repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · yesterday
strands-agents/evals
A comprehensive evaluation framework for AI agents and LLM applications.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 61%Building AX evals that actually work →
- PossiblePossibly related (embedding) · 67%Evaluating AI Agents: A production blueprint with Strands and AgentCore →
- PossiblePossibly related (embedding) · 51%Why good AI agents still produce bad system outputs →
- PossiblePossibly related (embedding) · 58%The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway →
- PossiblePossibly related (embedding) · 52%Evals are the new PRD, Expedia’s AI chief tells VB Transform 2026 →
Covers
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newsEvaluating AI Agents: A production blueprint with Strands and AgentCorenewsWhy good AI agents still produce bad system outputsnewsThe agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anywaynewsEvals are the new PRD, Expedia’s AI chief tells VB Transform 2026
Related across the graph
newsBuilding AX evals that actually worknewsEvals are the new PRD, Expedia’s AI chief tells VB Transform 2026newsThe agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anywaynewsWhy good AI agents still produce bad system outputsnewsEvaluating AI Agents: A production blueprint with Strands and AgentCore