Product Talk · Teresa Torres
articleplaybookAI Evals: A Hands-On Guide for Product Teams
2 September 2026Product
Source excerpt
About Product TalkAI evals tell you whether your AI product or workflow is any good. A hands-on guide to error analysis, the four types of evals, and your first experiment.
This is a limited feed-provided excerpt, not the full original work.
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What a founder can learn
Founder takeaway
Treat AI evaluation as a core product practice: define what “good” means, analyze recurring errors, and run a small experiment before scaling an AI feature or workflow.
Why it matters
AI outputs can appear convincing without reliably creating customer value. Systematic evals give product teams evidence for prioritizing improvements and deciding whether a feature is ready for broader use.
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Put it to work
Choose one important AI workflow this week. What outcome should it produce, which failures matter most, and what small set of real examples can you review to establish a baseline and test one improvement?
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