Adoption Thesis · Design Principles
Design Principles Behind MSP-1
MSP-1 is shaped by a small set of design principles that guide how trade-offs are made and how new features are evaluated.
1. AI-first, human-respectful
MSP-1 is designed first for AI agents—but never at the expense of human authors, editors, or users. The protocol:
- Respects human editorial judgment.
- Encourages honest declarations about AI usage.
- Aims to make human intent clearer, not replace it.
2. Minimal, composable, and modular
MSP-1 favors a small, composable set of profiles over a single, complex schema. This keeps implementations understandable, debuggable, and extensible over time.
3. Neutral and implementation-agnostic
The protocol deliberately avoids:
- Binding to any single vendor or AI provider.
- Requiring a specific CMS or platform.
- Embedding business-model assumptions.
MSP-1 is meant to be an infrastructure layer that others can build atop.
4. Transparent provenance and verification
Clarity is more important than perfection. MSP-1 encourages sites to be explicit about:
- How content is created and updated.
- What level of verification has been applied.
- Where key facts come from.
5. Future-proofing by design
MSP-1 expects AI systems, web technologies, and regulatory landscapes to change. The protocol is built to adapt without losing its core promises or forcing existing implementers to start over.