AI-Shaped Problems
Show notes
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
Show transcript
00:00:03: Hi, folks.
00:00:04: This is all
00:00:05: things
00:00:06: product with Petra Wille
00:00:07: and Theresa Kors
00:00:09: And we're so happy.
00:00:10: you here Teresa.
00:00:17: a few weeks back We recorded in an episode how you and I go about learning?
00:00:23: All Things.
00:00:24: AI and i was talking About my time boxing approach and You were Talking about your.
00:00:32: I just use it to solve Challenges and Problems and Tasks that I'm Having And ever since I'm carrying this around in conversations with my coaches and what I am realizing, that would like to hear your thoughts about it is people who are not Teresa Torres seem...to have too small problems maybe?
00:01:01: To really create meaningful change with AI or not enough inspiration What they could use AI for.
00:01:11: so that is a lot of the conversation That I'm having there.
00:01:14: They try to inspire them to think bigger when it comes to what things they could try AI support for.
00:01:22: So any thoughts on that?
00:01:25: Yeah, I don't think The problem is that they don't have enough big enough problems learning curve here, right?
00:01:37: So how do you don't know what to use AI for until You Know What AI is good at and like How To Use AI?
00:01:45: so there's a little bit of Like A chicken in an egg problem.
00:01:48: I can share with.
00:01:49: i did it And then I Can also Share how I'm trying to help other people.
00:01:53: yeah this exact same Problem.
00:01:55: so the first thing that I Did Was I just started to build a daily habit Where I tried to pick one Thing That I had to Do In my Job Every single day pick one thing that I had to do in my job and try To see if AI is good at it.
00:02:13: So, I literally like okay?
00:02:15: I have ten things on my to-do list today.
00:02:17: This is the one i'm gonna Have ai take a cut out And sometimes Ai was good at It and I Was pleasantly surprised.
00:02:24: A lot of times Ai was awful At it But then it became this exercise Of Like Okay Well how can I help The Ai be better at it?
00:02:32: and that's what drives the learning, right?
00:02:34: Like I'm just experimenting.
00:02:36: I'm trying a lot of things.
00:02:37: I am testing the boundaries of What is it good at And what does not get out and honestly after doing like five times i started to see oh this Is The type Of thing ai' s Good at an all share even on A year-and-a-half in of Doing This and i still Forced Myself To do This because i Still have assumptions about what AI won't be good at.
00:03:03: And those assumptions are becoming not true every day,
00:03:09: right?
00:03:10: Yeah because it's so rapidly changing what AI can do.
00:03:14: and yeah I agree.
00:03:16: So i think like everybody...like literally everybody-I don't even mean knowledge workers!
00:03:22: I mean literally everybody could be using AI to help them with something So like, I don't think it's true that people don't have things the AI could help with.
00:03:35: However many billions of people we have on the planet they all have something AI can do to them.
00:03:41: The problem is we don't recognize those things until we start using AI.
00:03:46: so this habit of trying one new thing every day and doing a really great foundational habit
00:03:57: That's what I see a lot of people being blocked by is this.
00:04:28: when I started this journey, i felt really behind.
00:04:34: I
00:04:34: think most people look at me and they don't think i'm behind anymore but i start-I started feeling really behind.
00:04:39: so...i think this
00:04:41: is that
00:04:42: um all of us are behind.
00:04:44: yeah like what is the proverb?
00:04:46: The best time to plant a tree was fifty years ago and the next best day right just get started.
00:04:56: It can take five hours, but you don't have to let it.
00:04:59: Take five hours so You could try one small thing a day and if it's not very good at it?
00:05:07: You can shoot move
00:05:07: on
00:05:08: want to spend A little more time to try to make it good or do I just wanna Move On And If it's particularly busy Day you might Just move
00:05:15: on?
00:05:16: That's what my Time Boxing Comes in.
00:05:19: yeah if you got a Little bit extra Time
00:05:20: you Might
00:05:21: get Curious and Follow a Thread Right.
00:05:24: Yeah, the other thing that I've learned and I read very broadly And one thing this helped me is just seeing what other people do?
00:05:34: So This Is something That i'm trying to curate for Other People.
00:05:38: so I wrote an AI at home blog post.
00:05:41: I wrote in a I work blog post.
00:05:43: both of These Blog posts Just list lots and Lots and Lots Of ways you can use AI and I'm not I don't, i didn't write those saying this is how you should use AI.
00:05:55: I wrote them as This Is How I Use AI?
00:05:57: Hopefully this inspires You to see how you might use it in your own way right.
00:06:02: and then um...I also host monthly Claude Code Show & Tell sessions where people from my community just demo what they're doing And one.
00:06:14: It's a Way To Like Build Momentum and Inspire People into like.
00:06:17: Let people show off what they're doing, which is really fun.
00:06:20: People
00:06:20: love the story.
00:06:22: Yeah like it's just super fun and Just like when we were in elementary school We got to go to show and tell them share our favorite toy.
00:06:31: It's this same idea Like hey I built This cool thing.
00:06:34: Here's What it does for me.
00:06:36: And sometimes people Share things that are so bespoke.
00:06:40: One guy Built this concert review website For himself.
00:06:45: Its very elaborate.
00:06:48: It probably has zero market other than him, but he loved it.
00:06:51: And he learned a ton and was so proud of that.
00:06:54: the rest were blown away by how much you is able to do.
00:06:59: He's not an engineer never built anything before.
00:07:02: So like doesn't matter if this thing isn't relevant for you?
00:07:07: It shows what possible And then it might spark this seed of like, oh I've always had this idea that I forgot about.
00:07:15: If you could build this than I can build that!
00:07:18: and i think thats really important is to find peers in community whether its through my community or by just watching youtube
00:07:31: videos
00:07:31: local meetup It doesn't matter right?
00:07:34: Find a way To just be exposed to what's becoming possible.
00:07:40: Yeah, and don't be too stressed by it We've recorded an episode on AI FOMO.
00:07:45: I know.
00:07:46: go back listen to that one but just briefly The more complex these AI setups become the more people are afraid of Using it to some extent because they think do too much magic things which is then out of their control and stuff like that.
00:08:07: I constantly find myself in these conversations where i tell people you don't have to connect it to everything on your machine.
00:08:15: This is definitely not something that need to do, start learning what actually can do and is capable about.
00:08:22: you can keep a draw the conversational end.
00:08:24: you can copy and paste text into your prompts and see how this turns out and then at some point maybe off.
00:08:33: fine with it to create MD slash text files on your machine, but you don't have to go full agentic API MCP logins for everything from the beginning.
00:08:48: I think that would be weird anyways.
00:08:50: so making new friends.
00:08:54: Yeah people shouldn't do this all day every.
00:08:58: No, me neither.
00:09:01: Right?
00:09:01: Like I let it read and write file like text files but It doesn't have access to my email.
00:09:07: Yeah And i don't use a million mcp servers.
00:09:10: you know The vast majority of what's out there is noise.
00:09:14: Yes!
00:09:15: This why we talked about in our previous episode that I really frame as...I Have problem need to solve..i have piece work im trying to do.
00:09:25: Im not going out and try every new technology.
00:09:29: I'm not looking for MCP servers, for the sake of MCP Servers.
00:09:32: I am NOT downloading every new AI app that comes out!
00:09:38: I ignore the vast majority of this stuff.
00:09:41: so like i said im a year and half in using it everyday.
00:09:44: still have never tried Cursor which blows people's mind.
00:09:48: but I don't need it.
00:09:49: Me neither!
00:09:50: Im pretty happy with my tool...I have used ONE MCP server A grand total of one.
00:09:56: And I used it for a very specific task- Me too!
00:09:59: ...of pushing content to Trello, right?
00:10:03: Um...I don't really use plugins.
00:10:05: I actually find the plugin interface to be terrible.
00:10:08: I
00:10:08: steal
00:10:09: skills from ideas from other people and look at their code so that i can learn how to build it.
00:10:15: Yeah
00:10:15: but I don't steal skills form others because thats another thing I can't, i have to create these skills myself.
00:10:23: To get the best outcome possible and i get my inspiration from other people's skills but i always have to build them myself.
00:10:31: yeah i didn't mean i actually take their skills...i mean.. i steal their ideas from their skills.
00:10:37: okay gotcha what
00:10:38: they built never works for me out of the box.
00:10:41: no it's a
00:10:42: value
00:10:42: of this is you get to make it your own right?
00:10:46: The hyper personalization is what we're looking for
00:10:49: exactly Exactly.
00:10:51: So I think, like the reason why i find starting with a task or starting with A problem to solve is so helpful Is that?
00:11:04: I get To ignore all The noise.
00:11:05: it's only relevant to me if It's helping Me With the task of doing right now and then That Like takes this infinite universe And turns into like.
00:11:16: okay There's like three things that might be able to help me Right Now.
00:11:19: Let me have Claude explain those three things to me and then I'm going to pick one.
00:11:23: Yeah, that's how i like to go about it as well more or less yeah okay.
00:11:29: so that's How People Could Find Big Enough Problems And Enough Inspiration To Learn More About AI On Their Own Terms?
00:11:42: One
00:11:42: thing on close with is we talk a lot about agency We Talk A Lot About Like Bias For Action and I think those are the right terms to be throwing around, but i'm not sure we fully understand what they mean.
00:11:54: And I think uh always when we do something for the first time there's this fear of the unknown.
00:12:04: yeah like I'm looking at a task...I know I need to do the task!
00:12:08: I'm gonna play Trice's game and say how can AI help with this?
00:12:12: ...and then immediately you're going to feel stuck..you're
00:12:17: going.
00:12:18: I
00:12:19: don't even know where to begin.
00:12:21: And this is where you want to remember those terms bias towards action.
00:12:25: have some agency, You don't have to know how do it all?
00:12:29: All you have to do is try something.
00:12:34: It might totally fail.
00:12:35: that's okay.
00:12:36: literally Try something and not try something could be open up chat GPT Open up Claude Literally type i Have To Do This Task.
00:12:47: How Can You Help?
00:12:49: And then read the response
00:12:50: and take it from there.
00:12:52: Like that's it.
00:12:53: like The magical thing about these tools is you don't have to know how to do anything.
00:12:58: They will walk me through it, and It'll probably be terrible.
00:13:02: but let's be honest the first response Will Probably Be Terrible?
00:13:06: You can just be like.
00:13:07: you literally Can be like.
00:13:09: this was terrible.
00:13:11: What can I tell you?
00:13:13: To help you Do a better job Mm-hmm so you Don't even Have to Know How to fix it.
00:13:17: you Could Just be like This was terrible.
00:13:19: And then the AI will ask you, what is terrible about it?
00:13:22: What did you not
00:13:23: like?".
00:13:23: Okay well here's maybe what I could know.
00:13:26: right and so...
00:13:27: I had such a fun session with mid-journey yesterday which took us nowhere!
00:13:32: It was exactly the same conversation.
00:13:34: i was like oh my god all these pictures are
00:13:37: terrible!!
00:13:38: So we really need to rewrite this prompt from the ground on because the results are not
00:13:43: great!!!
00:13:44: Then we did it and now.
00:13:47: So, I think you started this with.
00:13:50: people might not have big enough problems for AI to help.
00:13:54: If You had a to-do list you've problems that i can help With?
00:13:58: I like the framing
00:13:59: right
00:14:00: very helpful!
00:14:01: I Think it's just play A little bit.
00:14:05: Yeah go Play!
00:14:10: I Like That.
00:14:10: thanks Teresa.
00:14:12: Thanks Petra.
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