Use cases

Keep workflow logic stable while models change.

Built first for AI startups, SaaS teams and engineers running multi-provider AI products.

Starting point

Begin with a bounded workflow

Choose a workflow with clear inputs, an observable outcome and an existing review point.

Cycle time

Quality

Accountability

Three starting points

AI startups & SaaS

Build AI applications without structurally tying workflow logic to one provider.

Stable workflow

Interchangeable routes

Preserved state

Software engineering

A structured execution trajectory connects each role without hiding intermediate outcomes.

Specialized agents

Review loops

Inspectable outcome

Model experimentation

Explore capability, cost and execution characteristics while workflow logic stays stable.

Task-level routing

Controlled comparison

Same business logic