In the last few years, the pace of AI innovation has exploded, but the next leap isn’t just about better text generation.
It’s about multimodal AI: systems that understand and combine multiple kinds of input like text, images, audio, video, and structured data.
That means smarter support agents, faster content analysis, and better decision-making across the board.
I’ve been tracking this closely and using multimodal tools in workflows that used to be slow, error-prone, or outright impossible.
In this guide, I’m going to walk you through what multimodal AI actually is, how it’s built, where it works best (and where it still fails), and how to start using it, even if you’re not a machine learning engineer.
Continue reading “Multimodal AI Guide: How It Works, Why It Matters, and How to Use It Today”