Exploring Ai Failures
作者 PostHog469d1773e9cb無授權條款88 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新
Find where an AI/LLM application is failing in production and surface the failure patterns, working from real traces. Use when someone wants to understand what's going wrong with an AI feature, find and categorize failure modes, triage errors, or investigate quality issues (wrong answers, ignored instructions, hallucinations, tool misuse) — "what's failing in my agent", "surface error patterns", "why are the responses bad", "find the common failure modes", "what should I fix next". Covers scoping to one use case, finding failing traces by whichever signal fits the context (code errors, metric outliers, trace-type slices, manual review, existing-eval spikes, clustering), and reading them into a ranked failure taxonomy.
- 469d1773e9cb目前提交 469d177發布於 2026年10月8日
來源與署名
來源：PostHog/ai-plugin位於skills/exploring-ai-failures提交469d177
授權條款： 無授權條款
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