VM4AI AIR Kit v0.2.0
VM4AI AIR Kit v0.2.0
This release refreshes the public AIR Kit as a prompt-only, user-loadable framework for structured AI-assisted project work.
It updates the public documentation, removes obsolete agent-bridge material, clarifies licensing/notice metadata, improves onboarding and ambiguity handling documentation, and aligns grounding profile doctrine across canonical JSON files and human-readable Markdown references.
Highlights
- Clarified AIR as a public prompt-only kit, not a backend-validated runtime.
- Removed obsolete agent execution bridge materials.
- Added public user guidance and model portability notes.
- Added workflow declaration, model portability, and handoff restoration doctrine.
- Updated AIR Core Runtime, Control Surface, starter profile, and handoff template.
- Updated Grounding Specialist and Grounding Domain Pack JSON profiles.
- Updated human-readable grounding profile references to prevent JSON/Markdown doctrine drift.
- Added
NOTICEfor Apache 2.0 attribution/notice hygiene. - Updated the ambiguity case study to mark it as a historical diagnostic case study and regression seed.
Scope Boundary
This release does not claim backend enforcement, signed AIR contracts, runtime validation, autonomous agent execution, or empirical AIR performance improvement.
AIR Kit v0.2.0 remains a prompt/profile/documentation kit. Backend validation, signed contracts, runtime enforcement, package distribution, or empirical performance claims require separate implementation and evidence.
Recommended Use
Use the JSON files for model upload and machine-readable profile/domain loading.
Use the Markdown files for human review, GitHub browsing, doctrine inspection, and discussion.
Use the case studies as product narrative, diagnostic records, and regression-test seeds — not as canonical runtime specifications.