> ## 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.

# Your First Brain

> A worked example of building a planning tree from scratch.

This guide walks through building a real planning tree, from a vague idea to a structured strategy with delivery-ready jobs.

## Start with what you know

Let's say you're building a recipe sharing app. You don't need a business plan. Start with what's on your mind:

> "I want people to share recipes and discover new ones"

Type this into the +Need chat. The AI will help you figure out where it fits.

## The AI maps your thinking

The AI takes your input and structures it:

* **Goal:** Build a recipe platform that grows through sharing
* **Need:** Users can discover recipes that match their preferences
* **Need:** Users can share their own recipes easily

Review what it suggests. Edit labels, remove what doesn't fit, add what's missing. Then commit.

## Expand with approaches

Click on a need and add approaches. Specific bets on how to address it.

For "Users can discover recipes that match their preferences":

* **Approach:** Tag-based filtering (must-have, skateboard)
* **Approach:** AI-powered taste matching (delighter, car)

Each approach has a measure. How you'll know it works:

* "Users find a recipe they save within 3 searches"
* "AI recommendations get 40%+ save rate"

## Generate jobs

Select an approach and click **Propose jobs**. The AI generates acceptance criteria:

For "Tag-based filtering":

* "Filter panel shows available tags from recipe database"
* "Selecting a tag narrows results to matching recipes"
* "Multiple tags combine with AND logic"
* "Clear filters resets to full list"

Each job describes what you'd see if it's working. Not how to build it.

## Create an iteration and assign

Create an iteration called "MVP". Assign the must-have jobs. Switch to the Delivery Map to see your first release plan, approaches as columns, your MVP as a row, with the proof you need for each bet.

You now have a structured strategy that traces from business value through user needs to specific, verifiable delivery checkpoints.