AI Agents That Matter

Catalog evidence and recorded chart appearances. Inclusion is not an endorsement.

Source snapshot imported 2026-10-20. This is not a live feed. Source and contributions.

Evidence and limits

Finding: Accuracy-only evaluation can reward complex, expensive agents, obscure the source of gains, and encourage benchmark overfitting. Downstream users and model developers also need different evaluation evidence.

Impact: Strengthen joint cost-and-outcome evaluation, holdouts, and downstream-fit reporting.

Boundary: This is a methodological critique, not a field test of one collaboration workflow. Next: what minimum holdout and replay design prevents Breadcrumbs patterns from overfitting their own examples?

Flags: preprint; benchmark and cost-definition dependence

Record State: Catalog review recorded; not a performance endorsement

What was reviewed: Structure and relevance screened; not a full evaluation

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Recorded chart appearances

  • 2026-10-13: position 3. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence
  • 2026-10-12: position 3. Relevant to the recorded review topic (see source); Structure and relevance screened; not a full evaluation evidence