AI-Shaped Problems

What you'll hear:

• The daily habit Teresa used to go from feeling behind to using AI confidently every day
• Why starting with terrible results is actually the point
• How to filter out the noise (MCP servers, plugins, new apps) and stay focused on what matters
• Why finding community — whether that's show-and-tell sessions, YouTube, or local meetups — accelerates learning faster than any tool
• A simple first prompt for anyone who doesn't know where to start

Key takeaway:
If you have a to-do list, you have problems AI can help with. Start with one. Give it 15 minutes. It'll probably be bad — and that's exactly right.

Timestamps
00:00 Intro — are people's problems too small for AI?
02:15 Teresa's daily habit: test one to-do item with AI every day
06:40 The "feeling behind" problem — and why everyone feels that way
09:00 Petra's time-boxing approach vs. Teresa's task-first approach
11:30 Blog posts and show-and-tell: how community builds momentum
15:45 You don't need MCP servers or Claude Code to get started
19:10 Bias toward action: just type "I have to do this — how can you help?"
22:00 Petra's MidJourney story — iterating from terrible to good
23:30 Wrap-up: 15 minutes a day, just play

Resources & Links:

• Follow Teresa Torres: https://ProductTalk.org
• Follow Petra Wille: https://Petra-Wille.com

Mentioned in this episode:

• Teresa's 15 Ways to Use AI at Home (and Fill Your AI Product Toolbox) and 21 Ways to Use AI at Work (And Build Your AI Product Toolbox) blog posts
• Teresa hosts monthly Claude Code: Show and Tell for her Supporting Members and CDH Members. Sign up at ProductTalk.org
• Previous episode: FOMO - All Things Product Podcast with Teresa Torres & Petra Wille