Orchestrator Loops and Multi-Agent Workflows
Use orchestrator loops and specialist agents when work really needs planning, handoffs, review, and controlled write authority.
What This Guide Is For
Orchestrator loops are useful when one AI pass is the wrong shape for the job. A planner may need to split work, a specialist may need to investigate, another agent may need to implement, and a separate reviewer may need to challenge the result.
They are wasteful when the task is small enough for one clear prompt and one review.
Freshness note: Subagents, dynamic workflows, fleet modes, and orchestrated agent features are evolving quickly across coding and workflow platforms. This guide was reviewed against official product docs on June 20, 2026.
Keep The Orchestrator Boring
The orchestrator should not be the cleverest agent in the room. Its job is to:
- understand the goal
- split work into bounded tasks
- assign the right specialist
- keep state visible
- decide when to stop
- route risky actions to human approval
- produce a reviewable final packet
If the orchestrator also edits everything, reviews everything, and approves everything, you have one overpowered agent with extra ceremony.
When To Use An Orchestrator Loop
Use one when the work has real coordination cost:
- investigation and implementation should be separate
- multiple files or systems need different expertise
- the task needs repeated check-review-fix passes
- a scheduled routine needs triage before action
- a workflow crosses code, docs, tickets, and workspace records
- you need a clear audit trail of who did what
Skip it when:
- the task is one small code change
- the next action is obvious
- review can happen manually in a few minutes
- the agents would all edit the same files
- nobody can explain the stop condition
Common Loop Shapes
Planner, Implementer, Reviewer
Use this for coding work. The planner scopes the task, the implementer changes code, and the reviewer looks for bugs, regressions, test gaps, and scope drift.
This is the default pattern for high-risk AI-generated PRs.
Researcher, Drafter, Editor
Use this for knowledge work. The researcher gathers evidence, the drafter creates the first pass, and the editor checks clarity, unsupported claims, and missing caveats.
This is useful for policy updates, documentation, market briefs, and internal writeups.
Monitor, Triage, Draft Action
Use this for routines. The monitor watches for a signal, the triage step decides whether it matters, and the action step drafts a PR, ticket, comment, or workspace update.
This keeps scheduled agents from turning every tiny change into work.
Router And Specialists
Use this when different task types need different agents. A router can choose a frontend agent, backend agent, security reviewer, documentation maintainer, or operations assistant.
This only works when each specialist has a narrow job and a clear permission boundary.
The Orchestrator Contract
Before using multiple agents, define:
- task objective
- available specialist roles
- what each role may read
- what each role may write
- handoff format
- validation commands or evidence requirements
- approval boundary
- stop condition
The contract matters more than the tool label.
A Handoff Packet Template
Role:
<planner, implementer, reviewer, researcher, drafter, editor, monitor, triage, or specialist>
Task:
<one bounded outcome>
Context:
<files, links, records, or prior findings>
Non-goals:
<what this role must not do>
Allowed actions:
<read-only, draft-only, comment-only, branch-only, or write-after-approval>
Evidence required:
<tests, commands, citations, screenshots, logs, or diff summary>
Return:
<exact handoff format for the next agent or human>
Stop and ask if:
<risk, ambiguity, missing permission, or conflicting evidence>Role Permissions
Keep write access narrower than read access.
| Role | Good default authority |
|---|---|
| Planner | read and draft plan |
| Researcher | read and cite evidence |
| Implementer | branch or draft PR only |
| Reviewer | read diff and comment |
| Monitor | read and report |
| Triage | classify and recommend |
| Router | assign, not edit |
| Human owner | approve, merge, publish, or disable |
The human owner is still part of the system. Removing them from the loop is a product decision, not a prompt improvement.
Dynamic Workflows Need Stop Conditions
Dynamic workflows are attractive because the system can decide the next step. That is also the risk.
Set stop conditions such as:
- maximum number of review-fix loops
- maximum files touched
- maximum runtime or budget
- no writeback without approval
- stop on conflicting evidence
- stop on missing tests
- stop on secrets, auth, billing, deployment, schema, or destructive commands
An agent that can always invent one more step will eventually do exactly that.
Common Mistakes
- using multiple agents because it sounds advanced
- letting every specialist edit the same area
- hiding the handoff state inside chat history
- allowing the reviewer to approve its own fixes
- skipping deterministic checks because an agent summary sounds confident
- forgetting who owns the final decision
Good orchestration should make complex work easier to inspect. If it makes the work harder to explain, simplify the loop.