A practical RAG evaluation checklist for AI SaaS builders to test retrieval quality, grounded answers, citations, regressions, and production failure replay.
RAG Evaluation Checklist for AI SaaS: Catch Bad Answers Before Users Do
A practical RAG evaluation checklist for AI SaaS builders to test retrieval quality, grounded answers, citations, regressions, and production failure replay.
Migrate an OpenRouter integration safely with a requirements matrix, five-step canary, Python test, streaming and usage checks, and rollback rules.
Start DeepSeek Harness safely, compare Standard, PTC, Minimal, and Creation modes, inspect Trajectory, and review plugin permissions before real work.
Run parallel Claude Code sessions with Git worktrees, focused checks, and reproducible handoffs while keeping overlapping files and secrets under