Skip to main content
Build is the higher-investment pillar: once you can observe your traffic and test its quality, this is where you improve the underlying model and compose it into real applications: fine-tunes, agents, and multi-step workflows. Come here when you want to answer: “How do I make the model better at my task, and how do I wire it into something that takes action?”
In the Portal, everything in Build lives under the Forge section.

​
What you can build

Models

Fine-tune a model end-to-end: datasets, compositions, runs, validation, then deployment.

Agents

Tool-using runtimes that plan, call capabilities, and synthesize results.

Workflows

Multi-step AI pipelines you invoke with a single API call.

​
End-to-end walkthroughs

If you’d rather follow a complete recipe than read reference pages:

Build an Agent

Create, capabilities, orchestration, state, then test.

API to Agent

Turn an OpenAPI spec into an agent with API-call actions and routing.

Fine-tune a Model

Dataset, composition, run, validation, then deployment.

​
Where to go next

Build depends on data that Observe produces and quality gates that Test enforces, most teams arrive here after both. To call what you build from code, see the SDK Reference.