7 AI quality checks worth automating before your app hits production
goyalshaliniuk · x · 2026-10-09
goyalshaliniuk lays out 7 automated quality checks for AI apps: format validation (valid JSON, required fields, schema compliance), factual accuracy (verify claims against trusted sources, check citations, flag contradictions), and relevance/instruction following (did it answer the question, stay in scope?).
The core argument: apps that pass testing can still fail in production, so automate these checks early rather than reviewing every response by hand, reserving human review for ambiguous or high-impact cases.
Related event: Seven Automated Quality Checks Every AI App Needs Before Launch(3 posts)→
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