Product & AI
9 min readPrecision BuildEvaluating AI Features Like Grown-Ups
A/B tests, offline evals, and human-in-the-loop QA that actually works.
Mature teams split evaluation into offline and online. Offline suites track accuracy, latency, and cost on curated datasets; online A/Bs measure user value and retention. Human review gates sensitive flows and feeds high-quality labels back into the dataset.
Guardrails include deterministic fallbacks, rate limits, and explicit user affordances to report bad results. Evaluation is continuous: a model may pass today and regress tomorrow as distributions drift. Treat evals as living contracts, not one-off reports.
Guardrails include deterministic fallbacks, rate limits, and explicit user affordances to report bad results. Evaluation is continuous: a model may pass today and regress tomorrow as distributions drift. Treat evals as living contracts, not one-off reports.
evaluation
ab-testing
hitl
offline-metrics
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