Abstract product brain made of connections

Stop Wishing Your Team Could Read Your Mind

From Idea to Feature at AI Speed

Get enough input to build the right thing fast. Brief pulls in your ICP, Intent, and context from tools like Slack, Notion, and More. Accelerating product development.

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Brief Product Graph Engine

How do you go from customer insight to shipped feature without losing the "why"?

Product Context

Brief learns your ICP, market, and product strategy. Turning fuzzy priorities into clear direction

Team Decisions

Brief remembers every decision and why you made it. Zero re-explaining.

Integrations

Stop writing specs manually. Brief plugs into Jira, Linear, Slack, and generates the documentation for you.

Brief workflow from conversation to code implementation
Product context graph showing ICP and strategic goals

Scale Your Context as Fast as Your Team

As you grow, your product vision gets diluted. New hires miss the backstory, details get lost in Slack, and priorities blur. Brief captures your ICP, competitive edge, and strategy once, then surfaces it exactly when your team needs it, so everyone ships with the full picture.

Turn Decisions Into Compounding Knowledge

Capture technical, product, and process decisions as you make them. Brief creates a searchable decision log that shows what you chose, why you chose it, and when it expires. Your team (and AI agents) can move fast without second-guessing.

Decision log showing technical and product choices with rationale
Brief integrations with Slack, Notion, Linear, and GitHub

Work Where You Work, Context Flows Automatically

Your best thinking happens across Slack, Notion, Linear, and GitHub. Brief connects them all, automatically synthesizing conversations, docs, and patterns into one intelligence layer. Giving your team and AI agents complete context without changing your workflow.

Product Graph Engine

What is the Product Graph Engine?

It's how Brief connects decisions over time. Instead of isolated tickets and docs, it builds a timeline of:

  • Decisions → "We're using Stripe for payments"
  • Context → "We need to ship fast, can't build custom billing"
  • Outcomes → "Launched in 2 weeks, converted 5 customers"
  • Learning → "Customers asked for annual billing, Stripe supports it"

This means when your AI assistant helps implement a feature, it knows the strategic decisions that constrain how you build it.

Does this replace my roadmap?

No. It reads your tickets/roadmap and captures the reasoning behind each item. So when an AI builds a feature, it understands why it's prioritized and what problem it solves.

What happens when I change my mind?

Brief keeps the history. If you tried approach X and it didn't work, your AI assistant knows that and won't suggest it again. You don't repeat past mistakes.

Accelerate Your Product Development

AI agents have 10x'd your engineering output, but without strategic context, speed becomes waste. Features get built that miss the mark. Teams duplicate work. AI generates code that's technically correct but strategically wrong.

Your competitors are using AI agents too. The ones who win will be the ones whose AI actually understands the business.

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