Building Agentic AI Workflows with Matthew Henage - JSJ 678
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Building Agentic AI Workflows with Matthew Henage - JSJ 678
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We kicked things off with Matthew sharing how he’s been riding the AI wave since GPT-3.5 blew his mind. His platform WoWs is all about making it easy for developers to build powerful web apps with embedded AI workflows — think of it like Zapier meets ChatGPT, but with agents working together instead of API chains.
One of the most eye-opening parts of our chat was learning about agent swarms — essentially teams of specialized AI agents that collaborate to perform complex tasks. Instead of relying on one giant AI brain to do everything, you create smaller, purpose-built AIs that handle specific steps in a workflow. It’s scalable, smarter, and kind of like assembling your dream dev team… but all made of code.
Matthew’s Speak Magic project is a jaw-dropper. It uses a swarm of over 40 agents to turn a single story idea into a fully animated, two-minute video — complete with scenes, scripts, character animations, music, and more. It’s AI storytelling on steroids.
We also talked a lot about:
- Best practices for building reliable AI workflows
- The importance of keeping context windows small (under 4,000 tokens works best!)
- How prompt engineering is becoming the new programming
- Using AI for vibe coding (yes, that’s a thing) and rapid prototyping
- The tradeoffs between using traditional programming vs. letting AI handle logic
- Ethical considerations and how to handle memory and privacy in long-running user interactions
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