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Notes on correctness infrastructure, expert judgment, and the systems required to build AI teams can trust.

Latest themes

Notes for teams engineering behavior, evidence, and expert judgment.

Our writing connects practical development decisions to the deeper problem of keeping human intent intact as AI systems become more open-ended.

Correctness infrastructure

Generic judges are only a starting point

Why enterprise AI needs correctness specifications grounded in internal expertise rather than generic model preferences.

Research direction

Coverage engineering

Coverage is a design problem

A deliberate approach to finding the behavioral dimensions, difficult combinations and edge cases that matter.

Explore coverage

Expert workflows

Experts should decide, not annotate

Designing agent-assisted workflows that reserve scarce specialist time for judgment that materially changes the benchmark.

Explore elicitation