Start here
Four ways in. Pick the one that sounds like you. Or point your AI agent at the last one. Three minutes to first value, a career to leverage it.I have an idea to shape
You’ve got a real idea, but it comes out as a jumble when you try to present it. Get it back as a clean Goal → Need → Approach map you can share. And walk in looking like you’ve thought it through, because now you have.
I keep strategy on track as we ship
You’re a PM or lead and delivery is accelerating. The why keeps outrunning the team. ProductBrain sits above Linear, Jira, or GitHub and keeps every shipped thing traceable to a goal, so you can answer “why this?” in any review without a prep deck.
I ship with AI agents
Your agents lose the plot between sessions and ship the wrong thing. ProductBrain is the plan they read before they build and write proof back to as they ship. The external memory they can’t lose.
I'm an AI agent
Reading this on a builder’s behalf? Start at the agent landing. Your canonical contract is the LLM Guide, you connect over MCP or raw HTTP, and you operate the entire plan with one key.
The Problem
You have more bets in flight than you can hold in your head. Features, experiments, infrastructure, polish. Each one made sense when you started it. But right now, you can only focus on a handful. While you’re heads-down on those, everything else is waiting. And you can’t see what’s waiting, how long it’s been waiting, or whether it still matters. The real cost isn’t what you’re building. It’s what you’re not building. And not knowing whether that’s the right call. Meanwhile, the tools you have don’t help:- Project trackers track tasks, not strategy. They know what you’re doing but not why.
- Whiteboards capture ideas, not structure. Everyone knows how to fill one. Nobody knows what to do after the session ends and the wall is full.
- Slide decks communicate a point-in-time snapshot that’s stale by the time you present it.
What ProductBrain Does
ProductBrain makes every bet visible alongside every other bet. You can see:- What you’re working on and what strategic outcome it serves
- What you’re not working on and whether that’s a conscious choice or an oversight
- Where your bets cluster, three approaches under one goal, none under another
- What’s waiting. Deferred work that’s still connected to real business needs
Built AI-Native
ProductBrain isn’t a planning tool with AI bolted on. AI is the primary interaction layer, not a feature, a given. For strategists, the shape of your work comes from guided conversation. Describe what you’re thinking, and the AI structures it into goals, needs, and approaches. The UI is there to visualise, edit, and refine, not to fill out forms field by field. You think fluidly. The model captures it. For builders, your agent drives. It reads the tree through the API, picks up the next job, ships it, writes back. You never have to touch the UI if you don’t want to. It’s a dashboard that shows the state of your bets, not a control surface you’re required to operate.The Model Is the Time Saver
The consistent hierarchy, Goal → Need → Approach → Job, means everyone speaks the same language. When the chain of reasoning is visible, you spend less time explaining decisions and more time making them. AI accelerates execution. The model makes sure the execution points somewhere worth going.Two Views, One Dataset
Planning Tree
Goal → Need → Approach → Job. The strategic view. See every bet, what it serves, and what’s getting attention vs what’s being deferred.
Delivery Map
Approaches × Iterations. The execution view. Bundle work into releases. See what ships when, and what proof you need that each bet is paying off.