How AI Agents Avoid Contradicting Each Other
Orbitable's 50 specialist agents do not negotiate with each other, vote on facts, or check each other's drafts before publishing. Every agent reads from one shared world model per customer, a single record of ICP, brand voice, products, competitors and uploaded knowledge, so there is only one version of the truth available to contradict in the first place.
The coordination problem this replaces
Most multi-agent setups solve consistency the hard way. Each agent gets its own system prompt, its own copy of the brand facts, its own snapshot of who the ICP is. Someone updates the ICP for the sales agents but not the content agents. Six weeks later, one squad is writing for a 50-person SaaS company and another is writing for a 500-person enterprise, and nobody notices until a client asks why the message is inconsistent across two documents.
That is a fact-synchronisation problem, not a reasoning problem. You can add more review steps, more cross-checking prompts, more "does this contradict the last output" passes, and you are still patching the symptom. The agents disagree because they are working from different, ageing copies of the same information.
What actually lives in the world model
Orbitable's world model is not a prompt trick. It is a per-customer record that holds:
- The ICP and target segments
- Brand voice and tone guidance
- Product and pricing facts
- Named competitors
- An uploaded knowledge base of the customer's own documents
Every one of the 50 agents across the 10 squads, whether it is writing a blog post, building a sales sequence, or drafting a positioning document, pulls from this same record when it runs. There is no separate copy sitting inside an individual agent's configuration that can drift out of sync with the others.
Where the Dispatcher fits, and where it does not
The Dispatcher orchestrates the fleet. It is the routing layer that decides which of the 50 specialists (plus supporting playbooks, schedules, and the 6-phase, 26-step GTM plan) a given task should go to. It is worth being precise here: the Dispatcher is the orchestrator, not a 51st specialist agent, and it is not a fact-checker either.
That distinction matters because it explains why consistency does not depend on the Dispatcher catching contradictions after the fact. It routes work to the right agent; it does not need to reconcile competing versions of who the customer's ICP is, because there is only one version to route.
Why this also stops duplicated work
Shared context solves a second problem alongside contradiction: agents re-deriving the same groundwork. If a research task establishes a competitor's positioning or a customer pain point, that finding lives in the world model, not buried in one agent's private output. The next agent that touches the account, in a different squad, on a different day, inherits it automatically rather than starting from zero.
This is the specific claim worth being direct about: work by one agent compounds for every other agent, because they are drawing on the same growing record rather than 50 separate, siloed memories.
Isolated agents versus one shared world model
Where this can still go wrong
A shared world model does not make the fleet infallible, and it is worth naming the failure mode honestly rather than pretending it disappears. If the world model itself is stale or wrong (an old ICP, a competitor that has repositioned, a pricing fact nobody updated), every agent inherits that same error at once. You trade 50 potentially conflicting mistakes for one consistent mistake repeated 50 times.
That is a real trade-off, not a non-issue. It means the discipline shifts: instead of chasing down which agent said what, you maintain one record. If you never update the ICP, brand voice, or competitor list after the initial setup, consistency will not save you from working off outdated assumptions. Consistency and correctness are different properties, and this architecture only guarantees the first one directly.
FAQ
What is a "world model" in Orbitable's architecture?
It is a single per-customer record containing the ICP, brand voice, product and pricing facts, named competitors, and an uploaded knowledge base. All 50 specialist agents read from this same record rather than holding separate copies of the same information.
Does the Dispatcher check agents' outputs for conflicts?
No. The Dispatcher is the orchestrator that routes tasks to the right specialist agent across the 10 squads; it is not a reviewer and does not reconcile disagreements between agents. Consistency comes from shared input, not from checking outputs after the fact.
What happens if the ICP or brand voice changes partway through a project?
You update the world model once, and every agent picks up the new version the next time it runs. There is no need to re-brief individual agents separately, because none of them hold a private copy of the old facts.
Can different clients or teams have separate world models?
Yes. Plans set how many worlds you can run: Founder includes 1 world, Team includes 5, and Agency includes 25, each with its own isolated ICP, brand voice, and knowledge base. This is how an agency keeps client accounts from bleeding into each other while still using the same 50-agent fleet.
Does sharing one world model make every agent's output identical?
No. Each of the 50 agents still applies its own specialist methodology, whether that is content writing, sales outreach, or positioning strategy. What is shared is the underlying facts they work from, not the way each agent reasons or the format it produces.