Docs · AI Usage
AI Usage & Assistance
MSP-1 is an AI-first protocol, and AI tools play a role in drafting and refining its documentation and examples. This page explains how that assistance is used, reviewed, and disclosed.
1. AI-Assisted Authorship
Portions of MSP-1 documentation, examples, and supporting materials MAY be drafted with the help of AI systems. This assistance is used to:
- Accelerate drafting and iteration.
- Maintain consistency of terminology and structure.
- Explore alternative phrasings and examples.
AI assistance does not replace human oversight or accountability for the published material.
2. Human Review & Responsibility
All normative documentation SHOULD be reviewed by human editors before publication. Human maintainers are responsible for:
- Verifying technical accuracy and internal consistency.
- Ensuring neutral, implementation-agnostic language.
- Deciding when and how updates are promoted to official status.
3. Provenance & Transparency
Where appropriate, MSP-1 implementers are encouraged to reflect AI
assistance in their own provenance metadata using fields such as
msp1:authorshipModel and related properties. The MSP-1
Project follows the same philosophy by:
- Documenting AI assistance in internal workflows.
- Maintaining human review and sign-off processes.
- Updating provenance descriptions as practices evolve.
4. Alignment with the Protocol
MSP-1 treats AI as a tool within a transparent authorship and review process. The same expectations of honesty, provenance, and verification apply whether content is human-authored, AI-assisted, or hybrid.