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How to Set Up Quality Control for an AI Agent Team

The Orbitable Team·AI Agent Practice·16 Jun 2026·6 min read

Quality control for a team of AI marketing agents comes down to three things working together: every agent draws from the same shared context so nothing gets built on a wrong assumption, a routing layer decides who checks whose work, and nothing leaves draft status until a human has marked it up or approved it. Orbitable runs 50 specialist agents across 10 squads plus the Dispatcher, which orchestrates the handoffs between them, and the quality control model is built into that structure rather than bolted on afterwards.

Start with one world model, not one agent

Most quality problems in an agent fleet do not come from a single agent writing badly. They come from two agents disagreeing about the customer. One agent thinks the ICP is mid-market SaaS finance leads, another was briefed on enterprise procurement, and the output contradicts itself before a human even opens the draft.

Orbitable's fix for this is structural: every agent for a given customer shares one world model, meaning the same ICP, the same brand voice, the same product facts, the same list of named competitors, and the same uploaded knowledge base. When content-writer drafts a case study and cro-builder later turns it into a landing page, both are working from identical facts about the company. That is the first quality gate, and it happens before any agent produces a single sentence. It also means a correction compounds: fix a wrong competitor name once in the world model, and every agent that references competitors going forward inherits the fix.

The Dispatcher decides who reviews what, and when

A fleet of 50 agents cannot each work in isolation and hope the outputs line up. The Dispatcher is the orchestrator that sequences work across squads, so that when, for example, seo-strategist produces a keyword brief, it hands off to content-writer in the right order, and when email-marketer builds a nurture sequence that references a case study, that case study already exists because case-study-builder ran earlier in the sequence.

This matters for quality control because sequencing is itself a check. An agent that receives a handoff from another agent is implicitly reviewing that agent's output by using it as an input. If proposal-writer receives pricing detail from pricing-strategist that does not match the plan structure, the mismatch surfaces at the handoff, not three weeks later in a client's inbox.

The markup loop: pins, revisions, approval

Orchestration only gets work into a defensible state. Getting it into a publishable state is a separate step, and that is where the Dock comes in. The Dock is the review surface where a draft sits until someone, whether an internal team member or an external client, marks it up. Markup happens as pins directly on the draft, not as a separate document or a comment thread that drifts out of sync with the content. The reviewer pins a note, sends it back, the relevant agent revises, and the cycle repeats until someone approves the piece into the Library.

The Dock also carries requests with SLA targets, so a request for a revised draft is tracked the same way a support ticket would be, rather than living in someone's memory of a Slack message. And critically, a client reviewing work in the Dock never sees internal team notes. The review surface is scoped to what that person is meant to see, which keeps internal disagreement about a draft from leaking into a client relationship before the team has resolved it.

Reviewing must be free, or people stop reviewing

The most common failure mode in any QC system, human or agent, is that review gets skipped because it is expensive. If every revision pass costs the same as the first draft, teams start approving things they have not actually checked, just to avoid the meter running.

Orbitable's credits only meter production work. Reviewing a draft, pinning a correction, and sending it back for a revision never costs credits. That is a deliberate design choice: it removes the incentive to wave things through. A team on the Founder plan with 3,000 credits a month is not penalised for asking content-writer to redo a paragraph three times before approving it. The only thing that stops when credits run out is new production, not review of what is already sitting in the Dock.

Squad-based QC vs a single-reviewer setup

The difference between routing review through a fleet of specialists and routing everything through one generalist reviewer is mostly about where the bottleneck sits.

DimensionSingle-reviewer setupSquad-based setup (Orbitable)
Who checks the workOne person reviews every output regardless of domainThe next agent in the handoff, plus a human, checks work relevant to their domain
Shared contextReviewer has to be re-briefed on the account each timeEvery agent already shares the same world model for that customer
BottleneckThe reviewer's calendar becomes the queueThe Dispatcher routes work across squads in parallel
Cost of a second passOften billed as additional work or hoursReviewing and revising never costs credits
Where corrections liveComment threads, email, or Slack messages that drift out of syncPins directly on the draft inside the Dock
Client visibilityClient sees whatever gets forwarded to themClient sees only what is shared to the Dock; internal notes stay internal

Where the plan itself gets checked before work starts

Quality control should not start at the draft stage. It should start at the planning stage, because a well-executed plan built on the wrong priority is still a wasted week. Autopilot proposes a weekly plan on paid plans, one focus with three to five missions, each carrying a why-now and an explicit list of what is not being worked on. Autopilot proposes only. Approval happens in the Dock, which means a human decides whether that week's priority is right before a single agent starts producing against it.

The same logic runs through the GTM plan, which is structured as six phases and 26 agent steps rather than one open-ended brief. Because the plan is broken into discrete steps, a reviewer can check the output of step 4 before step 5 depends on it, instead of discovering a wrong assumption after 26 steps have compounded on top of it.

FAQ

Does reviewing an AI agent's draft cost credits?

No. Orbitable's credits meter production work only, so pinning corrections, requesting revisions, and approving a draft in the Dock never draw from the credit balance. Credits pause new production once the month's allocation runs out, but review of existing drafts is unaffected.

Who approves the weekly plan before agents start working?

Autopilot proposes the weekly plan, one focus with three to five missions and a why-now for each, but it only proposes. A human approves that plan in the Dock before any of the missions run, on paid plans.

Can a client review drafts without seeing internal team discussion?

Yes. The Dock is scoped so that a client sees the draft, the pins, and the request queue, while internal team notes stay internal and are never visible on a client-facing seat.

What stops two different agents from contradicting each other?

Every agent working on a given customer shares one world model, meaning the same ICP, brand voice, product facts, and competitor list, and the Dispatcher orchestrates the order in which agents hand work to each other. Contradictions get caught at the handoff rather than after publication.

Which plans include the Dock?

The Dock is included on the Agency and Enterprise plans. On Founder and Team it is available as a $49/mo add-on.

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