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- Agentic Delivery and project lifecycle design
- AI Agent Lifecycle as the field definition for accountable agent work
- the field conflict between execution and delivery
- lifecycle governance above MCP and A2A
- lifecycle protocol, runtime path, delivery proof path, and evidence adjudication
- field notes from MPLP, Cognitive OS, SoloCrew, and Validation Lab
COLUMN_SIGNAL: DEFINE THE AI AGENT LIFECYCLE
The essay sequence now connects the AI Agent Lifecycle origin argument to model governance, Missing Regulatory Objects, RCCS-M, ALCS, and lifecycle responsibility compliance.
When an Agent Says "Done," Who Accepts the Outcome?An Agent can complete its execution while the work remains unaccepted. A first-person field essay from building MPLP and its Development Runtime about Intent change, evidence, authority, and the lifecycle decision that turns execution into delivery.Open the AI Agent Lifecycle field definitionOpen the Concepts map behind the seriesReady to submit. Buttondown will open its confirmation step.
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