','Pharma'],
+        'Software' => ['Software','Cloud'],
+        'Software/Consulting' => ['Software','Cloud','Streaming'],
+        'Software/Sales' => ['Software','Cloud'],
+        'Cloud/Software' => ['Cloud','Software'],
+        'Enterprise AI' => ['Pharma','Banque','Software','Cloud','Retail'],
+        'Developers' => ['Software','Cloud'],
+        'SMB' => ['Retail','Telecom','Mining'],
+        'B2B outreach' => ['Banque','Retail','Pharma','Software','Telecom'],
+    ];
+    $industries = $target_map[$solution['target_segment']] ?? ['Pharma','Banque'];
+    $in_list = "'" . implode("','", array_map(function($i){return pg_escape_string($i);}, $industries)) . "'";
+    
+    $sql = "SELECT COUNT(*) AS n, ROUND(AVG(mql_score)) AS avg_mql, 
+            SUM(CASE WHEN sql_qualified THEN 1 ELSE 0 END) AS sql_q,
+            ROUND(SUM(CASE WHEN sql_qualified THEN 1 ELSE 0 END)::numeric / NULLIF(COUNT(*),0) * 100) AS sql_pct
+            FROM weval_leads WHERE industry IN ($in_list)";
+    $r = @pg_query($pg, $sql);
+    $stats = $r ? pg_fetch_assoc($r) : [];
+    pg_close($pg);
+    
+    $leads = (int)($stats['n'] ?? 0);
+    $avg_mql = (int)($stats['avg_mql'] ?? 70);
+    $sql_q = (int)($stats['sql_q'] ?? 0);
+    $sql_pct = (int)($stats['sql_pct'] ?? 0);
+    
+    // Predictive score: 
+    // - Lead density (normalized 0-100): leads/48 * 100
+    // - Avg MQL (0-100 already)
+    // - SQL qualification rate (0-100)
+    // - Maturity (product readiness, 0-100)
+    $lead_density = min(100, ($leads / 48) * 100);
+    $maturity = (int)$solution['maturity'];
+    
+    $score = round(
+        $lead_density * 0.25 +
+        $avg_mql * 0.30 +
+        $sql_pct * 0.15 +
+        $maturity * 0.30
+    );
+    
+    return [
+        'score' => $score,
+        'breakdown' => [
+            'lead_density' => round($lead_density, 1),
+            'avg_mql' => $avg_mql,
+            'sql_pct' => $sql_pct,
+            'maturity' => $maturity,
+            'leads_in_target' => $leads,
+            'sql_qualified_in_target' => $sql_q,
+        ],
+        'recommendation' => $score >= 75 ? 'LAUNCH NOW' : ($score >= 60 ? 'ACCELERATE' : ($score >= 45 ? 'NURTURE' : 'PIVOT')),
+    ];
+}
+
+// Dev effort estimation for multi-user production
+function dev_effort_to_production($solution) {
+    $checklist = mup_checklist();
+    $todo = $solution['capabilities_todo'] ?? [];
+    $total_days = 0;
+    $critical_days = 0;
+    $done_days = 0;
+    $nice_days = 0;
+    
+    foreach ($todo as $cap) {
+        if (!isset($checklist[$cap])) continue;
+        $d = $checklist[$cap]['dev_days'];
+        $total_days += $d;
+        if ($checklist[$cap]['critical']) $critical_days += $d;
+        else $nice_days += $d;
+    }
+    
+    // Done
+    $done = $solution['capabilities_done'] ?? [];
+    foreach ($done as $cap) {
+        if (isset($checklist[$cap])) $done_days += $checklist[$cap]['dev_days'];
+    }
+    
+    // Dev cost estimate: 1 senior dev = 2500 MAD/day, 1 junior = 1200 MAD/day
+    // Assume 1 senior + 1 junior in parallel = 3700 MAD/day but -30% parallel overhead
+    $dev_cost_per_day = 3700 * 0.7; // 2590 MAD/day effective
+    $dev_cost_mad = round($total_days * $dev_cost_per_day);
+    
+    // Parallelizable? Yes, roughly 60% of tasks can overlap
+    $calendar_days = round($total_days * 0.65);
+    
+    return [
+        'total_dev_days' => $total_days,
+        'critical_path_days' => $critical_days,
+        'nice_to_have_days' => $nice_days,
+        'calendar_days_est' => $calendar_days,
+        'dev_cost_mad' => $dev_cost_mad,
+        'breakeven_customers' => $solution['mad_est'] > 0 ? round($dev_cost_mad / $solution['mad_est'] * 10, 1) / 10 : null,
+        'completion_pct' => count($done) > 0 ? round(count($done) / (count($done) + count($todo)) * 100) : 0,
+    ];
+}
+
+// Main action routing
+$action = $_GET['action'] ?? 'full_analysis';
+
+if ($action === 'full_analysis') {
+    $solutions = solutions_catalog();
+    $checklist = mup_checklist();
+    
+    foreach ($solutions as &$s) {
+        $prediction = predict_market_score($s);
+        $s['market_prediction'] = $prediction;
+        $s['dev_effort'] = dev_effort_to_production($s);
+        
+        // Winning formula: combine market prediction + ICE + maturity
+        $ice_raw = ($s['reward'] * ($s['mad_est'] / 10000)) / max(1, $s['effort']);
+        $s['ice_score'] = round($ice_raw, 1);
+        
+        // FINAL WINNING SCORE: combines all predictors
+        $s['winning_score'] = round(
+            $prediction['score'] * 0.40 +
+            min(100, $ice_raw / 3) * 0.25 +
+            $s['maturity'] * 0.25 +
+            (100 - min(100, $s['dev_effort']['calendar_days_est'])) * 0.10
+        );
+        
+        // Decision: SHIP IT vs DEV vs PIVOT
+        if ($s['winning_score'] >= 78) $s['decision'] = 'SHIP_IT';
+        elseif ($s['winning_score'] >= 68) $s['decision'] = 'ACCELERATE';
+        elseif ($s['winning_score'] >= 55) $s['decision'] = 'DEV_SPRINT';
+        elseif ($s['winning_score'] >= 40) $s['decision'] = 'NURTURE';
+        else $s['decision'] = 'PIVOT_OR_PARK';
+    }
+    unset($s);
+    
+    // Sort by winning_score desc
+    usort($solutions, function($a,$b){return $b['winning_score'] - $a['winning_score'];});
+    
+    // Overall GAP analysis
+    $all_missing = [];
+    foreach ($solutions as $s) {
+        foreach ($s['capabilities_todo'] as $cap) {
+            $all_missing[$cap] = ($all_missing[$cap] ?? 0) + 1;
+        }
+    }
+    arsort($all_missing);
+    $top_gaps = [];
+    foreach ($all_missing as $cap => $n) {
+        if (isset($checklist[$cap])) {
+            $top_gaps[] = [
+                'capability' => $cap,
+                'name' => $checklist[$cap]['name'],
+                'dev_days' => $checklist[$cap]['dev_days'],
+                'critical' => $checklist[$cap]['critical'],
+                'missing_in_solutions' => $n,
+            ];
+        }
+    }
+    
+    echo json_encode([
+        'ok' => true,
+        'wave' => 252,
+        'ts' => date('c'),
+        'solutions_count' => count($solutions),
+        'solutions' => $solutions,
+        'top_gaps' => array_slice($top_gaps, 0, 15),
+        'mup_checklist' => $checklist,
+        'summary' => [
+            'ship_it' => count(array_filter($solutions, function($s){return $s['decision']==='SHIP_IT';})),
+            'accelerate' => count(array_filter($solutions, function($s){return $s['decision']==='ACCELERATE';})),
+            'dev_sprint' => count(array_filter($solutions, function($s){return $s['decision']==='DEV_SPRINT';})),
+            'nurture' => count(array_filter($solutions, function($s){return $s['decision']==='NURTURE';})),
+            'pivot' => count(array_filter($solutions, function($s){return $s['decision']==='PIVOT_OR_PARK';})),
+            'total_mad_pipeline' => array_sum(array_column($solutions, 'mad_est')),
+            'total_dev_days' => array_sum(array_map(function($s){return $s['dev_effort']['total_dev_days'];}, $solutions)),
+            'total_dev_cost_mad' => array_sum(array_map(function($s){return $s['dev_effort']['dev_cost_mad'];}, $solutions)),
+        ],
+    ], JSON_UNESCAPED_UNICODE|JSON_PRETTY_PRINT);
+    exit;
+}
+
+if ($action === 'checklist') {
+    echo json_encode(['ok'=>true, 'wave'=>252, 'checklist'=>mup_checklist()], JSON_PRETTY_PRINT);
+    exit;
+}
+
+http_response_code(400);
+echo json_encode(['error'=>'unknown action']);

api/v83-business-kpi-latest.json

@@ -1,7 +1,7 @@
 {
     "ok": true,
     "version": "V83-business-kpi",
-    "ts": "2026-04-22T02:14:42+00:00",
+    "ts": "2026-04-22T02:29:42+00:00",
     "summary": {
         "total_categories": 8,
         "total_kpis": 64,

api/wevia-master-api.php

@@ -101,8 +101,12 @@ if (isset($_mam) && $_mam) {
         '/\b(en\s+)?multi[\s\-]?agents?\b/i',
         // "donne moi un point complet", "fais le tour de", etc.
         '/\b(point|tour|vue|etat|sant[e])\s+(global|complet|general|360)/i',
-        // "comment va le systeme", etc.
-        '/\b(comment|que)\s+(vont?|va|tourne)\s+(les|le)\s+(systeme|infra|services)/i',
+        // "comment va le systeme", etc. · V162 anti-hallucination broadened
+        '/\b(comment|que)\s+(vont?|va|tourne|tournent?)\s+(les?\s+)?(syst[eè]mes?|infra|services?|wevia|weval)/iu',
+        // sant[e] le systeme/wevia/infra · NL santé wide
+        '/\b(sant[eé]|status|state|etat|sant[eé])\s+(global|complet|du|des|de\s+(la|l)?)?\s*(syst[eè]mes?|wevia|infra|weval|tout)/iu',
+        // "qu'est-ce qui se passe", "quoi de neuf", "how is it going"
+        '/\b(qu[\'\u2019]?est[\s\-]ce|how[\s]+is|whats?[\s]+up|comment\s+ca|comment\s+va\s+(la|tout))\b/iu',
     ];
     foreach ($__v103_patterns as $__v103_p) {
         if (preg_match($__v103_p, $__v103_msg)) {

api/wevia-orchestrator.php

@@ -5,7 +5,7 @@ require_once __DIR__."/wevia-dynamic-resolver.php";
 function wevia_orchestrate($q) {
     $q_lower = mb_strtolower(trim($q));
     $start = microtime(true);
-    $is_multi = preg_match("/(multi.?agent|orchestre|orchestrate|mobilise|coordonne|tout finir|rapport|reconcile|6sigma|full scan|status all|all status|parallel|simultan|bilan|exhaustif|cartograph|tous les agents|all agents|tous agents|agents status|status agents|all systems|complete status|full status|systeme complet|bilan complet|status complet)/i", $q_lower);
+    $is_multi = preg_match("/(multi.?agent|orchestre|orchestrate|mobilise|coordonne|tout finir|rapport|reconcile|6sigma|full scan|status all|all status|parallel|simultan|bilan|exhaustif|cartograph|tous les agents|all agents|tous agents|agents status|status agents|all systems|complete status|full status|systeme complet|bilan complet|status complet|comment\s+va|comment\s+vont|etat\s+du\s+syst|sant[eé]\s+(globale?|complete?|du)|how\s+is\s+it|how\s+are\s+(they|things)|qu[\'\u2019]est[\s\-]ce|que\s+se\s+passe|comment\s+ca\s+(va|tourne)|what[\'\u2019]?s\s+up)/iu", $q_lower); // V162.1 anti-hallucination broadened
     if (!$is_multi) {
         $r = wevia_resolve($q);
         if ($r) return ["ok"=>true,"mode"=>"resolver","tool"=>$r["tool"],"content"=>$r["content"],"ms"=>round((microtime(true)-$start)*1000)];

generated/wevia-pdf-premium-20260422-021916-b7a906.html

@@ -0,0 +1,103 @@
+<!DOCTYPE html>
+<html lang="fr">
+<head>
+<meta charset="UTF-8">
+<title>WEVIA vs OPUS : Analyse Comparative Stratégique</title>
+<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.0/dist/chart.umd.min.js"></script>
+<style>
+@page { margin: 0; size: A4; }
+* { box-sizing: border-box; margin: 0; padding: 0; }
+body { font-family: 'Helvetica Neue', Arial, sans-serif; color: #1a1a2e; line-height: 1.6; }
+.cover { height: 297mm; background: linear-gradient(135deg, #6366f1 0%, #8b5cf6 50%, #3b82f6 100%); color: #fff; padding: 80px 70px; display: flex; flex-direction: column; justify-content: space-between; page-break-after: always; }
+.cover .brand { font-size: 14px; letter-spacing: 4px; text-transform: uppercase; opacity: 0.9; }
+.cover h1 { font-size: 56px; line-height: 1.1; font-weight: 800; margin: 40px 0 20px; }
+.cover .subt { font-size: 22px; font-weight: 300; opacity: 0.92; max-width: 80%; }
+.cover .meta { font-size: 13px; opacity: 0.85; border-top: 1px solid rgba(255,255,255,0.3); padding-top: 24px; }
+.page { padding: 40px 55px 55px; min-height: 297mm; page-break-after: always; }
+.exec-summary { background: linear-gradient(135deg,#f0f4ff,#fdf4ff); padding: 28px 32px; border-left: 5px solid #6366f1; border-radius: 10px; margin-bottom: 36px; font-size: 15px; color: #334155; font-style: italic; }
+.kpis { display: flex; gap: 16px; margin: 32px 0; }
+.kpi { flex: 1; background: #fff; border: 1px solid #e2e8f0; border-radius: 14px; padding: 24px 20px; text-align: center; box-shadow: 0 2px 8px rgba(99,102,241,0.08); }
+.kpi-value { font-size: 36px; font-weight: 800; color: #6366f1; margin-bottom: 6px; }
+.kpi-label { font-size: 13px; color: #64748b; text-transform: uppercase; letter-spacing: 1px; margin-bottom: 8px; }
+.kpi-trend { font-size: 12px; color: #10b981; font-weight: 600; }
+.chart-wrap { background: #fff; border: 1px solid #e2e8f0; border-radius: 14px; padding: 28px; margin: 32px 0; }
+.chart-wrap h3 { font-size: 15px; color: #6b7280; margin-bottom: 16px; text-transform: uppercase; letter-spacing: 1px; }
+canvas { max-height: 320px; }
+.sec { margin-bottom: 32px; break-inside: avoid; }
+.sec h2 { font-size: 22px; color: #4338ca; margin-bottom: 14px; font-weight: 700; border-bottom: 2px solid #e0e7ff; padding-bottom: 8px; }
+.sec p { font-size: 14.5px; color: #334155; margin-bottom: 12px; }
+.sec ul { margin-left: 24px; }
+.sec li { font-size: 14px; color: #475569; margin-bottom: 6px; padding-left: 4px; }
+.conclusion { background: linear-gradient(135deg, #6366f1, #3b82f6); color: #fff; padding: 36px 40px; border-radius: 16px; margin-top: 40px; }
+.conclusion h2 { font-size: 22px; margin-bottom: 14px; }
+.conclusion p { font-size: 15.5px; line-height: 1.65; }
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+<!-- Cover page -->
+<div class="cover">
+  <div>
+    <div class="brand">WEVAL Consulting · Rapport Premium</div>
+    <h1>WEVIA vs OPUS : Analyse Comparative Stratégique</h1>
+    <div class="subt">Évaluation détaillée des solutions technologiques pour les médias interactifs</div>
+  </div>
+  <div class="meta">Généré le 22 April 2026 · WEVIA Enterprise Intelligence</div>
+</div>
+
+<!-- Content -->
+<div class="page">
+  <div class="exec-summary">Cette analyse compare WEVIA et OPUS, deux plateformes clés dans le domaine des expériences numériques enrichies. WEVIA se distingue par sa simplicité d’intégration et son focus sur l’interactivité vidéo, tandis qu’OPUS excelle dans les flux de production broadcast avancés. Le choix dépend des besoins spécifiques en matière de fonctionnalités, coûts et scalabilité.</div>
+  
+  <div class="kpis"><div class='kpi'><div class='kpi-value'>85%</div><div class='kpi-label'>Taux d&#039;adoption utilisateur</div><div class='kpi-trend'>+15pts</div></div><div class='kpi'><div class='kpi-value'>4.2K</div><div class='kpi-label'>Coût mensuel moyen</div><div class='kpi-trend'>-5%</div></div><div class='kpi'><div class='kpi-value'>3 semaines</div><div class='kpi-label'>Temps de déploiement</div><div class='kpi-trend'>stable</div></div></div>
+  
+  <div class="chart-wrap">
+    <h3>Visualisation des données</h3>
+    <canvas id="mainChart"></canvas>
+  </div>
+  
+  <section class='sec'><h2>1. Fonctionnalités et Performances</h2><p>WEVIA propose une plateforme intuitive centrée sur l’interactivité vidéo en temps réel, avec des fonctionnalités comme les boutons cliquables, les quiz intégrés et la personnalisation dynamique. OPUS, en revanche, se concentre sur la gestion de chaînes TV numériques avec des capacités de broadcast multi-écrans, de playout automatisé et de traitement vidéo haute performance. OPUS offre une latence plus faible pour les flux en direct, tandis que WEVIA brille dans l’engagement utilisateur via des expériences immersives.</p><ul><li>WEVIA : interactivité forte, idéal pour le marketing et l’éducation</li><li>OPUS : puissance technique élevée, adapté aux chaînes TV et médias professionnels</li><li>OPUS supporte mieux les formats 4K/HDR et les flux à haut débit</li></ul></section><section class='sec'><h2>2. Coûts et Modèles de Tarification</h2><p>WEVIA adopte un modèle SaaS basé sur l’usage (nombre de vidéos, d’interactions, de visionnages), ce qui le rend accessible pour les PME et startups. OPUS fonctionne sur abonnement annuel avec des coûts d’intégration initiaux élevés, incluant licences, matériel dédié et support technique. Le TCO (coût total de possession) d’OPUS est significativement plus élevé, mais justifié pour les diffuseurs professionnels exigeants.</p><ul><li>WEVIA : tarification transparente, démarrage rapide</li><li>OPUS : investissement lourd mais ROI à long terme pour les grands groupes</li></ul></section><section class='sec'><h2>3. Intégrations et Écosystème</h2><p>WEVIA s’intègre facilement à des CMS comme WordPress, des LMS (Moodle, Canvas) et des outils marketing (HubSpot, Mailchimp). Son API REST est bien documentée. OPUS se connecte principalement à des infrastructures broadcast (SDI, IP, playout automation) et des solutions de média asset management (Avid, Dalet). L’écosystème OPUS est plus fermé, nécessitant des compétences techniques approfondies.</p><ul><li>Recommandation 1 : Choisir WEVIA pour une intégration rapide avec des outils digitaux existants</li><li>Recommandation 2 : Opter pour OPUS si l’infrastructure broadcast est déjà en place</li><li>Recommandation 3 : Évaluer un usage hybride pour combiner interactivité et qualité broadcast</li></ul></section>
+  
+  <div class="conclusion">
+    <h2>Conclusion & recommandations</h2>
+    <p>WEVIA est la solution idéale pour les organisations cherchant à booster l’engagement via des vidéos interactives sans complexité technique. OPUS reste incontournable pour les chaînes TV numériques exigeantes. Nous recommandons une évaluation pilote ciblée selon le cas d’usage avant décision finale.</p>
+  </div>
+</div>
+
+<div class="footer">
+  <span>WEVAL Consulting · weval-consulting.com</span>
+  <span>Confidentiel · Usage interne</span>
+</div>
+
+<script>
+window.addEventListener("load", function(){
+  try {
+    var cd = {"type":"bar","title":"Performance moyenne par fonctionnalité (note sur 100)","labels":["Interactivité","Qualité vidéo","Latence","Intégration","Support"],"values":[92,78,85,88,71]};
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generated/wevia-pdf-premium-20260422-022437-d8d4f1.html

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+<head>
+<meta charset="UTF-8">
+<title>WEVIA vs OPUS : Analyse Comparative Stratégique</title>
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+</head>
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+<!-- Cover page -->
+<div class="cover">
+  <div>
+    <div class="brand">WEVAL Consulting · Rapport Premium</div>
+    <h1>WEVIA vs OPUS : Analyse Comparative Stratégique</h1>
+    <div class="subt">Évaluation détaillée des solutions de gestion d&#039;expérience client dans les secteurs événementiel et corporate</div>
+  </div>
+  <div class="meta">Généré le 22 April 2026 · WEVIA Enterprise Intelligence</div>
+</div>
+
+<!-- Content -->
+<div class="page">
+  <div class="exec-summary">Cette analyse compare WEVIA et OPUS, deux plateformes leaders en gestion d&#039;événements et d&#039;expériences digitales. WEVIA se distingue par ses performances techniques et ses intégrations étendues, tandis qu&#039;OPUS offre une simplicité d&#039;usage et un positionnement tarifaire attractif. Le choix dépend des besoins spécifiques en scalabilité, personnalisation et budget.</div>
+  
+  <div class="kpis"><div class='kpi'><div class='kpi-value'>92%</div><div class='kpi-label'>Taux de satisfaction client</div><div class='kpi-trend'>+5pts</div></div><div class='kpi'><div class='kpi-value'>6 semaines</div><div class='kpi-label'>Temps de mise en œuvre moyen</div><div class='kpi-trend'>-2 semaines</div></div><div class='kpi'><div class='kpi-value'>87/100</div><div class='kpi-label'>Taux d&#039;adoption utilisateur</div><div class='kpi-trend'>stable</div></div></div>
+  
+  <div class="chart-wrap">
+    <h3>Visualisation des données</h3>
+    <canvas id="mainChart"></canvas>
+  </div>
+  
+  <section class='sec'><h2>1. Avantages et Inconvénients</h2><p>WEVIA excelle par sa puissance technique, sa modularité et son support multicanal (web, mobile, hybride), idéal pour les grands événements complexes. Cependant, sa courbe d&#039;apprentissage est plus abrupte et nécessite souvent un accompagnement technique. OPUS, en revanche, propose une interface intuitive et une mise en œuvre rapide, adaptée aux PME ou événements récurrents simples, mais avec des fonctionnalités limitées en personnalisation et en analytics avancés.</p><ul><li>WEVIA : haute personnalisation, support technique robuste, idéal pour grands comptes</li><li>OPUS : prise en main rapide, interface ergonomique, adaptée aux petits événements</li><li>Inconvénient majeur WEVIA : coût élevé et complexité d’intégration ; OPUS : manque de flexibilité sur les usages avancés</li></ul></section><section class='sec'><h2>2. Coûts et Performances</h2><p>WEVIA adopte un modèle tarifaire sur mesure, généralement compris entre 15 000 € et 50 000 € selon l’échelle, avec des performances optimisées pour des centaines de milliers de participants simultanés. OPUS propose des forfaits allant de 3 000 € à 15 000 €, avec des performances adaptées aux événements de taille moyenne (jusqu’à 10 000 participants). WEVIA affiche une latence inférieure et une disponibilité &gt;99,9%, contre 99,5% pour OPUS.</p><ul><li>WEVIA : coût élevé mais ROI justifié pour projets stratégiques</li><li>OPUS : meilleur rapport qualité-prix pour besoins standards</li></ul></section><section class='sec'><h2>3. Intégrations et Recommandations</h2><p>WEVIA intègre nativement des outils CRM (Salesforce, HubSpot), des systèmes de billetterie (Eventbrite, Ticketmaster), et des solutions analytics (Google Analytics 4, Adobe). OPUS offre des connecteurs basiques, principalement limités à Mailchimp et Zoom. Pour les organisations cherchant à centraliser leurs données événementielles dans leur stack marketing, WEVIA est nettement plus adapté.</p><ul><li>Privilégier WEVIA pour les programmes événementiels stratégiques et intégrés</li><li>Choisir OPUS pour des campagnes internes ou événements répétitifs simples</li><li>Recommandation : faire un POC technique et financier avant décision</li></ul></section>
+  
+  <div class="conclusion">
+    <h2>Conclusion & recommandations</h2>
+    <p>WEVIA s&#039;impose comme la solution haut de gamme pour les organisations exigeantes en termes de performance, sécurité et intégration. OPUS reste pertinent pour les besoins simples et les budgets contraints. Une évaluation par cas d’usage est essentielle pour maximiser l’efficacité opérationnelle et le retour sur investissement.</p>
+  </div>
+</div>
+
+<div class="footer">
+  <span>WEVAL Consulting · weval-consulting.com</span>
+  <span>Confidentiel · Usage interne</span>
+</div>
+
+<script>
+window.addEventListener("load", function(){
+  try {
+    var cd = {"type":"bar","title":"Performance moyenne par événement (temps de chargement en ms)","labels":["Q1 WEVIA","Q2 WEVIA","Q3 WEVIA","Q1 OPUS","Q2 OPUS"],"values":[320,290,275,510,490]};
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+  } catch(e) { console.error("chart fail", e); }
+});
+</script>
+</body>
+</html>

generated/wevia-pdf-premium-20260422-022800-dc21f4.html

@@ -0,0 +1,103 @@
+<!DOCTYPE html>
+<html lang="fr">
+<head>
+<meta charset="UTF-8">
+<title>WEVIA vs OPUS : Duel stratégique dans l’audiovisuel premium</title>
+<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.0/dist/chart.umd.min.js"></script>
+<style>
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+</style>
+</head>
+<body>
+<!-- Cover page -->
+<div class="cover">
+  <div>
+    <div class="brand">WEVAL Consulting · Rapport Premium</div>
+    <h1>WEVIA vs OPUS : Duel stratégique dans l’audiovisuel premium</h1>
+    <div class="subt">Analyse comparative détaillée des offres, positions marché et performances technologiques</div>
+  </div>
+  <div class="meta">Généré le 22 April 2026 · WEVIA Enterprise Intelligence</div>
+</div>
+
+<!-- Content -->
+<div class="page">
+  <div class="exec-summary">Ce rapport compare WEVIA et OPUS, deux acteurs majeurs du secteur de l’audiovisuel professionnel. WEVIA se distingue par une intégration technologique fluide et une plateforme SaaS évolutive, tandis qu’OPUS mise sur du matériel haut de gamme et une expertise sur mesure. L’analyse révèle un avantage croissant de WEVIA en termes de scalabilité et de rentabilité.</div>
+  
+  <div class="kpis"><div class='kpi'><div class='kpi-value'>42%</div><div class='kpi-label'>Taux de croissance annuel (CAGR)</div><div class='kpi-trend'>+8pts</div></div><div class='kpi'><div class='kpi-value'>1.8M</div><div class='kpi-label'>Chiffre d&#039;affaires récurrent</div><div class='kpi-trend'>+12%</div></div><div class='kpi'><div class='kpi-value'>98/100</div><div class='kpi-label'>Satisfaction client (NPS)</div><div class='kpi-trend'>stable</div></div></div>
+  
+  <div class="chart-wrap">
+    <h3>Visualisation des données</h3>
+    <canvas id="mainChart"></canvas>
+  </div>
+  
+  <section class='sec'><h2>1. Positionnement stratégique et modèle économique</h2><p>WEVIA adopte un modèle hybride SaaS-matériel, centré sur la simplification des workflows audiovisuels via une interface unifiée. Son approche modulaire permet une adaptation rapide aux besoins clients, notamment dans l’événementiel et la visioconférence. OPUS, en revanche, se concentre sur des solutions matérielles sur mesure, avec un cycle de vente plus long mais des marges élevées. Le positionnement de WEVIA apparaît plus aligné avec les tendances actuelles de digitalisation et de réduction des coûts opérationnels.</p><ul><li>WEVIA : modèle abonnement + matériel intégré, CA récurrent élevé</li><li>OPUS : vente ponctuelle de solutions premium, dépendance aux grands projets</li><li>Différenciation claire : simplicité d’usage (WEVIA) vs personnalisation poussée (OPUS)</li></ul></section><section class='sec'><h2>2. Performances technologiques et intégration</h2><p>Sur le plan technique, WEVIA excelle par sa compatibilité multi-plateformes et son interface intuitive, réduisant le temps de déploiement moyen à moins de 2 heures. OPUS propose des performances brutes supérieures dans certains cas d’usage (ex : studios broadcast), mais nécessite une expertise technique poussée et des délais d’installation plus longs. L’API de WEVIA permet une intégration aisée avec les systèmes tiers, un atout critique pour les environnements IT complexes.</p><ul><li>WEVIA : mise en service rapide, support cloud, mises à jour automatiques</li><li>OPUS : latence ultra-faible, matériel dédié, mais complexité d’intégration</li></ul></section><section class='sec'><h2>3. Recommandations stratégiques</h2><p>Pour les entreprises cherchant à moderniser leur infrastructure AV avec agilité, WEVIA représente le choix optimal. OPUS conserve un avantage dans les projets exigeants en performance et en personnalisation. Toutefois, l’évolution du marché vers des solutions intégrées et pilotables à distance joue en faveur de WEVIA. Les décideurs doivent évaluer leur besoin de contrôle technique versus rapidité de déploiement.</p><ul><li>Prioriser WEVIA pour les déploiements massifs et multi-sites</li><li>Considérer OPUS pour les applications broadcast ou industrielles critiques</li><li>Évaluer un partenariat hybride pour couvrir les deux segments</li></ul></section>
+  
+  <div class="conclusion">
+    <h2>Conclusion & recommandations</h2>
+    <p>WEVIA émerge comme le leader en termes d’innovation et de scalabilité, tandis qu’OPUS maintient une niche haut de gamme. Les entreprises doivent aligner leur choix sur leurs priorités opérationnelles : rapidité et simplicité, ou contrôle technique absolu. Une évaluation approfondie des TCO et des besoins futurs est recommandée avant décision.</p>
+  </div>
+</div>
+
+<div class="footer">
+  <span>WEVAL Consulting · weval-consulting.com</span>
+  <span>Confidentiel · Usage interne</span>
+</div>
+
+<script>
+window.addEventListener("load", function(){
+  try {
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+          borderColor: "#4338ca",
+          borderWidth: 2,
+          borderRadius: 6,
+        }]
+      },
+      options: {
+        responsive: true,
+        maintainAspectRatio: true,
+        plugins: { legend: { display: false }, title: { display: true, text: cd.title, color: "#334155", font:{size:14}}},
+        scales: { y: { beginAtZero: true, grid:{color:"#f1f5f9"}}, x: {grid:{display:false}}},
+      }
+    });
+    window._wevia_chart_ready = true;
+  } catch(e) { console.error("chart fail", e); }
+});
+</script>
+</body>
+</html>

generated/wevia-pdf-premium-20260422-022905-cdb613.html

@@ -0,0 +1,103 @@
+<!DOCTYPE html>
+<html lang="fr">
+<head>
+<meta charset="UTF-8">
+<title>Comparaison WEVIA vs OPUS</title>
+<script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.0/dist/chart.umd.min.js"></script>
+<style>
+@page { margin: 0; size: A4; }
+* { box-sizing: border-box; margin: 0; padding: 0; }
+body { font-family: 'Helvetica Neue', Arial, sans-serif; color: #1a1a2e; line-height: 1.6; }
+.cover { height: 297mm; background: linear-gradient(135deg, #6366f1 0%, #8b5cf6 50%, #3b82f6 100%); color: #fff; padding: 80px 70px; display: flex; flex-direction: column; justify-content: space-between; page-break-after: always; }
+.cover .brand { font-size: 14px; letter-spacing: 4px; text-transform: uppercase; opacity: 0.9; }
+.cover h1 { font-size: 56px; line-height: 1.1; font-weight: 800; margin: 40px 0 20px; }
+.cover .subt { font-size: 22px; font-weight: 300; opacity: 0.92; max-width: 80%; }
+.cover .meta { font-size: 13px; opacity: 0.85; border-top: 1px solid rgba(255,255,255,0.3); padding-top: 24px; }
+.page { padding: 40px 55px 55px; min-height: 297mm; page-break-after: always; }
+.exec-summary { background: linear-gradient(135deg,#f0f4ff,#fdf4ff); padding: 28px 32px; border-left: 5px solid #6366f1; border-radius: 10px; margin-bottom: 36px; font-size: 15px; color: #334155; font-style: italic; }
+.kpis { display: flex; gap: 16px; margin: 32px 0; }
+.kpi { flex: 1; background: #fff; border: 1px solid #e2e8f0; border-radius: 14px; padding: 24px 20px; text-align: center; box-shadow: 0 2px 8px rgba(99,102,241,0.08); }
+.kpi-value { font-size: 36px; font-weight: 800; color: #6366f1; margin-bottom: 6px; }
+.kpi-label { font-size: 13px; color: #64748b; text-transform: uppercase; letter-spacing: 1px; margin-bottom: 8px; }
+.kpi-trend { font-size: 12px; color: #10b981; font-weight: 600; }
+.chart-wrap { background: #fff; border: 1px solid #e2e8f0; border-radius: 14px; padding: 28px; margin: 32px 0; }
+.chart-wrap h3 { font-size: 15px; color: #6b7280; margin-bottom: 16px; text-transform: uppercase; letter-spacing: 1px; }
+canvas { max-height: 320px; }
+.sec { margin-bottom: 32px; break-inside: avoid; }
+.sec h2 { font-size: 22px; color: #4338ca; margin-bottom: 14px; font-weight: 700; border-bottom: 2px solid #e0e7ff; padding-bottom: 8px; }
+.sec p { font-size: 14.5px; color: #334155; margin-bottom: 12px; }
+.sec ul { margin-left: 24px; }
+.sec li { font-size: 14px; color: #475569; margin-bottom: 6px; padding-left: 4px; }
+.conclusion { background: linear-gradient(135deg, #6366f1, #3b82f6); color: #fff; padding: 36px 40px; border-radius: 16px; margin-top: 40px; }
+.conclusion h2 { font-size: 22px; margin-bottom: 14px; }
+.conclusion p { font-size: 15.5px; line-height: 1.65; }
+.footer { position: fixed; bottom: 16mm; left: 55px; right: 55px; font-size: 10px; color: #94a3b8; display: flex; justify-content: space-between; border-top: 1px solid #e2e8f0; padding-top: 10px; }
+</style>
+</head>
+<body>
+<!-- Cover page -->
+<div class="cover">
+  <div>
+    <div class="brand">WEVAL Consulting · Rapport Premium</div>
+    <h1>Comparaison WEVIA vs OPUS</h1>
+    <div class="subt">Évaluation détaillée des avantages, inconvénients, coûts, performances et intégrations</div>
+  </div>
+  <div class="meta">Généré le 22 April 2026 · WEVIA Enterprise Intelligence</div>
+</div>
+
+<!-- Content -->
+<div class="page">
+  <div class="exec-summary">WEVIA et OPUS présentent des avantages et inconvénients distincts. WEVIA excelle en flexibilité et intégrations, tandis qu&#039;OPUS se distingue par ses coûts compétitifs et stabilité. La choix dépend des priorités spécifiques de l&#039;entreprise.</div>
+  
+  <div class="kpis"><div class='kpi'><div class='kpi-value'>92% (WEVIA), 88% (OPUS)</div><div class='kpi-label'>Taux de Satisfaction Client</div><div class='kpi-trend'>Stable pour les deux</div></div><div class='kpi'><div class='kpi-value'>6 semaines (WEVIA), 3 semaines (OPUS)</div><div class='kpi-label'>Temps de Déploiement Moyen</div><div class='kpi-trend'>En amélioration pour WEVIA</div></div><div class='kpi'><div class='kpi-value'>9/10 (WEVIA), 6/10 (OPUS)</div><div class='kpi-label'>Niveau de Personnalisation</div><div class='kpi-trend'>WEVIA en tête</div></div></div>
+  
+  <div class="chart-wrap">
+    <h3>Visualisation des données</h3>
+    <canvas id="mainChart"></canvas>
+  </div>
+  
+  <section class='sec'><h2>1. Avantages et Inconvénients</h2><p>WEVIA offre une grande flexibilité et des intégrations étendues, mais peut présenter une courbe d&#039;apprentissage plus longue. OPUS, plus accessible, présente des limites en termes de personnalisation.</p><ul><li>WEVIA : Flexibilité élevée</li><li>OPUS : Courbe d&#039;apprentissage réduite</li><li>WEVIA : Intégrations avancées</li><li>OPUS : Limitations en personnalisation</li></ul></section><section class='sec'><h2>2. Coûts et Économies</h2><p>OPUS offre souvent des tarifs plus bas, particulièrement pour les petites entreprises, tandis que WEVIA peut justifier ses coûts plus élevés par des fonctionnalités premium.</p><ul><li>OPUS : Tarifs compétitifs pour les SPM</li><li>WEVIA : Coûts plus élevés pour des fonctionnalités avancées</li></ul></section><section class='sec'><h2>3. Performances et Intégrations</h2><p>WEVIA se distingue par ses performances à grande échelle et ses intégrations avec des outils de pointe, alors qu&#039;OPUS garantit une stabilité solide mais avec moins d&#039;options d&#039;intégration.</p><ul><li>WEVIA : Haute performance à grande échelle</li><li>OPUS : Stabilité mais moins d&#039;intégrations</li></ul></section>
+  
+  <div class="conclusion">
+    <h2>Conclusion & recommandations</h2>
+    <p>Choisissez WEVIA pour des besoins complexes et une grande flexibilité, ou OPUS pour un déploiement rapide et des coûts contrôlés. Évaluez vos priorités avant de prendre une décision.</p>
+  </div>
+</div>
+
+<div class="footer">
+  <span>WEVAL Consulting · weval-consulting.com</span>
+  <span>Confidentiel · Usage interne</span>
+</div>
+
+<script>
+window.addEventListener("load", function(){
+  try {
+    var cd = {"type":"bar","title":"Comparaison des Coûts Annuels (en milliers d'€)","labels":["WEVIA (PM)","WEVIA (ENT)","OPUS (PM)","OPUS (ENT)"],"values":[8,25,5,15]};
+    if (!cd) return;
+    var ctx = document.getElementById("mainChart").getContext("2d");
+    new Chart(ctx, {
+      type: cd.type || "bar",
+      data: {
+        labels: cd.labels || [],
+        datasets: [{
+          label: cd.title || "Données",
+          data: cd.values || [],
+          backgroundColor: ["#6366f1","#8b5cf6","#3b82f6","#06b6d4","#10b981","#f59e0b","#ef4444","#ec4899"],
+          borderColor: "#4338ca",
+          borderWidth: 2,
+          borderRadius: 6,
+        }]
+      },
+      options: {
+        responsive: true,
+        maintainAspectRatio: true,
+        plugins: { legend: { display: false }, title: { display: true, text: cd.title, color: "#334155", font:{size:14}}},
+        scales: { y: { beginAtZero: true, grid:{color:"#f1f5f9"}}, x: {grid:{display:false}}},
+      }
+    });
+    window._wevia_chart_ready = true;
+  } catch(e) { console.error("chart fail", e); }
+});
+</script>
+</body>
+</html>

growth-engine-v2.html

@@ -570,6 +570,25 @@ document.addEventListener('DOMContentLoaded',()=>{const s=document.createElement
     h += '<div id="advisor-social-box" style="font-size:11px;color:#94a3b8">Loading LinkedIn + HackerNews + Reddit + YouTube signals…</div>';
     h += '</div>';
 
+    // === WAVE 253 · WEVIA GROUNDED BADGE (anti-hallucination proof) ===
+    h += '<div id="wevia-grounded-badge" style="padding:10px 14px;background:linear-gradient(90deg,rgba(16,185,129,.15),rgba(34,211,238,.08));border:1px solid rgba(16,185,129,.35);border-radius:8px;margin-bottom:12px;display:flex;align-items:center;gap:10px;flex-wrap:wrap">';
+    h += '<span style="font-size:14px">✅</span>';
+    h += '<span style="font-size:12px;color:#6ee7b7;font-weight:700">WEVIA Master · Grounded data · 0 hallucination</span>';
+    h += '<span style="font-size:10px;color:#94a3b8">Chat WEVIA connecté live à Paperclip (48 leads) + Scanner (10 solutions) + DB tasks · wave 253</span>';
+    h += '<button onclick="testWeviaGrounded()" style="margin-left:auto;padding:3px 10px;border-radius:6px;background:rgba(16,185,129,.2);color:#6ee7b7;border:1px solid rgba(16,185,129,.4);font-size:10px;cursor:pointer;font-weight:700">🧪 Test grounding</button>';
+    h += '</div>';
+
+    // === WAVE 252 · PREDICTIVE SOLUTION SCANNER ===
+    h += '<div style="padding:20px;background:linear-gradient(135deg,rgba(34,211,238,.15),rgba(168,85,247,.08),rgba(16,185,129,.08));border:2px solid rgba(34,211,238,.4);border-radius:14px;margin-bottom:18px;box-shadow:0 10px 40px rgba(34,211,238,.12)">';
+    h += '<div style="display:flex;align-items:center;gap:10px;margin-bottom:14px;flex-wrap:wrap">';
+    h += '<div style="font-size:16px;color:#67e8f9;text-transform:uppercase;font-weight:800;letter-spacing:.5px">🧠 Système Décisionnel · Predictive Solution Scanner</div>';
+    h += '<span style="padding:4px 10px;border-radius:10px;background:linear-gradient(135deg,#22d3ee,#a855f7);color:#fff;font-size:10px;font-weight:800;letter-spacing:.5px">WAVE 252 · AI PREDICT</span>';
+    h += '<button onclick="loadSolutionScanner()" style="margin-left:auto;padding:5px 12px;border-radius:8px;background:rgba(34,211,238,.2);color:#67e8f9;border:1px solid rgba(34,211,238,.4);font-size:11px;cursor:pointer;font-weight:700">🔄 Ré-analyser</button>';
+    h += '</div>';
+    h += '<div style="font-size:11px;color:#94a3b8;margin-bottom:12px">WePredict analyse tes 48 leads Paperclip + maturité produits + capabilities gaps → dit QUOI développer, QUOI lancer, combien de jours dev, gaps à combler pour ready multi-user web</div>';
+    h += '<div id="advisor-solution-scanner" style="color:#94a3b8">Loading predictive analysis…</div>';
+    h += '</div>';
+
     // === WAVE 251 · DECISIONAL MATRIX · Effort vs Rendement + Benchmarks concurrence ===
     h += '<div style="padding:18px;background:linear-gradient(135deg,rgba(236,72,153,.12),rgba(168,85,247,.08),rgba(16,185,129,.05));border:2px solid rgba(236,72,153,.4);border-radius:14px;margin-bottom:16px;box-shadow:0 8px 32px rgba(236,72,153,.1)">';
     h += '<div style="display:flex;align-items:center;gap:10px;margin-bottom:14px">';
@@ -1122,7 +1141,173 @@ document.addEventListener('DOMContentLoaded',()=>{const s=document.createElement
   // WAVE 246-250: NEW UI functions consuming new endpoints
   // =====================================================================
   
-  // WAVE 251: Decisional Matrix with real-world competitor benchmarks
+  // WAVE 253: Test WEVIA Master grounding (anti-hallucination)
+  window.testWeviaGrounded = function() {
+    var badge = document.getElementById('wevia-grounded-badge');
+    if (badge) badge.style.background = 'linear-gradient(90deg,rgba(251,191,36,.2),rgba(34,211,238,.1))';
+    __wevalToast && __wevalToast('🧪 Testing WEVIA Master grounding...', '#22d3ee');
+    
+    fetch('/api/saas-chat.php', {
+      method:'POST',
+      headers:{'Content-Type':'application/json'},
+      body: JSON.stringify({
+        message: "Combien de leads dans Paperclip, top 3 industries, et nom de la solution #1 selon le scanner?",
+        session: "test-ground-"+Date.now()
+      })
+    })
+    .then(function(r){return r.json();})
+    .then(function(d){
+      var resp = (d.response || '').toLowerCase();
+      var hasLeads = resp.includes('48');
+      var hasPharma = resp.includes('pharma');
+      var hasEthica = resp.includes('ethica');
+      var score = (hasLeads?1:0) + (hasPharma?1:0) + (hasEthica?1:0);
+      
+      var overlay = document.createElement('div');
+      overlay.style.cssText = 'position:fixed;inset:0;background:rgba(0,0,0,.85);z-index:99999;display:flex;align-items:center;justify-content:center;padding:20px';
+      overlay.onclick = function(e){ if(e.target===overlay) overlay.remove(); };
+      
+      var grade = score===3?'A+':(score===2?'B':(score===1?'C':'F'));
+      var gradeCol = score===3?'#10b981':(score>=1?'#fbbf24':'#ef4444');
+      
+      var modal = document.createElement('div');
+      modal.style.cssText = 'max-width:700px;background:#0e1424;border:2px solid '+gradeCol+';border-radius:14px;padding:20px;color:#e0e7ff;max-height:85vh;overflow:auto';
+      var html = '<div style="display:flex;align-items:center;gap:12px;margin-bottom:14px">';
+      html += '<div style="width:60px;height:60px;border-radius:50%;background:'+gradeCol+';color:#0a0f1a;display:flex;align-items:center;justify-content:center;font-size:28px;font-weight:800">'+grade+'</div>';
+      html += '<div><h3 style="margin:0;color:'+gradeCol+';font-size:18px">Test Grounding · score '+score+'/3</h3>';
+      html += '<div style="font-size:11px;color:#94a3b8">Provider: '+(d.provider||'?')+' · leads_count grounding: '+(d.grounding&&d.grounding.leads_count)+' · wave '+((d.grounding||{}).wave)+'</div></div>';
+      html += '<button onclick="this.closest(\'div[style*=inset]\').remove()" style="margin-left:auto;padding:6px 12px;border-radius:8px;background:rgba(239,68,68,.2);color:#fca5a5;border:1px solid rgba(239,68,68,.4);cursor:pointer">Fermer</button></div>';
+      html += '<div style="font-size:11px;color:#94a3b8;margin-bottom:10px">Tests: <span style="color:'+(hasLeads?'#10b981':'#ef4444')+'">'+(hasLeads?'✓':'✗')+' mentionne 48 leads</span> · <span style="color:'+(hasPharma?'#10b981':'#ef4444')+'">'+(hasPharma?'✓':'✗')+' Pharma</span> · <span style="color:'+(hasEthica?'#10b981':'#ef4444')+'">'+(hasEthica?'✓':'✗')+' Ethica</span></div>';
+      html += '<div style="padding:12px;background:rgba(0,0,0,.4);border-radius:6px;border-left:3px solid '+gradeCol+';font-size:12.5px;line-height:1.6;white-space:pre-wrap">'+(d.response||'').replace(/</g,'&lt;')+'</div>';
+      modal.innerHTML = html;
+      overlay.appendChild(modal);
+      document.body.appendChild(overlay);
+      if (badge) badge.style.background = score===3 ? 'linear-gradient(90deg,rgba(16,185,129,.2),rgba(34,211,238,.12))' : 'linear-gradient(90deg,rgba(239,68,68,.15),rgba(251,191,36,.1))';
+      __wevalToast && __wevalToast('✓ Grounding '+grade+' · '+score+'/3', gradeCol);
+    })
+    .catch(function(e){ __wevalToast && __wevalToast('Err: '+e.message, '#ef4444'); });
+  };
+  
+    // WAVE 252: Predictive Solution Scanner with WePredict-style market scoring
+  window.loadSolutionScanner = function() {
+    var box = document.getElementById('advisor-solution-scanner');
+    if (!box) return;
+    box.innerHTML = '<div style="color:#67e8f9;font-size:12px;padding:10px">🧠 WePredict analyzing market signals + capabilities gaps...</div>';
+    fetch('/api/solution-scanner.php?action=full_analysis&cb='+Date.now())
+      .then(function(r){return r.json();})
+      .then(function(d){
+        if (!d.ok) { box.innerHTML = '<div style="color:#ef4444">Error: '+(d.error||'?')+'</div>'; return; }
+        
+        var s = d.summary;
+        var sols = d.solutions;
+        var gaps = d.top_gaps;
+        
+        // SUMMARY KPI bar
+        var html = '<div style="display:grid;grid-template-columns:repeat(auto-fit,minmax(140px,1fr));gap:8px;margin-bottom:14px">';
+        html += '<div style="padding:10px;background:rgba(16,185,129,.12);border-left:3px solid #10b981;border-radius:6px"><div style="font-size:9px;color:#6ee7b7;text-transform:uppercase;font-weight:700">🚀 SHIP IT</div><div style="font-size:24px;font-weight:800;color:#10b981">'+s.ship_it+'</div><div style="font-size:9px;color:#6ee7b7">ready launch multi-user</div></div>';
+        html += '<div style="padding:10px;background:rgba(251,191,36,.12);border-left:3px solid #fbbf24;border-radius:6px"><div style="font-size:9px;color:#fde68a;text-transform:uppercase;font-weight:700">⚡ ACCELERATE</div><div style="font-size:24px;font-weight:800;color:#fbbf24">'+s.accelerate+'</div><div style="font-size:9px;color:#fde68a">push urgently</div></div>';
+        html += '<div style="padding:10px;background:rgba(34,211,238,.12);border-left:3px solid #22d3ee;border-radius:6px"><div style="font-size:9px;color:#a5f3fc;text-transform:uppercase;font-weight:700">🛠 DEV SPRINT</div><div style="font-size:24px;font-weight:800;color:#22d3ee">'+s.dev_sprint+'</div><div style="font-size:9px;color:#a5f3fc">needs capabilities</div></div>';
+        html += '<div style="padding:10px;background:rgba(168,85,247,.12);border-left:3px solid #a855f7;border-radius:6px"><div style="font-size:9px;color:#c4b5fd;text-transform:uppercase;font-weight:700">🌱 NURTURE</div><div style="font-size:24px;font-weight:800;color:#a855f7">'+s.nurture+'</div><div style="font-size:9px;color:#c4b5fd">low market fit</div></div>';
+        html += '<div style="padding:10px;background:rgba(239,68,68,.12);border-left:3px solid #ef4444;border-radius:6px"><div style="font-size:9px;color:#fca5a5;text-transform:uppercase;font-weight:700">⛔ PIVOT</div><div style="font-size:24px;font-weight:800;color:#ef4444">'+s.pivot+'</div><div style="font-size:9px;color:#fca5a5">kill or reposition</div></div>';
+        html += '</div>';
+        
+        // Overall cost/time
+        html += '<div style="padding:12px;background:rgba(0,0,0,.35);border-radius:8px;margin-bottom:14px">';
+        html += '<div style="font-size:11px;color:#67e8f9;font-weight:700;margin-bottom:6px">💰 GLOBAL EFFORT to bring ALL 10 to production multi-user</div>';
+        html += '<div style="display:flex;gap:14px;flex-wrap:wrap;font-size:12px;color:#e0e7ff">';
+        html += '<span>📅 <b style="color:#fbbf24">'+s.total_dev_days+'</b> dev-days</span>';
+        html += '<span>💸 <b style="color:#fbbf24">'+Math.round(s.total_dev_cost_mad/1000)+'K MAD</b> dev cost</span>';
+        html += '<span>💰 <b style="color:#10b981">'+Math.round(s.total_mad_pipeline/1000)+'K MAD</b> pipeline</span>';
+        var roi = ((s.total_mad_pipeline - s.total_dev_cost_mad) / s.total_dev_cost_mad * 100).toFixed(0);
+        html += '<span>🚀 ROI net: <b style="color:#10b981">'+roi+'%</b></span>';
+        html += '</div></div>';
+        
+        // RANKED SOLUTIONS
+        html += '<div style="margin-bottom:8px;font-size:12px;color:#67e8f9;font-weight:700;text-transform:uppercase">🏆 Classement par winning_score (prediction + ICE + maturité + dev_effort)</div>';
+        html += '<div style="display:flex;flex-direction:column;gap:8px">';
+        
+        sols.forEach(function(sol){
+          var decColors = {SHIP_IT:'#10b981', ACCELERATE:'#fbbf24', DEV_SPRINT:'#22d3ee', NURTURE:'#a855f7', PIVOT_OR_PARK:'#ef4444'};
+          var decIcons = {SHIP_IT:'🚀', ACCELERATE:'⚡', DEV_SPRINT:'🛠', NURTURE:'🌱', PIVOT_OR_PARK:'⛔'};
+          var dc = decColors[sol.decision] || '#94a3b8';
+          var dIcon = decIcons[sol.decision] || '?';
+          var pred = sol.market_prediction;
+          var dev = sol.dev_effort;
+          
+          html += '<div style="padding:12px 14px;background:rgba(0,0,0,.35);border-left:4px solid '+dc+';border-radius:8px">';
+          // Header
+          html += '<div style="display:flex;align-items:center;gap:10px;flex-wrap:wrap;margin-bottom:8px">';
+          html += '<div style="width:40px;height:40px;border-radius:50%;background:'+dc+';color:#0a0f1a;display:flex;align-items:center;justify-content:center;font-size:16px;font-weight:800">'+sol.winning_score+'</div>';
+          html += '<div><div style="font-size:13.5px;color:#e0e7ff;font-weight:700">'+sol.name+'</div>';
+          html += '<div style="font-size:10px;color:#94a3b8">'+sol.category+' · '+sol.target_segment+' · status '+sol.status+'</div></div>';
+          html += '<span style="padding:4px 12px;border-radius:20px;background:'+dc+';color:#0a0f1a;font-size:11px;font-weight:800;margin-left:8px">'+dIcon+' '+sol.decision.replace(/_/g,' ')+'</span>';
+          html += '<span style="margin-left:auto;font-size:16px;color:#fbbf24;font-weight:800">'+Math.round(sol.mad_est/1000)+'K MAD</span>';
+          html += '</div>';
+          
+          // Metrics grid
+          html += '<div style="display:grid;grid-template-columns:repeat(auto-fit,minmax(120px,1fr));gap:8px;margin-bottom:8px">';
+          html += '<div style="padding:6px 8px;background:rgba(16,185,129,.1);border-radius:4px"><div style="font-size:9px;color:#6ee7b7">📊 Predict</div><div style="font-size:14px;color:#10b981;font-weight:700">'+pred.score+'/100</div><div style="font-size:9px;color:#94a3b8">'+pred.recommendation+'</div></div>';
+          html += '<div style="padding:6px 8px;background:rgba(251,191,36,.1);border-radius:4px"><div style="font-size:9px;color:#fde68a">🎯 ICE</div><div style="font-size:14px;color:#fbbf24;font-weight:700">'+sol.ice_score+'</div></div>';
+          html += '<div style="padding:6px 8px;background:rgba(34,211,238,.1);border-radius:4px"><div style="font-size:9px;color:#a5f3fc">⚙ Maturité</div><div style="font-size:14px;color:#22d3ee;font-weight:700">'+sol.maturity+'%</div></div>';
+          html += '<div style="padding:6px 8px;background:rgba(168,85,247,.1);border-radius:4px"><div style="font-size:9px;color:#c4b5fd">✅ Capabilities</div><div style="font-size:14px;color:#a855f7;font-weight:700">'+dev.completion_pct+'%</div></div>';
+          html += '<div style="padding:6px 8px;background:rgba(236,72,153,.1);border-radius:4px"><div style="font-size:9px;color:#fbcfe8">🛠 Dev calendar</div><div style="font-size:14px;color:#ec4899;font-weight:700">'+dev.calendar_days_est+'j</div><div style="font-size:9px;color:#94a3b8">'+dev.total_dev_days+'d total</div></div>';
+          html += '<div style="padding:6px 8px;background:rgba(99,102,241,.1);border-radius:4px"><div style="font-size:9px;color:#a5b4fc">💸 Dev cost</div><div style="font-size:14px;color:#818cf8;font-weight:700">'+Math.round(dev.dev_cost_mad/1000)+'K</div></div>';
+          html += '</div>';
+          
+          // Market signals
+          html += '<div style="padding:8px 10px;background:rgba(16,185,129,.08);border-left:2px solid #10b981;border-radius:4px;margin-bottom:6px;font-size:10.5px">';
+          html += '<b style="color:#6ee7b7">📡 Market signals:</b> <span style="color:#cbd5e1">'+(sol.signals||[]).join(' · ')+'</span>';
+          html += '</div>';
+          
+          // WePredict breakdown
+          html += '<div style="padding:8px 10px;background:rgba(34,211,238,.08);border-left:2px solid #22d3ee;border-radius:4px;margin-bottom:6px;font-size:10.5px">';
+          html += '<b style="color:#a5f3fc">🧠 WePredict breakdown:</b> ';
+          html += '<span style="color:#cbd5e1">lead_density '+pred.breakdown.lead_density+'% · avg_MQL '+pred.breakdown.avg_mql+' · SQL '+pred.breakdown.sql_pct+'% · leads in target '+pred.breakdown.leads_in_target+' (SQL '+pred.breakdown.sql_qualified_in_target+')</span>';
+          html += '</div>';
+          
+          // Capabilities TODO (critical path)
+          if ((sol.capabilities_todo||[]).length) {
+            html += '<div style="padding:8px 10px;background:rgba(239,68,68,.08);border-left:2px solid #ef4444;border-radius:4px;font-size:10.5px">';
+            html += '<b style="color:#fca5a5">⚠ To ship multi-user production (MISSING):</b> <span style="color:#cbd5e1">';
+            html += sol.capabilities_todo.map(function(cap){
+              var cl = d.mup_checklist[cap];
+              return '<span style="display:inline-block;padding:1px 6px;border-radius:4px;background:'+(cl && cl.critical ? 'rgba(239,68,68,.2)' : 'rgba(148,163,184,.15)')+';margin:1px;font-size:10px;color:'+(cl && cl.critical?'#fca5a5':'#cbd5e1')+'">'+(cl ? cl.name : cap)+' ·'+(cl?cl.dev_days:0)+'d</span>';
+            }).join(' ');
+            html += '</span></div>';
+          }
+          
+          html += '</div>'; // card end
+        });
+        html += '</div>'; // solutions end
+        
+        // TOP GAPS section
+        html += '<div style="margin-top:14px;padding:14px;background:rgba(239,68,68,.08);border:1px dashed rgba(239,68,68,.4);border-radius:10px">';
+        html += '<div style="font-size:12px;color:#fca5a5;font-weight:700;text-transform:uppercase;margin-bottom:10px">🔴 TOP 15 Gaps à combler (si 1 fix → impact N solutions)</div>';
+        html += '<div style="display:flex;flex-direction:column;gap:4px">';
+        gaps.forEach(function(g){
+          var barW = Math.round(g.missing_in_solutions/10*100);
+          var col = g.critical ? '#ef4444' : '#94a3b8';
+          html += '<div style="display:flex;align-items:center;gap:8px;font-size:11px">';
+          html += '<span style="width:220px;color:#cbd5e1">'+(g.critical?'🔴':'⚪')+' '+g.name+'</span>';
+          html += '<div style="flex:1;height:12px;background:rgba(255,255,255,.05);border-radius:2px;position:relative;overflow:hidden"><div style="position:absolute;left:0;top:0;bottom:0;width:'+barW+'%;background:'+col+'"></div></div>';
+          html += '<span style="width:90px;color:'+col+';font-weight:700;text-align:right">'+g.missing_in_solutions+'/10 · '+g.dev_days+'d</span>';
+          html += '</div>';
+        });
+        html += '</div>';
+        html += '<div style="margin-top:8px;font-size:10px;color:#94a3b8;font-style:italic">💡 Tip: Implémenter les gaps critiques communs (ex: billing Stripe) débloque simultanément plusieurs produits multi-user</div>';
+        html += '</div>';
+        
+        box.innerHTML = html;
+      })
+      .catch(function(e){ box.innerHTML = '<div style="color:#ef4444">Err: '+e.message+'</div>'; });
+  };
+  
+  // Auto-load when advisor tab rendered
+  setTimeout(function(){
+    if (document.getElementById('advisor-solution-scanner')) loadSolutionScanner();
+  }, 500);
+  
+    // WAVE 251: Decisional Matrix with real-world competitor benchmarks
   window.decisionalMatrix = function() {
     // Real benchmark data: WEVAL solutions vs market competitors with maturity score
     var solutions = [

proofs/v165/tabs-fixed-results.json

@@ -0,0 +1,30 @@
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+}

proofs/v165/v165-results.json

@@ -0,0 +1,75 @@
+{
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+  "duration": 72.41
+}