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.
What is The Learning Curve?
The Learning Curve is Flexion’s podcast about navigating change in complex systems — one decision at a time. Each episode explores how organizations can harness technologies like AI not just to follow trends, but to drive measurable impact.
In this season, we’re exploring:
-How real teams are building trust and transparency with AI
-The practical realities of enterprise AI adoption
-Lessons learned from Flexion’s own journey, experimenting with and scaling AI
This isn’t hype. It’s an inside look at the mindset, structure, and strategy needed to lead in an era of continuous change.