APIs are no longer just about CRUD operations; they need to be intelligent. With Genkit Dart (Google’s full-stack AI framework) and Dart Frog, you can now build powerful, production-ready AI-enabled APIs entirely in Dart.

In this session, we’ll explore how to combine Dart Frog’s lightweight routing and middleware with Genkit Dart’s flows, tools, structured output, and agentic capabilities to create smart backends.

Through live coding, we’ll build a practical, intelligent API smart content service that demonstrates:
1. Setting up a clean Dart Frog backend with proper architecture and observability
2. Integrating Genkit Dart to add AI flows, tool calling, memory, and lightweight agents
3. Exposing secure, well-documented REST endpoints that consume and serve AI-generated content
4. Best practices for prompt engineering, cost control, error handling, and security when building AI-powered APIs
5. Deployment strategies suitable for African infrastructure

This approach gives Flutter/Dart developers full control over their backend while making it easy to add sophisticated AI features without leaving the Dart ecosystem.

The talk draws from my full Dart Frog course and recent deep dives into Genkit Dart on my YouTube channel (@techwithsam).

Key Takeaways
1. Structure scalable and maintainable APIs using Dart Frog with clean routing, middleware, and dependency injection.
2. Integrate Genkit Dart to add powerful AI capabilities (flows, tool calling, and agents) directly into your backend.
3. Build intelligent API endpoints that safely handle generative AI, structured outputs, and agentic workflows.
4. Apply real-world best practices for observability, security, and cost management when working with AI-powered APIs in production.