Enhance the customer experience
summary
Shows a Flutter app using Firebase AI Logic to call Gemini 2.5 Flash and Imagine models from client Dart code with three lines to instantiate, prompt, and parse JSON output. Demonstrates recommendations, plan-change function calling, and a bidirectional live API for streaming audio/commands. Claims a 1 million token context window (examples: 11 hours audio, 1 hour video), explains App Check, remote config, Cloud Storage and billing/AI monitoring integrations, and shows the demos mostly working.
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chapters (15)
- 0:00Generative AI in apps
- 1:23AI input and output
- 3:10Image models trade-offs
- 4:33Gemini and Vertex AI APIs
- 6:23Firebase AI logic
- 8:32AI in 3 lines of code
- 10:22AI mobile app demo
- 21:09Conversational AI with API
- 25:30AI for customer support
- 27:14Securing AI apps
- 28:40Remote AI model config
- 30:04Large files with Cloud Storage
- 31:07Monitor AI usage and costs
- 32:34Firebase AI logic next steps
- 33:47Q&A pricing and models
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