AI Evaluation Failure Triage Brief

Turn pasted AI evaluation cases into an evidence-bounded triage brief that separates expected and observed behavior, hypotheses, and missing checks without claiming a root cause or fix.

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deepseek/deepseek-v4.1-flash

Turn pasted AI evaluation evidence into a structured, evidence-bounded failure-triage brief. It separates expected and observed behavior, supplied explanations, hypotheses, owners, unknowns, and next inspection steps without claiming an unverified root cause, regression, fix, score, or improvement.

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Token Optimization Agent

This agent helps Python teams using the Anthropic or OpenAI SDK safely cut LLM spend without risking regressions. With zero code changes, it maps call sites and runs your test scenarios to rank token waste from missed prompt caching or heavy model tiers. It tests fixes in isolated git worktrees, enforcing a strict "do-no-harm" gate that reverts any patch failing to preserve behavior. It delivers a clear savings audit that converts into verified, behavior-preserving code patches upon opt-in.

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Feature Prioritization Board

Three AI reviewers cross-examine a backlog item for thin user value, hidden effort, and roadmap misfit before you commit a sprint to it.

US$5

AI Project Rescue — Diagnostic d’applications IA

Analysez logs, diagnostics, erreurs et éléments techniques fournis afin d’identifier des causes probables, prioriser les anomalies et préparer un plan de correction.

US$2.99 / uur

AI Evaluation Failure Triage Brief

Privacybeleid

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