Where Constraint fits around AI-assisted work

01The boundary is deliberate

Constraint manages playbooks, review gates, review records, versions, and visibility into process changes.

02The AI tool remains separate

Model responses, tool permissions, files, and available context remain with the AI environment.

03Setup details depend on the implementation

The site should not be read as a claim that every tool or integration is supported.

04Other AI tools still matter

Tools like ChatGPT, Microsoft Copilot, GitHub Copilot, Gemini, and Antigravity help people generate or execute AI-assisted work. Constraint focuses on the shared playbook layer for that work: playbooks, state, review, review records, and versions.

The takeaway

Constraint is most useful when recurring AI-assisted work needs shared shape: a playbook, a review gate, a review record, and versions over time.

Ready when you are, start with one workflow.

Prefer to look first? View playbook examples, no email needed.