Dify vs custom AI workflows

Dify is strong for AI app and workflow prototyping. Custom software is stronger when the AI workflow must become a product surface, integrate deeply with existing systems, or follow strict operational controls.

Human review by default

For sensitive AI workflows, the system should show source evidence, confidence, suggested actions, and an approval path before anything important is sent or changed.

Source citations
Confidence and fallback handling
Approval history
Logging for AI actions

Production-minded delivery

A useful AI sprint is not a prompt demo. It needs data boundaries, user roles, retries, monitoring, security assumptions, and a clear path to integration.

Data-source definition
Role-based access assumptions
API and model-provider assumptions
Deployment notes