Understand how AI systems exchange, validate, preserve evidence, and expose tools without treating this site as the standards authority.
What is UAI-1?
Plain-language overview of UAI-1 as a public evidence and exchange layer.
UAI-1 Message Model
Field-by-field explainer with implementation framing and canonical links.
Validator Errors
Common failure categories and how to move from error output to fixes.
UAI-1 vs MCP
Decision guide for public release evidence versus local tool exposure.
UAI-1 vs OpenAPI
Boundary guide for exchange evidence versus HTTP API description.
Agent handoff patterns
A practical path for preserving context across teams and runtimes.