Product

Intent-System: an operational implementation of IDD

Intent-System is our implementation of Tree-Structured Operational IDD. It puts intent — not spec — at the center, then turns each ready slice into reviewed work. Released intent-cli v0.32.0 emits the commands and records or verifies the state, whether you run one seat or a multi-seat team; your agent or operator runs the external tools after approval.

Try Intent-System→See how it runs todayEvidence showcase1 thread + subagentsMulti-seat teamRoadmap
In one diagram

The operational loop

Intent treecurated by humansIssueissue-ready sliceImplementerhuman / agent / AIReviewagainst intentCloseoutsync state, plan next slice▸ slice▸ assign▸ open PR▸ acceptnext slice — back to treeHUMANSAGENTSCLOSE

The loop runs on GitHub issues. A slice of the intent tree becomes an issue that already carries the architecture, contracts, and UI patterns it needs — so writing a clear issue, the highest-leverage skill in modern AI-assisted coding, becomes feasible. Implementation runs on context that is already there. Review compares the PR to the intent slice, not to the reviewer's taste. Closeout writes any new decisions back into the tree as canonical intent.

The tree itself doesn't need to be perfect on day one. A continuous Clarification step lets AI surface "what about this?" questions in bulk with recommended answers; humans accept the recommendation where they have no strong opinion and override it where they do. Intent grows incrementally, not in an upfront marathon.

The loop runs the same way whichever team shape runs it. We recommend starting with one thread plus subagents — one conversation runs every step and a fresh subagent reviews each change. intent-cli v0.32.0 also supports the four-thread and five-thread teams when you need parallel throughput; herdr-only is recommended for collocated multi-seat teams, and the three-thread timer loop remains a supported alternative. 1 thread + subagents → Multi-seat team →

Current practice

Models each thread runs today

These are the models this project's threads run today:

Design

Opus 5 / Sonnet 5 / Fable 5 / GPT-5.6 Sol

Implementation

GPT-5.6 Luna Max / Sonnet 5

Review

GPT-5.6 Terra Max / Opus 5

This is a current-practice snapshot, not a requirement. Intent-System is model-agnostic: the team shape defines responsibilities and decision boundaries, not a mandatory model list.

Built on our proposals

Intent-System embodies both proposals — but they don't depend on it. Intent Compass — the Intent Tree supplies the direction for each slice. Git-AI-Flow — the proposal describes an ai-develop lane; intent-cli itself uses the configured target branch or named lane.

What Intent-System is not

  • Not a code generator. Code is downstream; we don't ship a model.
  • Not a replacement for your IDE.
  • Not a project management tool, though it can integrate with one.
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