Research & Commons
Notes & Briefs
Evaluation Science Briefs: concise, source-linked articles on how to design, interpret, and use evidence from agentic system evaluations.Featured / Start here
How Close Is an Agent Evaluation to the Real Workflow?
How to check whether a benchmark score holds up in the workflow where an agent will actually be used.
- 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.
- 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.
- 03
Is This Agent Result Reproducible?
How to test whether a result holds up beyond reruns of the same setup.
- 04
Is This Agent Good Enough for the Decision?
How to set a threshold and a decision rule before comparing a score against them.
- 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.
Event notes
- 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.
- 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.
- 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.