Modern AI workflows are breaking because teams keep building directly around models.

New model → new SDK → new integrations → more complexity.

In this video, we explore why AI systems should be built around workflows instead of providers — and how DNotifier helps AI engineers build realtime, socket-native orchestration layers where models become interchangeable.

The new way to implement AI APIs is to use a provider like DNOTIFIER to build AI Agents or AI Workflows. Even if you are doing AI Orchestration still you need a similar platform.
Because on scale, you cant keep changing the code all the time. It should be through simple clicks and providers like DNOTIFIER make it easy for you.

Keep switching models as per your needs and your application still works like always with zero downtime.

Topics covered:

• AI workflow orchestration
• Multi-model architecture
• Realtime AI systems
• Socket-native communication
• Vendor lock-in problems
• AI infrastructure design
• Event-driven AI workflows
• Multi-agent communication
• Streaming AI responses

DNotifier:
https://dnotifier.com

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