Build a Multimodal Agent

That Sees, Hears & Talks Back

Multimodal AI — systems that can understand and respond through text, images, and voice — is redefining how we interact with technology. In this lab, we’ll show how to build a multimodal agent that seamlessly blends language, vision, and voice inputs — and also speaks back — creating a fully natural human-AI conversation flow.

✅ What You’ll Learn

What true multimodal AI means — and why you can’t ignore it
How to architect agents that blend language, vision, and voice inputs/outputs
The must-have tools: vision models, speech-to-text, text-to-speech, and orchestration frameworks
Real-world use cases across support, healthcare, education, and retail
Why voice response is the next big leap in natural, human-like AI

🚀 Live Demo

👁️ See — Analyze a screenshot of an error
🎙️ Hear — Understand a voice message describing the issue
💬 Chat — Ask clarifying questions in real time
🗣️ Talk Back — Deliver the solution using AI-generated speech

👥 Who Should Attend

Developers & ML engineers adding voice/vision to AI
Product & CX leads rethinking support with agents
Business leaders automating workflows with AI

Ready to slash development time and ship your next AI idea lightning-fast?

→ Save my seat now

Omar Shanti

CTO @ HatchWorks AI

Omar Shanti, the new Chief Technology Officer at HatchWorks AI, is an award-winning innovator with extensive experience in AI, data architecture, and pioneering technology. With a strong background from Kin + Carta, Omar has led groundbreaking projects in Generative AI, MLOps, and Blockchain. At HatchWorks AI, he will drive the Generative-Driven Development™ methodology, focusing on AI-native solutions that enhance software development, boost operational efficiency, and unlock new revenue opportunities for clients.

Matt Paige

VP Strategy @ HatchWorks AI

Matt Paige is VP of Strategy & Marketing at HatchWorks AI, where he leads go-to-market strategy, education, and community around AI-native software. As host of the Talking AI podcast and founder of HatchWorks AI Labs, he’s known for turning complex AI concepts into practical playbooks. With a background in business strategy and a passion for hands-on training, Matt helps teams—from startups to enterprises—build real capability in the age of intelligent software.

David Berrio

Sr. AI/ML Engineer @ HatchWorks AI

David Berrio is a seasoned professional in AI and Data Science with extensive expertise in developing and deploying machine learning algorithms, leveraging a strong command of MLOps and Microservices. His career features significant experience in Computer Vision, Machine Learning, Azure Cloud, and state-of-the-art Deep Learning Architectures. A lifelong learner, David is always at the forefront of technology. He believes in the power of knowledge to drive innovation and deliver impactful solutions, guiding his professional endeavors.

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