Evergreen how-tos that pair with our free tools. Method first. No invented client stats.
Looking for shorter posts? See the blog. Domain-by-domain write-ups live in the case studies.
A full practical sequence to test AI apps before launch — risk mapping, journeys, model probes, safety, fallbacks, severity, and ship/wait/block gates.
Read →A full AI app launch checklist covering journeys, model behavior, safety, fallbacks, ownership, and how to use it without false confidence.
Read →How to use an AI launch risk self-check honestly, interpret urgency, avoid false precision, and turn the result into next actions.
Read →Clear ship, wait, or block criteria for AI features — adversarial coverage, data exposure, fallbacks, write gates, ownership, and examples.
Read →A practical guide to testing RAG hallucinations: grounding accuracy, retrieval misses, citation honesty, tenant isolation, and fallback behavior—without turning a demo into proof.
Read →A practical checklist for prompt injection testing: what probes to run, what to measure, how to define pass/fail, and how to connect results to product release decisions.
Read →Free tools first, or a triage call if you want an independent pass before launch.