Legendary working session with Nico Albanese, a member of the Vercel AI SDK team where we go deeper on structured extraction, validation, generative UI, and more goodies in the AI SDK.
⚡️ In this technical deep dive, we cover:
- Vercel AI SDK Overview
- Structured Extraction
- Generative UI
- Zod Schemas, Validation, and more
💡 Expert Panel:
- Nico Albanese developer advocate at Vercel
🔗 Essential Resources:
- Vercel AI SDK: https://sdk.vercel.ai/docs/introduction
https://www.rayfernando.ai/ai-sdk-ultimate-guide-to-building-ai-powered-nextjs-applications
🕒 Key moments
00:00 Legendary show with AI SDK
00:50 AI SDK unlocks exceptional user experiences
01:10 AI SDK features: structured execution, generative UI, Zod schemas
02:30 Walking through code and slides on building AI apps
03:20 Building small projects to understand the AI SDK
06:45 Vercel, Next.js, and the AI SDK's creation
09:00 AI SDK provides a unified API for language models
11:45 Introduction to language models and prompt engineering
15:15 Starting to code and build with AI SDK
17:40 Terminal programs calling language models programmatically
21:45 Testing different models (GPT-4 Mini vs. GPT-4)
27:30 Exploring Invisible AI features and improvements
31:50 Improving existing apps with AI
34:50 Generate object function and Zod schemas
39:35 Adding new features with Zod schemas
46:45 Summarizing comment threads
56:55 Building a chatbot
1:17:00 Using useChat hook for building chat interfaces
01:25:00 System instructions for chatbot behavior
01:37:30 Function calling (tools) for external data access
01:50:00 Generative UI creating interactive components
02:00:00 Chatbot template showcase
02:06:00 Route handlers vs. server actions explained
02:07:30 Server actions implementation shown
02:08:40 Use object documentation review
02:09:11 Edge runtime considerations
02:10:00 Simplifying large tasks for AI
02:11:34 Zod schema considerations
02:20:00 Ray Transcribes app launch
02:22:46 Closing remarks and resources