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: ProductTalk.org

• Follow Petra Wille: Petra-Wille.com

Mentioned in this episode:

• Teresa's 15 Ways to Use AI at Home (and Fill Your AI Product Toolbox) (producttalk.org/15-ways-to-use-ai-at-home) and 21 Ways to Use AI at Work (And Build Your AI Product Toolbox) (producttalk.org/21-ways-to-use-ai-at-work) 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 (producttalk.org/fomo-all-things-product-podcas…)