AI-Shaped Problems

Think you don't have big enough problems for AI to help with? Think again.

In this episode, Petra and Teresa tackle one of the most common blockers people face when starting out with AI: not knowing where to begin. It's not a lack of problems — it's a lack of exposure. Teresa shares the daily habit that took her from feeling behind to using AI every single day, and why starting small (and terrible) is exactly the right approach.

They also dig into the noise problem: why you don't need MCP servers, plugins, or the latest AI app to get real value, and how focusing on a specific task is the fastest path to learning what AI is actually good at.

If you've been waiting for the "right" moment to start, this episode is your nudge.

One of the most common things Petra hears from her coaching clients: "I don't have big enough problems to use AI for." Teresa's take? That's not the problem. The real blocker is that you don't know what AI is good at until you start using it — and you can't start using it well until you know what it's good at.

In this episode, Petra and Teresa share how to break out of that loop.