This teardown explains a public method I use to route AI-supported work through clear roles and source material. It keeps working records, checks, handoffs, and final human review visible.
AI-assisted work often needs different kinds of help. It may need research, synthesis, and coding. It may also need review and handoff. The same helper should not carry every step at the same level of effort.
Exploration, implementation, review, and final reporting can collapse into one long exchange. The workflow needs to name each role and review step.
The protocol uses Think path, Build path, and Safe Lane routing. Each route defines the work type, helper roles, review bar, and handoff record.
The method makes the final owner check source use, file changes, commands, and test results. It also names risks and next steps before calling the work complete.
Explorer maps source material. Analyst structures tradeoffs. Worker changes files. Reviewer checks correctness, completeness, and risk.
Specialist agents can help with evidence and review, but the final judgment stays with the main owner of the work.
The handoff names source material, changed files, commands, and test results. It also names open questions and remaining risk.
The protocol treats AI output as draft work until the owner checks it. Stronger work gets stronger review: source fidelity, quality, completeness, security, regression, or decision quality.
The method became a reusable work pattern for larger research, writing, implementation, and release tasks. It now supports explicit goals, durable plans, and review gates.
The route cannot decide business risk by itself. A person still decides whether a task is worth doing. A person also decides whether the evidence is strong enough and the result is ready.
