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Workflow graphs coordinate steps. JacqOS computes shared reality, proves transitions, and keeps authority explicit.
Where this approach helps
Graphs are useful when the main job is orchestrating a known sequence of tool calls.
Teams can stand up directed flows fast when correctness and replay requirements are relatively soft.
Where it breaks down
State carried between nodes becomes the thing you must reason about manually.
A graph does not prove that the resulting real-world action is valid under domain invariants.
Adding agents or branching logic often means redesigning graph structure instead of extending shared truth.
What JacqOS changes
The core difference is not cosmetic. JacqOS changes the system's authority model so the LLM can participate without becoming the unbounded driver of truth and action.
Any workflow-like view is a read model over observations, facts, intents, and effects.
JacqOS checks the proposed state transition against invariants before any effect can execute.
New agents query the same worldview instead of requiring graph rewrites across existing ones.
You mainly need orchestrated tool flows and can tolerate safety being an application-level concern.
The expensive problem is keeping real-world actions, approvals, and shared truth inside a provable boundary.
A high-stakes example where shared reality matters more than graph orchestration.
Explore → Related path Multi-Agent PatternsSee how JacqOS coordinates through the derived model.
Explore → Related path Why JacqOSRead the broader argument for the observation-first boundary.
Explore →Next step
Category language is useful, but conviction usually comes from a specific example or evaluation path. Take the comparison into something inspectable.
