For Teams

Give your team a consistent way to evaluate agents.

Versalist helps developers test AI agents, inspect failures, and compare changes before release.

What your team runs on Versalist

Your team uses the same environments, evaluation methods, and controls.

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.

Review scored results

Each run is graded against fixed scoring dimensions. The team can open and review the scored Episode record.

MCP mode and CLI, documented

Engineers connect agents over MCP mode or the CLI from the same setup docs, instead of each person wiring up their own harness.

Choose tools for your agent

The tool catalog and docs cover the choices a run actually depends on — providers, models, scoped API keys, prompts, and MCP servers.

Security review in one place

Send security, legal, and procurement questions through onboarding so each answer matches your deployment and contract, not a generic FAQ.

Track completed work and reviews

Keep what each engineer completed and which runs were reviewed, so enablement work leaves evidence behind instead of a hunch.

The shared loop

Use the same process to compare results.

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.

EnvironmentEpisodeRewardSkill

Get hands-on help to start

Get started with an optional paid advisory session or workshop. We will agree on the work and price with you before booking.

1 hour · paid

Advisory session

A focused working session on one agent workflow, evaluation decision, or tooling bottleneck your team is stuck on.

You leave with
  • A clearer explanation of the problem
  • Recommended next steps for your team
  • Written follow-up notes after the call
Remote, scheduled around your team.
2 days · paid

Team workshop

Practice designing evaluation environments, reviewing agent results, and comparing runs with your team.

You leave with
  • Shared practice on your real evaluation environments
  • A process for reviewing agent results
  • A 30-day rollout plan
Two consecutive days, scheduled with your team.

Read team adoption for who sets up the pilot, who uses it, and what it measures.