5-Question AI-Powered Goal-Based Testing
Methodology for AI agents to evaluate user journeys by taking screenshots, reading pages, and thinking like real users
Methodology for AI agents to evaluate user journeys by taking screenshots, reading pages, and thinking like real users
Index of runbooks for Claude Code agents — task startup, git safety, knowledge maintenance, QA, deployment checklist, feature registry, and decision logging
Static code analysis that catches anti-patterns, security shortcuts, and failure handling gaps that functional testing misses
How to self-review implementation as a senior QA engineer — using QA_CHECKLIST.md and AGENT_QUALITY_PRINCIPLES.md together to find critical, important, and minor issues before shipping
Post-mortem analysis of 40+ issues found during CEO manual walkthrough of Starter Chat journey as "Pastor Dave," with root cause analysis, methodology gaps, and actionable improvements
25 personas representing real users across the ChurchWiseAI portfolio, used by AI agents for 5-Question goal-based testing
Library of persona prompts for QA agents. Each persona catches different categories of bugs. Use at least 3 personas per journey test.
Every item an agent must verify before merging to a deploy branch — build passes, env vars set, QA checklist complete, no hardcoded test data, and marketing copy verified
How to run Playwright tests against production URLs (not localhost). Required for accurate auditing of CSR pages.
Mandatory procedure after every significant test finding — ensures root cause is fixed everywhere, not just in code