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Brief

A product navigator that captures team decisions and delivers real-time context to engineers and coding agents, so nothing gets built blind.

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Product Overview

What is Brief?

Brief preview

Brief is a product navigation platform built for teams shipping fast with AI coding agents. Rather than acting as a task tracker or documentation tool, Brief continuously captures product decisions from the tools teams already use — Linear, Jira, Notion, Slack, and GitHub — and organizes them into a living Product Graph. Engineers and AI agents (Cursor, Claude Code, Windsurf, and other MCP-compatible tools) can query this graph directly from their IDE, getting instant access to the reasoning, tradeoffs, and context behind every product decision. The result: fewer rewrites, better alignment, and more work that actually ships.


Key Features

  • Product Graph Engine

    Automatically maps captured decisions into a searchable, always-current knowledge graph that reflects your product's full history of reasoning and tradeoffs.

  • MCP Server & CLI Integration

    Connects directly to Cursor, Claude Code, Windsurf, and any MCP-compatible assistant, delivering product context to your agents right inside the IDE.

  • Decision Capture from Existing Tools

    Integrates with Linear, Jira, Notion, Slack, and GitHub to automatically extract decisions as they happen — no workflow changes required.

  • Contextual Navigation for Agents

    Goes beyond code syntax to give AI agents the business intent, constraints, and historical context needed to build the right thing the first time.

  • Team Alignment at Scale

    Captures strategic priorities and technical tradeoffs from key decision-makers, making that judgment accessible to the entire team even when they're not in the room.


Use Cases

  • AI-Assisted Development : Engineering teams using Cursor, Claude Code, or Windsurf can give their agents the full product context needed to reduce wrong-direction builds and costly rewrites.
  • Product Decision Management : Product managers can ensure every architectural and strategic decision is recorded, searchable, and connected to the features it informs.
  • Onboarding New Engineers : New team members can query the Product Graph to quickly understand why systems were built a certain way, cutting ramp-up time significantly.
  • Token Budget Optimization : Engineering leads can maximize the ROI of their AI compute budget by ensuring agents build correctly on the first pass, reducing wasted tokens on rework.
  • Cross-Team Alignment : Distributed or fast-scaling teams can stay aligned on decisions across Slack, Jira, GitHub, and Notion without holding extra syncs or maintaining separate wikis.

FAQs

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