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BriefKeep your AI agents aligned with product strategy and decisions

Brief captures product decisions and intent, delivering context to teams and AI agents via chat, Slack, CLI, and MCP. Keep strategy connected to execution.

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More About Brief

Brief

Brief is your AI-powered product navigator that transforms scattered decisions into a living Product Graph. It ensures every engineer and AI agent builds with full context—understanding not just what to build, but why it matters and where it's headed.

Product Highlights

  • Automatic Decision Capture: Brief watches your existing tools (Linear, Jira, Notion, Slack, GitHub) and extracts decisions as they happen—no manual documentation required.
  • MCP Server + CLI Integration: Seamlessly connects with Cursor, Claude Code, Windsurf, and any MCP-compatible AI assistant to deliver instant context within your IDE.
  • Living Product Graph: Builds a searchable, interconnected map of your product decisions that stays current automatically.
  • AI Agent Alignment: Prevents AI agents from building the wrong thing by navigating them to product truth—decisions, constraints, and customer context on demand.

Use Cases

  • Engineering Teams: Eliminate the "telephone game" between product and engineering by giving developers direct access to decision rationale and tradeoffs.
  • AI-Assisted Development: Maximize your AI token budget by ensuring agents build correctly the first time, reducing rework and wasted iterations.
  • Distributed Teams: Keep remote teams aligned without constant meetings—Brief captures and distributes context even when leaders aren't in the room.
  • Startup Scaling: Preserve institutional knowledge as you grow, ensuring new team members understand the "why" behind every feature.

Target Audience

Brief is designed for engineering leaders, product managers, and startup founders who want to ship faster with AI assistance while maintaining quality and alignment. Ideal for teams using Cursor, Claude Code, or Windsurf who struggle with AI agents building technically correct but contextually wrong features.

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