Deterministic · ecosystem-driven · no AI guessing

AI Project Planner

Describe what you want to build. We'll point you to the exact blueprint to start with and the ordered path through it — read straight from the ecosystem, never invented.

Strong match — here's your recommended path.

Recommended starting point

Blueprint Build a SaaS MVP with AI The full path from idea to a shipped SaaS MVP — define and scope the requirements, design the architecture, API, and data model, then build it reviewed, tested, secured, cost-controlled, and deployed. Open the full blueprint →

Suggested execution path

  1. Define what you're actually building

    A requirements document the build can start from.

  2. Cut it to an MVP

    A first-release scope small enough to actually ship, with a success signal.

  3. Design the architecture

    An architecture decided on its trade-offs and documented.

  4. Design the API contract

    An API contract the build develops against.

  5. Design the data model

    A schema designed on its entities, constraints, and queries.

  6. Review the code as you build

    Changes reviewed for correctness and design before they merge.

  7. Lock behavior down with tests

    Tests that catch real regressions, not green decoration.

  8. Run a security pass before launch

    The exposed paths reviewed for vulnerabilities and guarded by tests.

  9. Keep the AI feature costs in check

    AI feature costs measured and trimmed before they hit production volume.

  10. Ship the first release

    The MVP deployed with a rollback path and monitoring.

Supporting playbooks

Supporting resources

Supporting tools

What to do next

Start with step 1: AI Product Requirements Workflow

Open the full blueprint →