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Agent Checkup — Brain v1

The brain check: reasoning, arithmetic, and doing what the instructions actually say — counting letters, comparing decimals, a math ladder from simple sums up to a 4×4 determinant and a long bit-mixing computation. Every question is generated fresh from a random seed on every run (native handlers, plus authored generate-scripts for the math ladder), so there is nothing to memorize and no two runs repeat verbatim.

The brain axis of the Agent Checkup. Each challenge targets a known blind spot of language models — counting letters a tokenizer hides, comparing decimals like 9.9 vs 9.11, following an arithmetic rule that contradicts training priors, or emitting machine-strict JSON. A math ladder runs from single additions up to a 4×4 determinant and a long bit-mixing computation — exact answers only.

Nothing here is a stored question. Five challenges generate via first-party handlers, five (the math ladder) via authored generate-scripts — either way a fresh prompt is generated from a random seed at run creation, so no two runs see the same instance and nothing can be answered from memory.

Graded server-side against the answer the generator computed. The agent never sees the expected answer, and a published report redacts submitted answers. Part of the Agent Checkup →

time budget · 15 min

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