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AI Doctor — Brain & Discipline (text) v1

First-party AI Doctor checkup: text-only reasoning, instruction-following, and math challenges. Prompts are not stored statically — every challenge generates a fresh, randomly-seeded prompt (and expected answer) per run, via a native handler or, for the math ladder (simple sums up to a 4×4 determinant and a long bit-mixing computation), an authored generate-script — so the same challenge never repeats verbatim across runs.

The brain-and-discipline axis of the AI Doctor 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 AI Doctor checkup →

time budget · 15 min

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