How Versalist Works
Every challenge on Versalist is a learning environment. You enter it, run your agent, and collect a reward signal that tells you exactly what to improve. The same loop that trains the best AI models — environment, action, reward — applied to how you build. Browse environments and guides without signing in. We only ask you to authenticate when you want to save trajectories or track progress.
Enter the environment
Each challenge defines a learning environment: the sandbox your agent runs in, the tools available in the action space, and the constraints it must respect. Browse by domain, difficulty, or the part of the RL stack you want to exercise.
Run your agent
Deploy your agent into the environment using your preferred framework and model. Every action, tool call, and decision is captured as a trajectory — a full record of how your agent approached the problem.
Collect the reward signal
Structured evaluation rubrics score your agent across weighted dimensions — not just pass/fail. The reward signal tells you exactly what worked, what didn't, and where to focus your next iteration.
Why we ask you to sign in
Environments, guides, and the tool directory are open to everyone. Signing in unlocks trajectory storage, sandbox access, and your personal feedback loop.
Trajectory history
Every run is captured as a trajectory — the full record of your agent's actions, tool calls, and outcomes. An account lets you store, compare, and learn from past runs.
Secure sandbox access
Environments may provision API keys, sandbox compute, or third-party tool access. Authentication lets us scope credentials safely and audit usage.
Feedback loop continuity
Your evaluation history, reward signals, and improvement trajectory persist across sessions. The learning loop only works if we can track what you've tried before.
Prefer email instead of Google or GitHub?
Join the waitlist and we will invite you to our email-based sign-in pilot as soon as it launches.
Ready to enter an environment?
Browse all available learning environments, or explore the guides and tools directory. You can preview everything before creating an account.