Verify the knowledge source
Identify provenance, relevance, audience and the decision the material should enable.
The system is designed so a weak AI model can execute the workflow without inventing the process, skipping quality gates or declaring work complete without a physical result.
A state changes only after its Definition of Done and read-back are satisfied.
Identify provenance, relevance, audience and the decision the material should enable.
Create the primary explanation with claims, structure, CTA hypothesis and versioned inputs.
Produce original visuals that clarify the mechanism and adapt to distribution formats.
Create the draft, metadata, internal route and physical read-back before review.
Publish social variants linked to a deliberate article destination and distribution receipt.
Capture CTA and route evidence, then keep, revise or roll back the tested change.
Every transition stores the same minimum operating contract. This converts a description of work into an executable production line.
Transformation, routing, formatting, validation, monitoring and low-risk variants inside an approved contract.
Strategic positioning, material promises, public offers, sensitive data and irreversible distribution actions.
State, idempotency, retry, timeout, rollback and the prohibition on calling status a result.
See how context logic, AI orchestration, analytics and Azure fit together.