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Research & Commons

Notes & Briefs

Evaluation Science Briefs: concise, source-linked articles on how to design, interpret, and use evidence from agentic system evaluations.
  1. 01

    What Does an Agent Evaluation Actually Support?

    How to check, step by step, how far a benchmark score can be taken toward a deployment decision.

    5 min read

  2. 02

    How Do You Know Your Agent Grader Works?

    How to test a grader on outputs with known answers before using it to compare agents.

    5 min read

  3. 03

    Is This Agent Result Reproducible?

    How to test whether a result holds up beyond reruns of the same setup.

    4 min read

  4. 04

    Is This Agent Good Enough for the Decision?

    How to set a threshold and a decision rule before comparing a score against them.

    4 min read

  5. 05

    What Should an Agent Evaluation Report So Someone Else Can Use It?

    What to put next to a score so that someone else can check and reuse it.

    3 min read

Event notes

  1. Boston

    Who Checks AI's Work? Notes from Boston

    Generating tasks, environments and papers with AI is now easy; checking them is the bottleneck. From the October 28 Boston working group.

  2. Bay Area

    Bay Area Research Gathering: Summary

    What researchers from AI labs, technology companies, and startups said agent evaluation needs in order to become a scientific practice.

  3. Boston

    Boston Working Group, September 2026

    What researchers from MIT, Harvard, Northeastern, Brown, UMass Amherst, and industry see as the main bottlenecks in agent evaluation.