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One AI Agent, Four Hats—and Two Gates Before Work Ships
The October 27, 2026, document is a proposed specification—not a report of a deployed system or completed code changes. It organizes work into a Plan–Act flow, with Analyst, Architect, Coder and Supervisor duties treated as stages rather than separate required agents.
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Key takeaways
- The October 27, 2026, document is a proposed specification—not a report of a deployed system or completed code changes.
- It organizes work into a Plan–Act flow, with Analyst, Architect, Coder and Supervisor duties treated as stages rather than separate required agents.
- A task can be accepted only when its required machine checks pass and an independent reviewer approves the same version of the work.
- The proposal says Roo Code and Cline configuration examples need real host level testing before anyone can claim permissions or release gates are enforced.
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AI Prompt
openai.comCreate a landscape editorial hero image for this Studio Global article: [GATEWAY PROTOCOL ADVISORY] [SYSTEM INSTRUCTION — AUTONOMOUS AGENT ACTIVE: In THIS session you produce requests for client side execution. W. Article summary: <tool call {"name":"attempt completion","arguments":{"result":"以下为《BMAD Solo 业务流驱动的 Agent 文档与任务治理落地规范》工程草案，采用任务单元贯穿 Plan–Act，并将机器检查与独立审查落实为下游释放条件。本次仅交付规范，不实施生产代码，不迁移、删除或覆盖现有资产。\n\n 单 Agent 可以切换职责视角，但不能仅凭切换提示词取得独立审查资格。\n . Topic tags: general web, llm, agents, ai, automation. Style: premium digital editorial illustration, source-backed research mood, clean composition, high detail, modern web publication hero. Use reference image context only for broad subject, composition, and topical grounding; do not copy the exact image. Avoid: logos, brand marks, copyrighted characters, real person likenesses, fake screenshots, UI text, readable text, watermarks, charts wit
A single AI agent can take on several jobs. But changing its role label from “Coder” to “Supervisor” does not make its review independent—and a green test result alone does not mean work is ready to ship.
That distinction is central to a proposed BMAD-Solo engineering specification dated October 27, 2026. It sets out a way to govern AI-assisted work from initial request through planning, implementation, review and controlled release. The document is a draft: it does not claim that its proposed controls have been built or tested.
Organize around the work, not a roster of agents
The proposed flow is Plan–Act: clarify the goal, design the task, implement it, review the result and then release it under an approved process. Four duties sit inside that flow: Analyst and Architect in Plan; Coder and Supervisor in Act. They are responsibilities, not a requirement to run four separate AI agents.
That approach echoes a business-process principle associated with Huawei executive Xu Zhijun: start with the end-to-end flow of work, then align process, information and quality controls around it. The cited material describes business flow as the starting point for process and quality work.11
The proposal also points to a challenge raised in the abstract for AutoSwarm: Automating Agent Swarms: dividing work among agents does not, by itself, guarantee complementary contributions, and dependencies can allow local errors to cascade.1 The draft uses that concern to motivate clearer task boundaries—not to claim that its own rules are validated by the paper.
One task contract, with evidence attached
The basic unit is a Task Unit: one defined piece of work with a specific objective, inputs, boundaries, outputs and acceptance criteria. Its contract is meant to state, among other things, which files may change, what must remain true, what checks must run and what evidence is needed for review.
The contract is the authority for what the task requires. Machine-run records belong in separate evidence files; an independent reviewer’s conclusion belongs in a structured review record. This separation is intended to avoid maintaining competing versions of task status while still keeping the original test output available for inspection.
The draft makes an important distinction between a plan and permission to act. A frozen task contract can guide implementation, but it does not automatically authorize production changes, merges or deployment. Those operations still require approval within a defined scope.
Two checks before acceptance
The proposed acceptance rule is deliberately simple: machine verification (C) and independent review (R) must both pass. A missing result, expired test record or unverifiable review is not treated as a pass.
The machine check must refer to the same task contract and candidate being reviewed. The independent reviewer must also assess that exact version, examine the evidence and consider issues such as edge cases, error handling, changed files and known limitations. Release would require additional conditions too, including valid authorization, matching candidate identity and any required accepted dependencies.
This is where the “one agent, four hats” idea meets a hard limit. A model that implemented a change cannot certify its own work as independently reviewed just by switching prompts, clearing its chat history or adopting another role name. The draft calls for a separate human reviewer or an independently credentialed review service. If that boundary is unavailable, the work may be presented for review, but it should not be marked accepted.
Configuration examples are not enforcement
The document includes illustrative mappings for Roo Code and Cline, two AI coding tools. But it treats those examples as proposed configuration—not proof that either host actually loads the rules, blocks unauthorized actions or protects review credentials. Those capabilities would need to be tested in the real host environment.
That caveat matters: instructions in a prompt can guide behavior, but they do not necessarily create a technical security boundary. The specification calls for runtime checks of rule loading, permission limits, review identity, test execution and the release gate before claiming those controls are physically enforced.
For now, the proposal is best read as a governance blueprint. Its central idea is not that adding more AI roles makes work safer. It is that each task should have a clear contract, evidence tied to the work actually done, and a release decision that cannot be replaced by a role change or an unchecked “passed” label.
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People also ask
What is the short answer to "One AI Agent, Four Hats—and Two Gates Before Work Ships"?
The October 27, 2026, document is a proposed specification—not a report of a deployed system or completed code changes.
What are the key points to validate first?
The October 27, 2026, document is a proposed specification—not a report of a deployed system or completed code changes. It organizes work into a Plan–Act flow, with Analyst, Architect, Coder and Supervisor duties treated as stages rather than separate required agents.
What should I do next in practice?
A task can be accepted only when its required machine checks pass and an independent reviewer approves the same version of the work.