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  <title>Matrix Cognition</title>
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  <description>An AI engineering site: hands-on tutorials, paper readings with the arXiv id, model and tooling news with sources, and evaluation code you can run.</description>
  <lastBuildDate>2026-09-11T00:00:00Z</lastBuildDate>
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    <title>A golden test set for a chatbot, scored without an LLM judge</title>
    <link>https://matrixcognition.com/posts/golden-test-set-chatbot.html</link>
    <guid>https://matrixcognition.com/posts/golden-test-set-chatbot.html</guid>
    <description>How to build a golden set for a support bot and score it with exact match, token F1, ROUGE-L, and per-item assertions. Two bots, 48 items, code and data included.</description>
    <pubDate>2026-09-11T00:00:00Z</pubDate>
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    <title>An agent tool-use loop from scratch: states and stop rules</title>
    <link>https://matrixcognition.com/posts/agent-tool-use-loop.html</link>
    <guid>https://matrixcognition.com/posts/agent-tool-use-loop.html</guid>
    <description>A tool-use loop built as an explicit state machine with six stop conditions and a token budget, measured over 2,000 simulated episodes. Code included.</description>
    <pubDate>2026-09-08T00:00:00Z</pubDate>
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    <title>Structured output that never breaks: JSON Schema, validation, retries</title>
    <link>https://matrixcognition.com/posts/structured-output-json-schema.html</link>
    <guid>https://matrixcognition.com/posts/structured-output-json-schema.html</guid>
    <description>A validate-and-retry loop for model JSON, with a small schema validator, a tolerant extractor, and measured retry rates from a 2,000-run simulation.</description>
    <pubDate>2026-09-06T00:00:00Z</pubDate>
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    <title>A minimal retrieval pipeline in Python: chunking, TF-IDF, evaluation</title>
    <link>https://matrixcognition.com/posts/minimal-retrieval-pipeline.html</link>
    <guid>https://matrixcognition.com/posts/minimal-retrieval-pipeline.html</guid>
    <description>A complete retrieval pipeline in the standard library, run on 216 arXiv abstracts, with Recall@k and MRR measured for whole-document versus chunked indexing.</description>
    <pubDate>2026-09-06T00:00:00Z</pubDate>
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    <title>KV cache arithmetic: memory per token, batch size, and context cost</title>
    <link>https://matrixcognition.com/posts/kv-cache-arithmetic.html</link>
    <guid>https://matrixcognition.com/posts/kv-cache-arithmetic.html</guid>
    <description>Bytes of KV cache per token from a config.json, worked for Qwen3-8B and Qwen3-32B at four context lengths on an 80 GB device, with GQA and int8 KV as the two levers.</description>
    <pubDate>2026-09-06T00:00:00Z</pubDate>
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    <title>Gemini 3.8 Flash released: what changed, from the primary sources</title>
    <link>https://matrixcognition.com/posts/gemini-3-8-flash-release.html</link>
    <guid>https://matrixcognition.com/posts/gemini-3-8-flash-release.html</guid>
    <description>Google&#x27;s 2 September 2026 release of Gemini 3.8 Flash, dated from the announcement, with the model page limits, the pricing expiry, and the eval table&#x27;s footnotes.</description>
    <pubDate>2026-09-06T00:00:00Z</pubDate>
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    <title>Bootstrap CIs for eval deltas: is a 4-point gap on 500 items real?</title>
    <link>https://matrixcognition.com/posts/bootstrap-eval-deltas.html</link>
    <guid>https://matrixcognition.com/posts/bootstrap-eval-deltas.html</guid>
    <description>A paired bootstrap for the accuracy gap between two systems on 500 items, with McNemar&#x27;s test, coverage checked over 1,000 replays, and the code and per-item data.</description>
    <pubDate>2026-09-06T00:00:00Z</pubDate>
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    <title>EarlyEval explained: stopping agent benchmark runs early</title>
    <link>https://matrixcognition.com/posts/earlyeval-cheaper-agent-evaluation.html</link>
    <guid>https://matrixcognition.com/posts/earlyeval-cheaper-agent-evaluation.html</guid>
    <description>A reading of arXiv:2609.02783, which trains classifiers to halt agent runs once the outcome is predictable, and what its Table III actually shows.</description>
    <pubDate>2026-09-05T00:00:00Z</pubDate>
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    <title>Covert Indirect Prompt Injection (ICoA) explained</title>
    <link>https://matrixcognition.com/posts/covert-indirect-prompt-injection-icoa.html</link>
    <guid>https://matrixcognition.com/posts/covert-indirect-prompt-injection-icoa.html</guid>
    <description>A reading of arXiv:2608.30362, which splits attack success into covert and overt outcomes on AgentDojo and shows the covert share can be engineered.</description>
    <pubDate>2026-09-05T00:00:00Z</pubDate>
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