See Scope Architect on your own project. Get a walkthrough →

Think it through.
Get a plan an agent can execute.

Talk the idea out like a whiteboard. Cut what doesn't belong. Then turn what's left into modules, tasks, and acceptance criteria your agent can pick up without asking questions.

IdeaTicketRepoNotes
scope engine
ModulesFeaturesTasks
Acceptance criteriaDependenciesEffort

Talk it out before anything touches code.

Architect Chat is the whiteboard. Float the idea, cut what doesn't belong, and see the real surface area before anyone writes code. Every decision lands in the plan as a change you preview and apply.

What you can ask
  • Decide what's in the MVP
  • Pressure-test a feature before you build it
  • Find the edge cases now, not mid-build
  • Split the work into tasks one agent can finish
Break the auth feature into tasks one agent can finish, with acceptance criteria.
Done. Split into 6 tasks: signup, login, password reset, OAuth, session refresh, audit log. Each has acceptance criteria and knows what it depends on.
What can we cut and still launch?
Move OAuth and the audit log to a later module. That takes 2 tasks out of launch and nothing else depends on them. Preview the change, then apply it to the plan.

A plan an agent can actually execute.

Not a chat log. Not a markdown file in the repo. What comes out is modules, tasks, and acceptance criteria, sized for one agent session, with an order to the work. Paste a brief, a ticket, or a one-liner, or talk it out first.

What comes out
  • Modules, features, tasks
  • Acceptance criteria on every task
  • Work in dependency order
  • Estimates in your unit
A generated scope: modules broken into tasks with acceptance criteria

Grounded in the repo you actually have.

Import the codebase and the engine reads it before it plans: your stack, your conventions, what already exists. Pin those defaults once and every new scope lands in a context your agent already understands. Nothing is written into the repo. The plan lives here.

Defaults that travel
  • Your stack
  • Your target agent
  • How you like tasks written
  • Import from GitHub
Importing a GitHub repository so the scope is planned against the real codebase

Then you watch the build as agents work.Track it →

Mission control for
building with AI.