A quick explanation of why eval tooling and product QA are complementary: model behavior checks vs system UX and safety checks.
Read →A focused checklist for agent testing: approval gates, tool schemas, invalid arguments, partial failures, and honest fallback UX.
Read →A practical way to run prompt injection testing that produces evidence: define pass rules, test tool safety, verify fallback UX, and re-run after prompt changes.
Read →RAG reduces hallucinations, but it changes how they show up. Here are the checks you can verify: grounding, citation honesty, retrieval misses, and tenant isolation.
Read →Three clear outcomes for AI release gates — when to ship, when to wait, when to block, and who must own residual risk.
Read →A launch risk score is a conversation starter, not a certificate. How to use it, how not to misuse it, and what to do after you see the result.
Read →Why a handful of friendly prompts is not AI QA — what golden prompts miss, how to specify pass rules, and what belongs on a launch checklist.
Read →Why a clean AI demo is not proof your product is ready — how demos hide risk, what breaks next, and what to check before rollout.
Read →Free tools first, or a triage call if you want an independent pass before launch.