One set of environments
Everyone runs the same public challenge environments, so a passing run means the same thing for every engineer on the team.
For Teams
Versalist helps developers test AI agents, inspect failures, and compare changes before release.
Your team uses the same environments, evaluation methods, and controls.
Everyone runs the same public challenge environments, so a passing run means the same thing for every engineer on the team.
Each run is graded against fixed scoring dimensions. The team can open and review the scored Episode record.
Engineers connect agents over MCP mode or the CLI from the same setup docs, instead of each person wiring up their own harness.
The tool catalog and docs cover the choices a run actually depends on — providers, models, scoped API keys, prompts, and MCP servers.
Send security, legal, and procurement questions through onboarding so each answer matches your deployment and contract, not a generic FAQ.
Keep what each engineer completed and which runs were reviewed, so enablement work leaves evidence behind instead of a hunch.
The shared loop
Environment, episode, reward, skill. When everyone works from the same loop, a review is a comparison of decisions — not a debate about whose demo looked better.
Get started with an optional paid advisory session or workshop. We will agree on the work and price with you before booking.
A focused working session on one agent workflow, evaluation decision, or tooling bottleneck your team is stuck on.
Practice designing evaluation environments, reviewing agent results, and comparing runs with your team.
Read team adoption for who sets up the pilot, who uses it, and what it measures.