Reference
Quick lookups for when you're building: definitions, templates and one-page summaries of the patterns in the wiki.
- Glossary Plain-language definitions of the terms used across the AI Product Engineer Wiki, from acceptance rate to zero-shot prompting, with links to each topic.
- Metric definitions Exact definitions and formulas for the metrics used in this wiki, including task success, acceptance, edit rate, retry rate and cost per success.
- One-page AI feature spec template A copyable one-page spec template for AI features, with prompts for each section and a filled-in example to follow.
- Model selection cheat sheet Current Claude models side by side, with prices, limits and which kinds of feature each one suits, generated from the wiki's model config.
- AI UX patterns cheat sheet A one-page summary of AI UX patterns, covering streaming, editable output, citations, uncertainty, approvals and the states every AI feature needs.
- Eval types cheat sheet Every kind of eval in one place, from code checks and rubrics to human grading, LLM-as-judge and online metrics, with when to use each.
- AI feature launch checklist A pre-launch checklist for AI features covering evals, UX states, rollout, monitoring, cost, privacy and safety, with links to each topic.