In this episode of Learning Curve, we cut through the AI hype to explore how AI agents and large language models are actually being used in day-to-day workflows at Flexion. Matt Sharp and Holly Fake sit down with Kevin Varga to talk about the real transition from limited AI use to multi-agent systems that support productivity, experimentation, and creative problem solving.

We cover practical AI use cases, what AI agents are genuinely good at, where they still struggle, and what remains weird or surprisingly delightful. Kevin shares how he builds and evaluates AI agents, how different tools perform in different contexts, and how cognitive offloading can change the way teams work. From professional workflows to supercharging tabletop gaming as a dungeon master, this conversation explores real world ai beyond the buzzwords.

If you’re curious about integrating AI into your daily workflow, understanding multi-agent approaches, or learning how teams are using large language models in practice, this episode offers grounded insights you can actually apply. Subscribe to Learning Curve for honest conversations about practical AI, human-centered design, and building technology people actually want to use.