Empowering Your Flutter Apps with AI
summary
Company workflow shifts to shipping AI features from Flutter clients using Firebase AI Logic as a secure middleware to Gemini models so no API key lives in the app, with Gemini Flash chosen for fast smartwatch responses and larger Gemini variants for web. Prototype tooling (Firebase Studio, Bolt) accelerates bootstraps; IDE helpers (Cursor) speed iteration. Function calling, RAG with vector DBs, fine‑tuning and prompt engineering reduce hallucinations. Streaming chat via Gemini Live (≈50 lines) proves practical for audio/text.
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chapters (8)
- 0:00AI in Flutter apps
- 2:13AI landscape for Flutter
- 7:11Developer role with AI tools
- 11:07Mobile apps with AI
- 16:30Firebase AI logic
- 23:02AI integration best practices
- 27:09Connecting tools to LLMs
- 31:03Conclusions for AI in Flutter
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