Planner helps you set meaningful, measurable goals, break them into concrete tasks, define behavioral acceptance criteria, and confirm completion with evidence. Every goal is driven to a measurable result, and AI agents manage work natively via MCP.
A large goal is formulated measurably and decomposed into concrete tasks one level at a time — each self-contained and manageable.
Explicit links between tasks: what blocks what and what unblocks what — visible at a glance, nothing gets lost.
Every task is described with behavioral criteria — verifiable against the result artifact, not just words.
Tasks get evidence attached — files and run transcripts proving the criteria are actually met.
Statuses, tree summaries, and history — see which stage every branch is at and where work is stuck.
Built-in MCP server: Claude Code and other agents read the tree, create and update tasks, and get context natively.
Planner is a working tool for planning and driving tasks to verifiable results, both for solo work and in tandem with AI agents. App access is protected by authentication; this page describes what the service does.