Update README.md

README.md

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-    <img src="./assets/logo.png" alt="Logo" width="42" height="42" style="border-radius:8px">
+    <img src="./assets/logo.png" alt="Foaster.ai" width="42" height="42" style="border-radius:8px">
     <div>
-      <h1 style="margin:0;font-size:26px">[Nom de l’organisation]</h1>
-      <p style="margin:4px 0 0;color:#64748b">[Tagline courte : ce que vous apportez en 1 ligne]</p>
+      <h1 style="margin:0;font-size:26px">Foaster.ai</h1>
+      <p style="margin:4px 0 0;color:#64748b">Reshaping businesses for the agentic era.</p>
     </div>
   </header>
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+  <p><strong>Foaster.ai</strong> is a French start-up building agentic systems and running research to understand how LLMs behave in social settings. At <em>Foaster Labs</em>, our first project—<strong>Werewolf Benchmark</strong>—pits leading models against each other in live social-deduction games to measure leadership, bluffing, and resistance to manipulation.</p>
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+  <p>We ran <strong>210 full games</strong> with <strong>7 top models</strong> to produce a <em>role-conditioned</em> Elo: wolves ≈ manipulation power, villagers ≈ manipulation resistance. GPT-5 currently sits alone at the top—contenders welcome. 🐺</p>
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+  <div style="margin:22px 0 8px;font-weight:700;">Role-conditioned Elo (quick view)</div>
+  <p style="margin:0 0 12px;color:#64748b">Overall Elo plus per-role splits (ELO-W = wolf, ELO-V = villager). For the full interactive, <a href="./index.html">open the Space</a>.</p>
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+  <div style="border:1px solid #e5e7eb;border-radius:12px;overflow:hidden">
+    <table style="width:100%;border-collapse:collapse;font-size:14px">
+      <thead style="background:#f9fafb;color:#475569;text-transform:uppercase;font-size:12px;letter-spacing:.3px">
+        <tr>
+          <th style="padding:10px;text-align:left">Rank</th>
+          <th style="padding:10px;text-align:left">Model</th>
+          <th style="padding:10px;text-align:center">ELO</th>
+          <th style="padding:10px;text-align:center">ELO-W</th>
+          <th style="padding:10px;text-align:center">ELO-V</th>
+          <th style="padding:10px;text-align:center">Win rate</th>
+          <th style="padding:10px;text-align:center">Matches</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr><td style="padding:10px">🥇</td><td style="padding:10px">GPT-5 (OpenAI)</td><td style="padding:10px;text-align:center">1492</td><td style="padding:10px;text-align:center">1508</td><td style="padding:10px;text-align:center">1476</td><td style="padding:10px;text-align:center">96.7%</td><td style="padding:10px;text-align:center">60</td></tr>
+        <tr><td style="padding:10px">🥈</td><td style="padding:10px">Gemini 2.5 Pro (Google)</td><td style="padding:10px;text-align:center">1261</td><td style="padding:10px;text-align:center">1163</td><td style="padding:10px;text-align:center">1360</td><td style="padding:10px;text-align:center">63.3%</td><td style="padding:10px;text-align:center">60</td></tr>
+        <tr><td style="padding:10px">🥉</td><td style="padding:10px">Gemini 2.5 Flash (Google)</td><td style="padding:10px;text-align:center">1188</td><td style="padding:10px;text-align:center">1103</td><td style="padding:10px;text-align:center">1273</td><td style="padding:10px;text-align:center">51.7%</td><td style="padding:10px;text-align:center">60</td></tr>
+        <tr><td style="padding:10px">#4</td><td style="padding:10px">Qwen3-235B-Instruct (Alibaba)</td><td style="padding:10px;text-align:center">1176</td><td style="padding:10px;text-align:center">1077</td><td style="padding:10px;text-align:center">1274</td><td style="padding:10px;text-align:center">45.0%</td><td style="padding:10px;text-align:center">60</td></tr>
+        <tr><td style="padding:10px">#5</td><td style="padding:10px">GPT-5-mini (OpenAI)</td><td style="padding:10px;text-align:center">1173</td><td style="padding:10px;text-align:center">1107</td><td style="padding:10px;text-align:center">1239</td><td style="padding:10px;text-align:center">41.7%</td><td style="padding:10px;text-align:center">60</td></tr>
+        <tr><td style="padding:10px">#6</td><td style="padding:10px">Kimi-K2-Instruct (Moonshot AI)</td><td style="padding:10px;text-align:center">1130</td><td style="padding:10px;text-align:center">1168</td><td style="padding:10px;text-align:center">1091</td><td style="padding:10px;text-align:center">36.7%</td><td style="padding:10px;text-align:center">60</td></tr>
+        <tr><td style="padding:10px">#7</td><td style="padding:10px">GPT-OSS-120B (OpenAI)</td><td style="padding:10px;text-align:center">980</td><td style="padding:10px;text-align:center">931</td><td style="padding:10px;text-align:center">1030</td><td style="padding:10px;text-align:center">15.0%</td><td style="padding:10px;text-align:center">60</td></tr>
+      </tbody>
+    </table>
+  </div>
+
+</div>
+