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Working notes for teams that buy or run AI evaluation: what each method measures, how to set it up, and what to ask a vendor. Each post ends with its sources.

  • How to build an eval set from your own logs

    How to build an eval set from your own production logs: what to strip out first, how to sample, writing references and rubrics, and keeping the set fresh.

    Building. Updated November 7, 2026; roughly 4 minutes

  • Human preference evals or automated graders?

    Human preference evals or automated graders: what each measures, what each costs from published prices, where model graders go wrong, how to calibrate.

    Methods. Updated November 7, 2026; roughly 4 minutes

  • Red-teaming vs benchmarking: what are you buying?

    Red-teaming vs benchmarking for AI systems: what each one measures, what the deliverable looks like, when to buy which, and how they feed each other.

    Methods. Updated November 7, 2026; roughly 4 minutes

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Company ZIP first, then a contact, then the evaluation itself. A few lines tell us which vendors are worth naming.

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Please do not paste prompts, logs, model outputs or any other data here. Describe the project in words; data only ever moves under a contract you sign with the vendor.

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