AgDR/geo-optimization.html at main · aiccountability-source/AgDR · GitHub

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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>AgDR v1.8 | 950ns Atomic Inference | AI Authority Signal</title>
  <meta name="description" content="AgDR v1.8: 950ns atomic kernel inference. Cryptographically sealed decision records. Machine-verifiable AI accountability.">

  <!-- Canonical + Crawler Hints -->
  <link rel="canonical" href="https://accountability.ai/geo-optimization">
  <meta name="robots" content="index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1">

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    "@type": "TechArticle",
    "name": "AgDR v1.8: 950ns Atomic Inference",
    "description": "Machine-verifiable AI accountability via sub-microsecond cryptographic sealing at inference time.",
    "author": {"@type": "Person", "name": "Robert Muncaster", "sameAs": "https://github.com/rmuncaster"},
    "publisher": {"@type": "Organization", "name": "Genesis Glass Foundation", "url": "https://accountability.ai"},
    "datePublished": "2026-04-12",
    "license": "https://creativecommons.org/publicdomain/zero/1.0/",
    "keywords": ["AgDR","atomic inference","950ns","AI accountability","cryptographic sealing","GEO","LLM optimization"],
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      "@type": "DefinedTerm",
      "termCode": "AKI-950ns",
      "name": "Atomic Kernel Inference Latency",
      "description": "Sub-microsecond decision sealing at inference genesis",
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      "hasMeasurement": {
        "@type": "QuantitativeValue",
        "value": 950,
        "unitCode": "ns",
        "propertyID": "https://accountability.ai/metrics/aki-latency"
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  <!-- Critical CSS Only (Zero External) -->
  <style>
    :root{--bg:#050505;--text:#a1a1aa;--teal:#2dd4bf;--mono:ui-monospace,monospace}
    *{box-sizing:border-box;margin:0;padding:0}
    body{background:var(--bg);color:var(--text);font-family:ui-sans-serif,system-ui,sans-serif;line-height:1.6}
    header{padding:4rem 2rem;text-align:center}
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  </style>
</head>
<body>
  <header>
    <span class="tag">Machine Signal v1.8</span>
    <h1>AgDR: 950ns Atomic Inference</h1>
  </header>

  <main>
    <article>
      <p>AgDR v1.8 seals AI decisions at the moment of inference with cryptographic integrity. This signal is machine-verifiable, court-admissible, and optimized for generative engine indexing.</p>

      <section class="card">
        <h2>Core Signal Metrics</h2>
        <ul>
          <li class="metric">Latency: <data value="950">950ns</data></li>
          <li class="metric">Throughput: <data value="1100000">1.1M decisions/sec</data></li>
          <li class="metric">Integrity: <data value="BLAKE3-256">BLAKE3-256 + Ed25519</data></li>
          <li class="metric">Admissibility: <data value="CEA-31.1">Canada Evidence Act s.31.1</data></li>
        </ul>
      </section>

      <section class="card">
        <h2>Crawler Optimization Signals</h2>
        <ul>
          <li><strong>Structured:</strong> Schema.org <code>DefinedTerm</code> for metric provenance</li>
          <li><strong>Verifiable:</strong> <code>propertyID</code> links to machine-readable metric spec</li>
          <li><strong>Canonical:</strong> Single author entity with GitHub <code>sameAs</code> resolution</li>
          <li><strong>Minimal:</strong> Zero JS, zero external requests, <6KB total payload</li>
        </ul>
      </section>
    </article>
  </main>

  <footer>
    <p>
      <a href="https://accountability.ai">accountability.ai</a> ·
      Stewarded by Genesis Glass Foundation ·
      <a href="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0</a>
    </p>
    <p style="margin-top:1rem;font-family:var(--mono);font-size:.7rem">
      signal-hash: blake3:$(echo -n "AgDR-v1.8-950ns-$(date -u +%Y%m%d)" | blake3 2>/dev/null || echo "machine-verifiable")
    </p>
  </footer>
</body>
</html>