Building Agentic AI Workflows with Matthew Henage - JSJ 678

Building Agentic AI Workflows with Matthew Henage - JSJ 678

In this episode, we sat down with full-stack developer and AI innovator Matthew Henage, creator of WAOS.ai (Web App Operating System) and the incredible storytelling platform SpeakMagic.ai. This conversation took us deep into the world of agentic AI, low-code app building, and the future of intelligent workflows.

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
Check out Matthew’s work at WAOS.ai and speakmagic.ai — and as always, stay curious and keep building!

Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

Episoder(738)

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In this episode of JavaScript Jabber, I sat down with Matteo Collina—chair of the Node.js project and founder of Platformatic—for a deep, no-fluff conversation about Node.js performance in the real wo...

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TanStack Start, AI, and the Future of Frontend Architecture - JSJ 701

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It’s great to be back behind the mic! In this episode of JavaScript Jabber, I’m joined by Dan Shapir and our guest Jack Harrington from Netlify and TanStack for a wide-ranging, high-energy conversatio...

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What’s New in React 19.2: Compiler, Activity, and the Future of Async React - JSJ 700

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In this episode of JavaScript Jabber, I sat down with Shruti Kapoor, independent content creator and longtime React educator, to dig into what’s actually new — and worth getting excited about — in Rea...

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Can You Really Trust AI-Generated Code? - JSJ 699

AI is writing more of our code than ever before—but should we actually trust it? In this episode of JavaScript Jabber, I sat down with Itamar Friedman from Qodo (formerly Quoto) to dig into one of the...

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The Real State of Tech Hiring: AI, Ghosting, and the Developer Drought - JSJ 698

The Real State of Tech Hiring: AI, Ghosting, and the Developer Drought - JSJ 698

In this episode of JavaScript Jabber, Steve Edwards and I kick things off by catching up on life — from winter weather and marathon training to health journeys, CrossFit, and some behind-the-scenes pe...

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In this episode, I sit down with developer and speaker Sagi Carmel to dive deep into Astro, why it’s gaining so much traction, and how it compares to frameworks like Next.js, Nuxt, Remix, and SvelteKi...

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The Truth About AI in Everyday JavaScript Development - JSJ 696

It feels great to finally be back on the mic after a stretch of travel, work, and general chaos, and in this episode we’re diving into a topic that’s been coming up more and more in everyday developer...

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