Use AI language carefully
The product can describe assisted workflows, but every public claim must remain tied to implemented evidence, not vague magic.
Keep digitizing decisions inspectable
The engine records planning and gate information so operators can see why a run is software-ready or blocked.
Escalate instead of hiding uncertainty
When automated output is not safe, the UI and APIs preserve manual-review status instead of presenting risky artifacts as finished.
Current state
The hosted worker is live for synthetic and supported artwork paths. Future AI advisory features should be added only with evidence-backed prompts, logs, and acceptance criteria.
The honest claim
AI-assisted digitizing can help prepare files, but it cannot replace physical sewout approval or operator judgment for production use.
Operator questions
What this page can honestly claim
Is DigitizingFlow fully AI-driven today?
No. The active hosted path is a principle-driven automation pipeline with explicit evidence gates. AI advisory hooks are configured but not the basis for production claims.
Why not call every output production-ready?
Fabric, stabilizer, thread, hooping, and machine behavior must be verified physically before production approval is honest.
Next step
Run the workflow with the production boundary visible.
Queue artwork, inspect generated evidence, and keep physical sewout approval separate from software readiness.