How I'm Developing AI Apps in 2025

📋 Summary
Today we're jumping into some tools that are core to my development stack when building out AI applications. We walk through setting up a new project in Trigger.dev, integrating an LLM and Vercel's AI SDK, and creating an effective pipeline for generating text and data. Additionally we jump into using Jina Reader for web scraping and data conversion. Enjoy watching an end-to-end approach to building out a AI flow.

This video isn't sponsored by any of these tools. I'm just a big user of these tools and find them invaluable to building great apps out quickly.

🔗 Show Links:
Trigger.dev: https://trigger.dev/
Deepseek: https://www.deepseek.com/
Vercel AI SDK: https://sdk.vercel.ai/docs/getting-st...
OpenAI Tokenizer: https://platform.openai.com/tokenizer

🙌 Support the Channel (affiliate links for things I use!)
Wispr Flow 🎤 - easy voice to text app: https://ref.flowvoice.ai/stablediscus...
Eleven Labs 🗣️ - excellent AI voice creations: https://try.elevenlabs.io/s2tuo44b42lb
Descript 🎬 - amazing AI video editing platform: https://get.descript.com/jg1jj002uhbs
Warp 🌀 - great replacement terminal: https://app.warp.dev/referral/84Z5R3

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🚩 Chapters
00:00 Introduction and Overview
01:10 Setting Up Trigger.dev
03:01 Integrating Deep Seek AI
04:50 Switching to OpenAI
06:09 Building the Company Researcher
10:33 Implementing Jina Reader AI
14:43 Final Integration and Testing
24:23 Conclusion and Resources