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Bother

Bother makes organizational context machine-readable by modeling projects as a semantic graph of decisions, risks, goals, and dependencies that both teams and AI can navigate, with an AI agent that proposes graph updates.

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Bother is a tool that makes a team's organizational context machine-readable rather than trapped in people's heads. Instead of just tasks and issues, it models what a project actually is, capturing goals, decisions, risks, and dependencies and the connections between them in a semantic graph that both people and AI can navigate. The aim is a shared context layer so teams stop digging through threads to find out why a decision was made.

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The platform is built on a semantic graph model with 9 node archetypes (task, bundle, goal, person, team, issue, decision, resource, risk) and 9 typed edge types with semantic validation (contains, precedes, uses, evaluates, impacts, mitigates, achieves, involves, relates). It supports structured decision evaluation with a criteria scoring matrix and risk modeling with probability, impact, and typed connections to threatened work. An AI agent proposes graph mutations for user approval, keeping a human in the loop.

Bother offers several views for working with the graph: Galaxy mode for a project health overview, Orbit mode for a single-item context map with surrounding connections, and Focus mode for a personal priority queue. Discussion is anchored to the work rather than buried in generic channels. The tool is free during early access.

  • CategoryAI Project Management
  • Pricing ModelFree
  • DeploymentCloud
  • PlatformsWeb

  • Semantic graph model with 9 node archetypes and 9 typed edge types

  • Machine-readable organizational context for teams and AI to navigate

  • Structured decision evaluation with a criteria scoring matrix

  • Risk modeling with probability, impact, and typed connections to threatened work

  • AI agent that proposes graph mutations for user approval

  • Galaxy mode for project health overview

  • Orbit mode for single-item context maps

  • Focus mode for a personal priority queue

  1. Model your project: Capture goals, decisions, risks, tasks, and dependencies as connected nodes in the graph.

  2. Anchor discussion: Discuss work directly on the items it relates to rather than in generic channels.

  3. Review the AI's suggestions: Let the AI agent propose graph mutations and approve the ones you want.

  4. Navigate the views: Use Galaxy mode for project health, Orbit mode for item context, and Focus mode for your priorities.

  • Decision tracking
  • Risk modeling
  • Project health overview
  • Shared team context

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