Ideas
A supporting idea map for the AI Agent Lifecycle mainline. Canonical definitions live in Concepts; the main theory route is Lifecycle.
What concepts make the thesis legible? This is a supporting idea map, not the main theory route. The main route is AI Agent Lifecycle; canonical definitions live in Concepts; essays and proof path continue the argument.
AI Agent Lifecycle
The field-definition layer for accountable agent work: how intent, context, decisions, evidence, learning, and accepted outcome stay coherent through time.
What must stay continuous for agent work to remain traceable, reversible, accountable, and acceptable?
Agentic Delivery
Agentic Delivery names the missing layer between agent execution and accountable outcomes.
Can the system carry work from human intent to accepted outcome?
Project Lifecycle vs Task Execution
The distinction between completing a run and preserving intent, constraints, evidence, and acceptance over time.
Is the system optimizing the run, or preserving the work?
Protocol Engineering
A systems discipline for making intent, plans, confirmations, traces, and evidence explicit.
What must be represented before agents are allowed to act?
Lifecycle Governance
The missing governance layer above tool access and agent coordination: authority, constraints, confirmation, evidence, and closure.
Who governs the lifecycle before, during, and after agent action?
Evidence / Accepted Outcome
A delivery claim is not complete until evidence can be inspected and the outcome can be accepted against intent.
What proves that the work stayed legitimate and finished correctly?
Accountable Work
Work that remains tied to intent, authority, responsibility, evidence, and review instead of ending as an unaudited output.
Can someone reconstruct why the agent acted and why the result should be trusted?