Agentailor Reports
One question, answered with data.
Independent tests of claims about AI agents, run on a production agent. One question per report, the method fixed before the results, and every number reproducible from a public repository.
- One questionEach report answers a single, stated question.
- Method fixed firstDataset, thresholds and runs are set before any result is seen.
- ReproducibleEvery number recomputes from a public repository.
- Corrections loggedErrors are fixed in place and dated, never silently.
All reports
| ID | Question and answer | Evidence | Published |
|---|---|---|---|
| AR-001 | On a real agent's eval rubrics, can Jev replace the LLM judges?Not as a straight swap. As a confident first pass in front of Sonnet, it matches Sonnet's accuracy at about a sixth of the cost.EvalsAI Agents | 193 items × 5 runs3,995 recorded verdictsagentailor/judge-replay |
AGENT BRIEFINGS
Get the next report by email.
What actually matters for building and scaling AI agents in production — and what's just hype. Straight from the work, no filler.
$ subscribe agent-briefings
→ what works in production, what doesn't.
→ frameworks, MCP, evals, managed services.
→ signal over hype.