PERSONAL RESEARCH LEDGER

Jearon Wong

Protocol Architect for the Agent Era

Jearon Wong portrait

AI Agent Lifecycle defines the accountable lifecycle of agent work from intent to accepted outcome.

Execution is not Delivery.

MPLP is the protocol path within the Agentic Delivery argument. It preserves lifecycle responsibility, authority, evidence, and outcome semantics across models, frameworks, runtimes, and vendors.

Open the field definitionAbout Jearon Wong

The thesis

Field definition

AI Agent Lifecycle

AI Agent Lifecycle defines the accountable lifecycle of agent work from intent to accepted outcome.

Agentic Delivery names the missing layer between agent execution and accountable outcomes.

ProblemExecution is not Delivery.
ProtocolMPLP / Lifecycle Protocol
ProofRuntime Path · Delivery Proof Path · Evidence Adjudication
VISUAL_MODEL: PROJECTS

The public argument follows one path.

Cognitive OS, SoloCrew, and Validation Lab form the concrete proof path through Agentic Delivery. MPLP is the protocol path that makes it governable and auditable.

  1. 01Protocol pathMPLP lifecycle semantics
  2. 02Runtime pathState and execution substrate
  3. 03Proof pathApplied delivery records
  4. 04Evidence surfaceAdjudication and citation
Read left to right on wide screens and top to bottom on small screens. Explanatory sequence for this page.

Current signal

Latest published record

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.

Classfield-note
Tracklifecycle
DateAug 25, 2026

Protocol path

Open, vendor-neutral protocol

MPLP

MPLP is an open, vendor-neutral lifecycle protocol for AI agent systems.

MPLP is the protocol path within the Agentic Delivery argument. It preserves lifecycle responsibility, authority, evidence, and outcome semantics across models, frameworks, runtimes, and vendors.

RoleLifecycle Protocol
ScopeCross-model, cross-runtime lifecycle semantics
BoundaryProtocol foundation, not a complete runtime or certification

Proof path

3 role-separated records

Cognitive OS, SoloCrew, and Validation Lab form the concrete proof path through Agentic Delivery. MPLP is the protocol path that makes it governable and auditable.

01
Cognitive OSRUNTIME PATH
Runtime path for protocol-native agent work. Runtime path in development.
02
SoloCrewDELIVERY PROOF PATH
Delivery proof path for one-person-company AI operations. Proof path in development.
03
Validation LabEVIDENCE ADJUDICATION
MPLP evidence adjudication surface. Adjudication surface in development.

Selected research

3 public editions

Global AI Compliance White Paper 2026

A lifecycle governance foundation for AI agent and multi-agent compliance.

Use for definitions, object-model discussion, and lifecycle governance framing.

Editionv0.3.2 Public Research Edition
RolePublic research edition with HTML and PDF artifacts. Manifest and checksum records are provided for integrity verification.
RouteResearch ledger

Start here

Orientation + 3 routes

Start here

Use one short route to understand the category, then choose the field, protocol, evidence, or argument record you need.

Route/start-here/
OrderField -> Protocol -> Evidence -> Argument
ORIENT
Understand the field
Start with the AI Agent Lifecycle definition and the argument that execution alone is not delivery.
ARGUE
Read the arguments
Follow the essays from real engineering failure boundaries to lifecycle governance and accepted outcomes.
INSPECT
Trace the proof path
See how MPLP, Cognitive OS, SoloCrew, and Validation Lab divide protocol, runtime, delivery, and evidence roles.