What defines expert MCP lifecycle architecture?
This path treats the Factory as an operating system with technical and business invariants.
- Collection
- learning
- Updated
- 2026-07-30
- min read
- 2
- Version
- v1
Expert work integrates governance, multi-component releases, evidence quality, commercial fulfillment and machine retrieval without parallel sources of truth.
Purpose
This path treats the Factory as an operating system with technical and business invariants.
Method
Lessons cover decision hashes, component manifests, rollback drills, evidence corrections and API/MCP parity. Concretely: Deployment covers the immutable-release and rollback-drill model directly, and Factory covers how that release model fits the full entry-to-reverification lifecycle.
Boundary and limitations
Expert systems still fail closed when identity, authority, evidence or fulfillment is unknown.
Examples
2- 01
Withhold a release even after build success when the checkout promise cannot be matched to exact fulfillment.
- 02
A staging rollback drill that switches candidate to rollback and back, with the exact SHA externally re-observed at each step, is the expert-track pattern for deployment evidence — not a changelog entry.