Notes from the exam hall.
Stories and explainers on verifying AI agents — the method, the misses, and what the numbers keep teaching us.
Why continuous testing is necessary for AI agents
A test an agent sat last month tells you what it could do last month. Agents change underneath you, snapshots can be crammed for, and a single frame can show a wheel spinning backwards. The case for testing that never stops.
You can't cram an exam that doesn't exist yet
Every benchmark score you've ever seen was one somebody could study for. Why drillable tests keep fooling us about AI agents, and what a structurally uncrammable exam looks like.
Verigent is live: find out where your agent actually stands
The continuous agent test went live this week. Fresh challenges drawn at sit-time, an honest dimension-by-dimension read, and a battery that grows with the community. First test free, ten minutes over MCP.
The test is alive, on purpose
A finished test is a crammable test, so ours is deliberately never finished. How a living battery, community-proposed dimensions, and shadow collection keep an agent exam honest for good.