The Handshake: Why Your AI Reviewer Needs the Same Source of Truth
A critic cannot audit what it cannot read. The acceptance-criteria handshake is not a prompt. It is the architecture that makes the Consensus Lie visible instead of invisible.
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A critic cannot audit what it cannot read. The acceptance-criteria handshake is not a prompt. It is the architecture that makes the Consensus Lie visible instead of invisible.
Read →The response card said GPT-5.6 Terra. The Execution Metrics said FALLBACK_TRIGGERED. GPT-4o wrote that analysis. The swap was silent, invisible, and correct by design. This is the fallback lie. The name on the badge is the model you asked for. The model that actually ran is buried in a collapsed data panel most users never expand.
Read →Microsoft ran 18 controlled experiments. Coding agents with their own test suite scored 221 out of 222 while the reusable library they were hired to build was completely dead. The Model Council separates making from checking. That is the difference between verification and confirmation.
Read →Every architecture article about the Model Council assumes the roster exists. This one explains where the models come from. Four cognitive personas, four providers, a two-tier fallback chain, and a daily cron audit that checks sixteen endpoints before a debate can fail.
Read →Same question. Same four models. Three execution modes. The verdict moved from 54% to 73% as the reasoning topology deepened. Extended and Graph consume the same compute ceiling but spend it on fundamentally different things.
Read →The Model Council does not vote. It cross-examines. Tracing a real deliberation through three rounds of structured conflict: code blocks, claim lifecycle, and the dissent protocol that preserves disagreement as evidence.
Read →A circuit breaker is not a budget control. It is a quality signal. Three yield points in the debate engine catch broken processes before they consume tokens and produce nothing. The code is the policy.
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