This mirrors the in-app onboarding. If you’ve already completed the wizard, you’ve done most of this.Documentation Index
Fetch the complete documentation index at: https://docs.productbrain.com/llms.txt
Use this file to discover all available pages before exploring further.
1. Start with what’s on your mind
After signing up, the wizard asks: “What are you working on?” You don’t need to think in goals or frameworks. Describe what you’re building, a problem you’re facing, or an idea you’re exploring. The AI maps your input into the right level of the tree. Examples of good starting points:- “I’m building a claims management tool for insurance adjusters”
- “I need to figure out how to reduce churn in my SaaS”
- “I want to automate my email workflow with AI”
2. Review the AI’s draft
The AI generates a structured branch — a goal, needs underneath it, and approaches for each need. Review what it suggests:- Does the goal capture your business outcome? Edit it if not.
- Do the needs cover what must be true? Add or remove as needed.
- Are the approaches reasonable bets? You don’t have to keep all of them.
3. Describe your project
Open the project panel and tell the AI about your project. This isn’t just a description — it shapes how the AI talks to you going forward. It’ll ask about:- What you’re building
- What tools you use
- How you verify that things work
4. Create an iteration
An iteration is a bundle of work you plan to ship together — like a release, a sprint, or a milestone. Click the iteration panel and create your first one. Call it whatever makes sense: “MVP”, “Phase 1”, “June release”.5. Generate jobs
Select an approach and click Propose jobs. The AI generates verifiable acceptance criteria — proof that the approach is working. Review, edit, and commit.6. Assign jobs to your iteration
Select jobs and assign them to your iteration. This is how you decide what ships when.7. View the Delivery Map
Switch to the Delivery Map view. Your approaches are columns, your iteration is a row, and the jobs show what proof you need for each bet. This is your execution view.Next Steps
The Framework
Understand the model in depth — what each level means and how they connect.
Iterations
How to think about bundling work into releases.

