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+<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1">
+<title>TurboQuant WASM Inference</title>
+<style>
+*{box-sizing:border-box}body{font-family:monospace;max-width:800px;margin:0 auto;padding:20px;background:#0d1117;color:#c9d1d9}
+h1{color:#58a6ff}h2{color:#8b949e;border-bottom:1px solid #21262d;padding-bottom:8px}
+.card{background:#161b22;border:1px solid #30363d;border-radius:6px;padding:16px;margin:12px 0}
+button{background:#238636;color:#fff;border:none;padding:8px 16px;border-radius:6px;cursor:pointer;font-family:monospace;margin:4px}
+button:hover{background:#2ea043}button:disabled{background:#21262d;color:#484f58;cursor:not-allowed}
+input,textarea,select{background:#0d1117;color:#c9d1d9;border:1px solid #30363d;border-radius:6px;padding:8px;font-family:monospace;width:100%}
+#output{min-height:100px;white-space:pre-wrap}#metrics{display:grid;grid-template-columns:1fr 1fr 1fr;gap:8px}
+.metric{text-align:center}.metric .val{font-size:24px;color:#58a6ff}.metric .label{font-size:12px;color:#8b949e}
+.status{padding:4px 8px;border-radius:4px;font-size:12px}.ok{background:#238636}.err{background:#da3633}.pending{background:#d29922}
+</style>
+</head>
+<body>
+<h1>TurboQuant WASM Inference</h1>
+<p>Run quantized models directly in the browser via WebAssembly. No server. No data leaves your machine.</p>
+
+<div class="card">
+<h2>1. Initialize</h2>
+<button id="btnInit" onclick="initModule()">Initialize WASM Module</button>
+<span id="initStatus" class="status">not started</span>
+</div>
+
+<div class="card">
+<h2>2. Load Model</h2>
+<input type="file" id="modelFile" accept=".bin,.gguf,.tq" disabled>
+<button id="btnLoad" onclick="loadModel()" disabled>Load Model</button>
+<span id="loadStatus" class="status">waiting</span>
+</div>
+
+<div class="card">
+<h2>3. Inference</h2>
+<textarea id="prompt" rows="3" placeholder="Enter prompt..." disabled>Hello, I am</textarea>
+<div style="display:flex;gap:8px;margin:8px 0">
+<select id="temp" disabled><option value="0">Greedy (temp=0)</option><option value="0.2">Focused (0.2)</option><option value="0.7" selected>Balanced (0.7)</option><option value="1.0">Creative (1.0)</option></select>
+<input type="number" id="maxTok" value="64" min="1" max="512" style="width:80px" disabled>
+<button id="btnGen" onclick="doGenerate()" disabled>Generate</button>
+<button id="btnBench" onclick="doBenchmark()" disabled>Benchmark</button>
+</div>
+<div id="output" class="card"></div>
+</div>
+
+<div class="card">
+<h2>Metrics</h2>
+<div id="metrics"><div class="metric"><div class="val" id="mLoad">--</div><div class="label">Load (ms)</div></div><div class="metric"><div class="val" id="mLat">--</div><div class="label">Latency (tok/s)</div></div><div class="metric"><div class="val" id="mMem">--</div><div class="label">Memory (MB)</div></div></div>
+</div>
+
+<div class="card">
+<h2>Viability Assessment</h2>
+<pre id="assessment">
+Waiting for benchmark results...
+
+Target models:
+  Falcon-H1-Tiny-90M: ~45MB quantized (Q2_K)
+  Bonsai-1.7B: ~400MB quantized (Q4_0)
+
+Browser limits:
+  Chrome: 4GB WASM memory
+  Firefox: 2GB WASM memory
+  Safari: 1GB WASM memory (may fail on 1.7B)
+</pre>
+</div>
+
+<script>
+let worker = null;
+let loadStart = 0;
+
+function initModule() {
+  document.getElementById('initStatus').className = 'status pending';
+  document.getElementById('initStatus').textContent = 'loading...';
+  worker = new Worker('inference-worker.js');
+  worker.onmessage = handleMsg;
+  worker.postMessage({cmd: 'init'});
+}
+
+function handleMsg(e) {
+  const m = e.data;
+  if (m.event === 'ready') {
+    document.getElementById('initStatus').className = 'status ok';
+    document.getElementById('initStatus').textContent = 'ready';
+    document.getElementById('modelFile').disabled = false;
+    document.getElementById('btnLoad').disabled = false;
+  }
+  else if (m.event === 'loaded') {
+    const ms = m.ms.toFixed(0);
+    document.getElementById('loadStatus').className = m.ok ? 'status ok' : 'status err';
+    document.getElementById('loadStatus').textContent = m.ok ? 'loaded (' + ms + 'ms)' : 'FAILED';
+    document.getElementById('mLoad').textContent = ms;
+    if (m.ok) enableInference();
+  }
+  else if (m.event === 'generated') {
+    document.getElementById('output').textContent += m.text;
+    document.getElementById('mLat').textContent = m.tokensPerSec;
+    if (performance.memory) {
+      document.getElementById('mMem').textContent = (performance.memory.usedJSHeapSize / 1e6).toFixed(0);
+    }
+  }
+  else if (m.event === 'benchmark') {
+    const ms = m.msPerToken.toFixed(1);
+    const tps = (1000 / m.msPerToken).toFixed(1);
+    document.getElementById('assessment').textContent =
+      'BENCHMARK RESULTS (' + m.runs + ' runs)\n' +
+      '  Latency: ' + ms + ' ms/token (' + tps + ' tok/s)\n' +
+      '  Load time: ' + document.getElementById('mLoad').textContent + ' ms\n' +
+      '  Memory: ' + document.getElementById('mMem').textContent + ' MB\n\n' +
+      'VIABILITY: ' + (m.msPerToken < 100 ? 'VIABLE' : 'BORDERLINE — consider smaller model') + '\n' +
+      (m.msPerToken < 100 ? 'Ready for the-door service worker integration.' : 'Try Falcon-H1-Tiny-90M for faster inference.');
+  }
+  else if (m.event === 'error') {
+    document.getElementById('output').textContent = 'ERROR: ' + m.msg;
+  }
+}
+
+function loadModel() {
+  const f = document.getElementById('modelFile').files[0];
+  if (!f) return;
+  document.getElementById('loadStatus').className = 'status pending';
+  document.getElementById('loadStatus').textContent = 'reading ' + (f.size/1e6).toFixed(1) + 'MB...';
+  const r = new FileReader();
+  r.onload = () => worker.postMessage({cmd: 'load', data: r.result}, [r.result]);
+  r.readAsArrayBuffer(f);
+}
+
+function enableInference() {
+  ['prompt','temp','maxTok','btnGen','btnBench'].forEach(id => document.getElementById(id).disabled = false);
+}
+
+function doGenerate() {
+  document.getElementById('output').textContent = '';
+  worker.postMessage({cmd: 'generate', prompt: document.getElementById('prompt').value,
+    maxTokens: parseInt(document.getElementById('maxTok').value),
+    temperature: parseFloat(document.getElementById('temp').value)});
+}
+
+function doBenchmark() {
+  worker.postMessage({cmd: 'benchmark', runs: 100});
+}
+</script>
+</body>
+</html>
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