Get started with distil labs
distil labs is the post-training platform where engineers build high-performance models and continually improve them using production data.
Quickstart
Section titled “Quickstart”Install the CLI:
curl -fsSL https://cli-assets.distillabs.ai/install.sh | sh
Create your account. distil signup opens a browser page where you create the account and sign in:
distil signup
Install the skill for your coding agent, the recommended way to build your first model:
distil skill install
Then start your agent:
claude "Let's get started with distillabs.ai/onboarding.md"codex "Let's get started with distillabs.ai/onboarding.md"Let's get started with distillabs.ai/onboarding.mdLet's get started with distillabs.ai/onboarding.mdDashboard
Section titled “Dashboard”The dashboard at app.distillabs.ai lists your models, datasets, traces and inference endpoints. Sign in with the same account you use for the CLI.
Next steps
Section titled “Next steps”- Account and authentication - create an account and sign in
- Ways to use distil labs - the CLI, the agent skill, the REST API and the dashboard
- Billing - what jobs cost, your balance, and adding funds
- Building a model - the flow end to end, and where to enter it
- Task selection - pick the task type first, it sets everything else
- Inference endpoint - the default: start from the traffic you serve today
- Dataset - start from logs or labeled rows you already hold
- Model iterations - improve a trained model, iteration by iteration
- CLI reference - every command
- API reference - the same platform over HTTP