Definitions for the Agent Era

Not a deployment lifecycle, runtime state lifecycle, manifest lifecycle, or workflow lifecycle. Those systems may be useful. They do not define the accountable lifecycle of agent work.

Not prompt engineering, context engineering, or harness engineering. Delivery means carrying human intent through context, planning, confirmation, execution, evidence, review, and accepted outcome.

Execution is a necessary condition. It is not a sufficient condition for accountable delivery.

Not task completion. Not model output. Not a passing evaluation score. Acceptance requires a review record, not merely a visible result.

Not observable work. Not evaluatable work. Accountable delivery is work that can be traced, reviewed, disputed, and accepted.

Not a UI approval button. A Confirmation Boundary defines what plan is being approved, which scope is covered, who is authorizing, and how that authorization links to the original intent and active constraints.

Not raw logs. Not traces. An Evidence Chain is structured support for a delivery claim: artifacts that can reconstruct why the work began, what plan was approved, what happened, and why the outcome should be accepted.

Not raw logs, traces, screenshots, or observability alone. The Agentic AI Auditability & Assurance White Paper 2026 treats audit evidence chains as lifecycle evidence architecture, not as an audit standard or assurance opinion.

Not certification, an audit standard, legal compliance proof, assurance opinion, or vendor ranking. It is the auditability and assurance white paper's public research edition framing.

Not a legal liability object, certification criterion, mandatory implementation schema, or audit-procedure template.

Not a score, benchmark, certification, assurance result, legal compliance proof, procurement tool, or vendor comparison.

Not insurance advice, a coverage opinion, insurer acceptance, coverage-ready status, underwriting-ready status, certification, or a guarantee that any system is insurable.

Not insurer product requirements, policy terms, legal liability objects, certification criteria, or a mandatory implementation schema.

Not an actuarial score, insurer acceptance, coverage guarantee, underwriting standard, claims approval guide, certification, vendor score, or procurement benchmark.

Not a liability determination, coverage opinion, insured-status opinion, or conclusion that a policy applies.

Not the insured party, not a legal subject, not a standalone coverage trigger, and not a claim that a system is insurable.

Not claims approval guidance, a payment guarantee, legal causation proof, settlement advice, or an insurer-required form.

Not task completion, autonomous execution, generic observability, or a claim that a system is audit-ready by default.

Not hallucination. Not context window overflow. Semantic Loss is the failure mode where meaning, authority, and constraints are silently dropped during agent work, often without any single step appearing wrong.

Not multi-agent coordination. Not orchestration. Multi-Agent Lifecycle Governance requires authority, evidence, and accepted outcome, not only task routing.

Not model hallucination. Not factual error. Intent Drift is a lifecycle failure where the system lacks a stable way to preserve, update, and verify intent over time.

Not a context window limitation. Context Drift happens when summaries compress reasoning, old rules remain active after requirements change, or constraints are present but not weighted correctly.

Lifecycle Responsibility Consensus is not ordinary agent routing, workflow continuation, or human approval. It describes how the orchestration layer aligns responsibility, execution, evidence, review, and acceptance into one traceable delivery relationship.

MPLP does not equal Agentic Delivery. MPLP is the protocol path inside the Agentic Delivery category, not the category itself.

Not application logic. Not prompt rules. Not observability. Protocol Engineering defines what must be true before agents act and what must remain traceable after they act.

Not renaming PM, Architect, Developer, Reviewer, or QA as agents. Lifecycle Role Decomposition decomposes the responsibility behind those roles into lifecycle objects so agent systems can operate them with accountability.

Not a node graph. A Lifecycle-Governed Agent Workflow carries role boundaries, confirm gates, trace obligations, rollback points, and delivery states, not only execution edges.

Multi-agent is not multi-agent count. Two agents sharing a context window without responsibility separation is not a multi-agent system. It is a parallel execution pattern.

Agent Orchestration is not lifecycle governance. Orchestration coordinates execution. Governance defines authority, accountability, evidence, and accepted outcome: conditions that persist beyond any single execution run.

HITL is not governance. A human can be present and still lack the information needed to authorize responsibly. Lifecycle governance requires that the human's confirmation carries explicit scope, plan context, evidence obligation, and return condition.

Not permission management, access control, or monitoring. Those are necessary conditions. Governance also requires lifecycle continuity: authority must attach to intent, plans must carry constraints, confirmations must be recorded, and evidence must survive after execution.

Not an output standard. Not an evaluation score. The Delivery Standard asks whether the work can be traced from intent to accepted outcome with responsibility still attached.