Nicholas

Best of the Pod: She Built an AI Product Manager Bringing in Six Figures—As A Side Hustle

Nicholas

Automate 80% of your repetitive writing, thinking, and creative tasks Try Spiral made by Dan Shipper & Every: https://spiral.computer?utm_source=youtube Claire Vo built ChatPRD—an on-demand chief product officer powered by AI. It’s now used by over 10,000 product managers and is pulling in six figures in revenue. The best part? Claire has a demanding day job as the CPO at LaunchDarkly. So she built all of ChatPRD herself—over the weekend—with AI. I sat down with Claire to talk about how ChatPRD works, how she built it as a side hustle using AI, and all of the ways she’s using AI tools to accelerate her work and life. We get into: - How she used AI to build ChatPRD over Thanksgiving break - The part of product management that Claire thinks AI will disrupt - Why the PMs of tomorrow will be “proto-managers” who create prototypes rather than just specs - How junior PMs can use AI to upskill faster - The ways in which ChatPRD is baked into her own workflow - How building ChatPRD is making Claire a better PM - How Claire uses AI as a tech-forward parent This is a must-watch for anyone interested in turning their side hustle into a thriving business or who works in product. If you found this episode interesting, please like, subscribe, comment, and share! Thanks to Google and LTX Studio for sponsoring this episode! The Gemini 2.5 family of models is now generally available. 2.5 Pro, the most advanced model, is great for reasoning over complex tasks; next up, 2.5 Flash finds the sweet spot between performance and price; and finally, 2.5 Flash Lite is ideal for low-latency, high-volume tasks. Start building in Google AI Studio at ⁠https://ai.dev/⁠ LTX Studio is helping storytellers go from concept to delivery in one seamless platform. Whether you're storyboarding your next film, prototyping ad concepts, or creating pixel-ready assets, LTX Studio allows you to fully realize your imaginations. Check them out here: ⁠https://tinyurl.com/2d5nx3ut⁠ Want even more? Sign up for Every to unlock our ultimate guide to prompting ChatGPT here: https://every.ck.page/ultimate-guide-to-prompting-chatgpt. It’s usually only for paying subscribers, but you can get it here for free. To hear more from Dan Shipper: - Subscribe to Every: https://every.to/subscribe - Follow him on X: https://twitter.com/danshipper Links to resources mentioned in the episode: - Claire Vo: https://x.com/clairevo; @chiefproductofficer - ChatPRD: https://www.chatprd.ai/; https://x.com/chatprd; https://www.linkedin.com/company/chatprd/; https://www.youtube.com/@ChatPRD - Some of the AI tools that Claire used to build ChatPRD: http://Clerk.dev; https://tiptap.dev/ - Greeking Out, the Greek mythology podcast that Claire’s son enjoys: https://www.nationalgeographic.com/podcasts/greeking-out

Published
Published Aug 20, 2025
Uploaded
Uploaded Jun 12, 2026
File type
Podcast
Queried
0

Full transcript

Showing the full transcript for this episode.

AI-generated transcript with timestamped sections.

0:00-1:32

[00:00] Chat PRD is a on-demand chief product officer that helps you with your product work. It helped me write a PRD. Teams plan features for Chat PRD. So then I just click go. And so it's going to go great. Here it is. Gives me a problem statement, business goals, user personas, user experience, success metrics. I think this looks great. I want to build this all in three weeks. So document's been saved. [00:30] document format, we have some of these AI features. You did this all yourself? Like, this is complicated. Document editors are hard to make. Here's what is so fascinating. No, they're not. Like, I did this truly on a Sunday. Notion-style editing in a day by myself while my kids were watching Aladdin. [01:00] you [01:02] This podcast is supported by Google. Hey everyone, Sreshta here from Google DeepMind. The Gemini 2.5 family of models is now generally available. 2.5 Pro, our most advanced model, is great for reasoning over complex tasks. 2.5 Flash finds the sweet spot between performance and price. And 2.5 Flash Light is ideal for low latency, high volume tasks. [01:28] Start building in Google AI Studio at ai.dev.

1:32-3:14

[01:32] Claire, welcome to the show. [01:33] Hi, I'm so excited to be here. [01:35] I'm really excited to have you. So for people who don't know, you are the chief product officer of LaunchDarkly, a feature management and experimentation platform. And you are also the founder of ChatPRD, which is an on-demand chief product officer that writes and improves your PRDs. [02:05] You're leading a business as a chief product officer, and then you're also building this chat PRD side hustle that is built with AI and uses AI. And so I think you just have so many ideas going on in your brain about what the future of this looks like. And so I'm just super excited to have you on. Well, I'm excited to be here. It's something that I think about a lot. And as I was preparing for this conversation, it's something that I took a moment and reflected I use a lot. So I'm excited to just share a little bit about what I think and what I'm building. [02:34] That's awesome. So why don't you give us a little bit of a background on ChatPurity? Because that's the thing I'm most interested in. It seems so cool. [02:43] Yeah, so... [02:46] You know, like all good... [02:48] workers. I'm trying to work, you know, I'm maybe not like all good workers. I'm trying to work myself out of work. That's the ideal way to do things. And so when ChatGPT and some of these tools came out, I was all over it. It did not scare me. It felt like magic. And I spent a lot of time as an executive leader. I lead product and engineering organizations, many hundreds of people, pretty large responsibility. But I still have

3:14-4:45

[03:14] believe it or not, more than meetings and like hiring great people to do, I actually have to output work. And so with a calendar like mine and the demands of a job like mine, anything that can be a help is very welcome. So I started using ChatGPT to help me basically write product strategies and product specs. We were a fairly, I would call it scrappy team at my previous company. [03:44] And so something would come up, it would be pretty complex. It would spam product and engineering. And I would raise my hand and say, hey, I'll write the spec for that. I think I have a sense of what we need to do. [03:52] And there's this very specific example of us building a pretty complex and custom audit data audit tool. And I said, I raised my hand in the meeting, I remember at 10 a.m., [04:03] And then by two... [04:05] I had this like full five page spec and my team was like, what just happened? How did you do that? Because you've been in meetings all day. Like, what was that? And it was because I had over the course of months, you know, sort of like prompted chat GPT into a place where I could really work with it in a pretty rapid fashion to get high quality outputs. That wasn't just going to happen with just using kind of plain chat GPT, like GPT-4 at the time, I think. So yeah. [04:33] When the GPT store came out, I thought, okay, I'm just going to like dropped my, you know, my joke is it is, but it is just a prompt, but she's my prompt. And so I dropped my prompt into the GPT store.

4:45-6:17

[04:45] got the like great name [04:48] chat PRD, which I think is just, it's good stuff. People love it and shared it with my team. [04:53] And I was like, you all can use this if you want to know how I do it. And they all [04:57] loved it. And so I was just kind of joking around to my husband. I said, we should just buy it. Like, we should just buy the domain on it. Of course, it's got to be .ai. So, you know, I spent my 60 bucks or whatever, because there's a premium on these AI domains. And bought chat, chat, chat, PRD.ai, and just put up a, like a newsletter signup form and a link to the GPT. And so many people started using it. And, you know, still with the GPT store, I think it's in early, early days. [05:27] So even though it's getting a lot of use, [05:29] There was no monetizing things. And I'm sorry, I'm the kind of product person that needs to make money off the things that they build. So over Thanksgiving last year, between hosting the kids and doing stuff when they were napping, I dusted off VS Code. And I was like, I think we can build this. And so I built it over the course of Thanksgiving week with my kids home. [05:54] while they're napped. We can talk about all the ways I used AI to make that really, really easy. I launched it on November 28th. So she's six months old. And just put like, I don't know, it was like $2 a month. I was like, I don't know, like, who knows what somebody's going to pay here. And people started buying. And then I started to add a little bit more features and raising the price and people started buying. And I

6:17-7:57

[06:17] Now I have, I think, 10,000 users on the app that I host. [06:24] over 50,000 chats have been done on the GPT. It's somewhere between 50 and 100,000, because I think that's where they like bump you to the next the next tier. And I started to build out a lot more than just chat features on the product. So it's been really fun to build. And I do. [06:39] I think I have 285 chat PRD chats in the last six months. So I use it a lot. [06:46] That's wild. There's so many things I want to dig into there, but I want to just like sort of summarize the like process that led you here because I think it's a sort of generalizable thing. I actually have something similar in my own life that I've done with this where it's like, it seems like you used it yourself. [07:01] And you built up a very complicated prompt that reflected like your worldview and your skills and all the ways that your process for like making PRDs. Actually, before I keep going, can you define a PRD for people who don't know what it is? I now say chat PRD is a on-demand chief product officer that helps you with your product work because we've really expanded past PRDs. But a PRD is a product requirements document. [07:31] defines the problem space that you're going after when you're building a new product, kind of what users want. If you have one user or multiple users of the product, what are their incentives? What do they want? What are their goals? What are their non-goals? And then kind of details out some of the features and capabilities you would need to make this meet the needs of those goals. And then a lot of teams and companies use it also to outline things like tracking plans, security risks,

8:01-9:43

[08:01] source of truth for when you're building something new as a product, whether it's a very small feature or a brand new company, sort of the written record of what that's going to be. Okay. That's great. So basically like in the process of doing these yourself, you realize ChatGPT is really useful. You create these prompts that help you build good PRDs. And then you realize like, oh, this is sort of like complicated for me to like prompt manually [08:31] you share it with your team, your team loves it. And then you're, you're sort of off to the races, like, okay, I'll have it on the store. Maybe I'll build my own version of it. Um, but I think that that's, that's the sort of like repeatable process that I think a lot of people are finding is, um, [08:44] Off on your own explorations, make something awesome, make some awesome prompts, and then you can sort of like productize that. Yeah. And I think the key that we're not talking about is like, how do you distribute it? Because unless you are maybe featured in the GPT store, which can get you a distribution, you really like you own your own distribution for even the GPT store or an app. And so I was lucky enough to have a good number of people who follow me for product content. So it was like right in the wheelhouse of who might find it useful. [09:14] to use the product. And then it creates that virtuous cycle of word of mouth distribution. But I do think distribution still is... [09:21] a challenge for anybody kind of going down this path. Yeah, that makes total sense. And so just to like, just to back up to sort of that, the beginning of the story, like, tell us about like what you were using it for initially, like, what were the sort of initial prompts that you were, you were working on? Like, what were the tasks that you've like, or the mini tasks within making these documents that was actually helpful for you?

9:43-11:34

[09:43] Yeah, so basically we have a PRD template. So we have like every time you're going to build something, here's what we just generally expect you to outline and write. And then as people write those, then we have a PRD template. [09:57] at my old company, we call it PRDR. [10:00] product requirements document review meeting, where we actually like debate both asynchronously in comments and then live sort of the, [10:08] the thinking in this document, and then it becomes a source of truth for what to build. So we had this template. [10:14] And PMs, including myself, would, you know, once a week sit down and be like, I got to pick up that next project and sit down and start with a blank, almost blank slate, a template and go, okay, I got to write this whole thing out and they end up being somewhere between... [10:28] A mini PRD would be just like a one page up to like seven, 10 pages, just depending on the complexity of the product. And a lot of times you're doing things like it needs to have rules-based access and like these very nonspecific but functional requirements need to be outlined. And if you forget them, then engineering goes off the rails and you get a product where you forget to build a whole bunch of table stakes features. And so what I would do is I would paste and I was like, this is our template. [10:55] this is like the type of company I'm working at. [10:59] And then just word vomit. Here's the product that I think we need to build and why. And it would scaffold out then all those sections, combining the context of the template, what I've said about the business. [11:12] kind of like high level what I've said about the product I want to build. And the thing that really was the aha moment for me was not that it could do that, obviously could do that. It was that it thought of functional requirements. I would have truly forgotten it. And I think I'm pretty good. I've been doing product for 20 years. Like, I am pretty good. And when I was building this audit feature, I was focused so much on the data we needed to ingest and how people needed to audit.

11:35-13:20

[11:35] And then when I was generating this PRD via AI, it said, like, you need filters. And I was like, of course, I need filters. Like, obviously, I need filters. And somebody probably in a meeting would have said, Claire, you need filters. [11:48] But I could have just, but it put it in the dock. And it was just one of these moments where I was like, oh, it's a little buddy that I can have that can just like round out the edges of my thinking, make me a lot more efficient and remind me of things even that I need to include where my fallible human brain. [12:05] fails me. I love that. I think that's, I think that's really common too. It's like, um, some of the stuff that you learn from it, it's not stuff that you wouldn't already know. It's just like, you might not have thought of it. It like finds the simple things that you're missing. And that is sometimes so valuable, especially if you're working alone, like you're, you have a team and stuff like that, but like, you know, building chat, chat PRD where you're, it's like, I think it's, it's you and maybe one other person part-time. Like it's sometimes hard to, uh, it's hard [12:35] is that. [12:37] I'm really curious to get into how you're using it. Do you want to show us some of your historical chat PRD chats? I can share my screen. Okay. So this is chat PRD. And some of the things that I think are really unique compared to the GPT store is how one, not only I've customized it, but you [13:02] to yourself. So you can tell... Wait, can I pause you right here for one second? This is really beautiful and well-built. How is this built? I did it. I mean, this isn't magic. If anybody's building stuff right now, I'm going to be like, it's a Next.js app.

13:20-14:51

[13:20] like mostly tailwind. I have good taste. I'm, [13:24] I don't know, it's pretty, I think one of my other learnings here is [13:27] It is so cheap and easy to build high quality web apps right now. And as somebody who's built web apps, I'm [13:33] many times in their lives and run very large engineering teams that build web apps. It's actually not that hard to build something pretty phenomenal. You know, it's a database on a website. So thank you. I appreciate that. I try to put love in it. We can talk about how actually I think building solo... [13:52] does increase quality and velocity in many ways because you're short circuiting the loop between product engineering and design in a way where like I think in a traditional team where you have multiple people playing that role, you lose fidelity of kind of vision. [14:08] And so one of my one of my interesting ideas is which has something like chat PRD, like plus a co-pilot or like a Devon. Do you actually collapse and focus the ability of one person to build something and does the quality actually? [14:22] go up because you're not negotiating these you're not uh deciding by committee you're deciding kind of like one person so thank you having everything integrated it's the same thing with like the multimodal models it's like a lot of the stuff gets better when you integrate the like the the image recognition and the video into the intelligence portion and it's like yeah like integrating development design and product thinking into like one person is gonna like it's your faster cycle so you're gonna it's gonna be it's gonna be higher quality i think that's

14:52-16:18

[14:52] Oh, and did you use ChatGP to code this or did you code it by hand? Of course I use ChatGP. [14:57] I mean, look, I can write some code, but it's much easier to say. I mean, I take a PRD from ChatPRD and I'm like, hey, this is the component I need to build. Can you just scaffold it out for me? And then I can play with the edges on design or functionality and that kind of stuff. Okay, that's great. Okay, so let's go back to before I interrupted you. So like you're in settings. Yeah, so you can customize your profile. [15:22] about yourself, who you are and what you do, it remembers that. So it has memory. So unlike, you know, well, I know chat GPT has memory now, but a lot of times previously when I was building this, I'd be like, tell me about your role in product, you know, tell me a little bit more about your company. And so we're just stabilizing that information. And then, as I said, most companies have a template. Um, I have a pretty good one that I think I use as a default, obviously, because it's mine, but you can also add your own template of PRDs that say you're like, um, you have [15:52] which I always do, short summary of the product doc. And then you have functional requirements are super important and put functional requirements in XYZ format, whatever it is. You can actually use a custom template here. This is something that's just really useful for people as they're using this in the business context to get consistency and again, not have to manage that prompting.

16:22-17:57

[16:22] are two things. I use it to, well, maybe I use it for three things. I personally use it for writing PRDs for ideas I already have or brainstorming features on the roadmap. And then as a product leader, I use this help me improve an existing PRD to coach my team on how they can improve their PRDs. So those are sort of three things, but let's just talk about help me write a PRD. So one of the things that I've been working on is a Teams feature for chat PRD. So right now, [16:52] ChatPRD is sort of like in single player mode where individual PMs can use it. But we've gotten a lot of feedback that people want a Teams version of ChatPRD. So I'm going to say, help me write a PRD. I'm going to be really lazy and say Teams plan. [17:08] features for chat purity oh okay so then i just click go and um do you usually do you normally do that level of detail are you normally like writing more stuff when you're actually i'm pretty lazy i usually do because again i've prompted chat prd to like [17:30] ask for stuff. [17:32] um if it doesn't have enough information to do a good job so you can see it's like okay well that's great but what do you want and so i say i've gotten a lot of feedback that teams want to use chat prd prd together they have a few priorities shared billing shared templates and stored um

17:57-19:28

[17:57] company context knowledge, sharing chats and documents with each other. If you have other ideas, please share them. I think we can grow to 100 Teams accounts by the end of the quarter. [18:19] It's like very, very high level. [18:24] And so it's going to go great. Here it is. And so... [18:27] Gives me a problem statement, business goals. [18:31] user personas, team lead, user experience, like how you might onboard team members, how shared billing, all this stuff works. A narrative, which this is a little thing that I've injected here, which I feel like PMs are very bad at pitching their story. I've added that in. Success metrics, technical considerations, milestones, and sequencing, et cetera. Okay, this is an okay start, but I actually feel like the user stories are really lame. [19:01] out the user stories, focus on a few personas, billing lead, team lead, admin, individual, team users. Before you hit enter, I'm just sort of curious, what do you, as a product leader, and you're reading these, what is standing out to you as the user stories are sort of lame? Yeah.

19:29-21:06

[19:29] It's just very, very high level. So they're just, yeah, obviously, but then comma how. And so I just think, yes, I want to share chats and documents by team so we can collaborate efficiently. Let's get much more specific. Okay. Actually, it's a little more detailed. Let me see. Okay. [19:48] a lot more detailed, um, outline features and sub features that might be useful to all these personas. Um, that's great. I think I'm asking cause like for me, sometimes it's hard, like seeing something like that from, from, uh, from chat GPT or honestly from people that work for me, like I can kind of tell that it's kind of high level, but it's hard for me to like have that. [20:18] That kind of makes sense. I want to know what's in your brain to be like, okay, no, no, we got to push in there. [20:48] You can quickly refine ideas without bringing in additional teams or external tools. And the iterative workflow means you're in complete creative control, and you can make changes in real time as your vision evolves. And the AI-powered precision from Flux Context gives you consistent characters with professional-level control over details like lighting, objects, and angles.

21:07-22:50

[21:07] LTX lets you toggle between different models, including Google's VO3 and LTX V, [21:11] the industry's fastest open source model. And all of this comes with seamless collaboration features for real-time teamwork on concepts, pitches, and final production. Whether you're storyboarding your next film, prototyping ad concepts, or actually creating final pixel-ready assets, LTX Studio empowers you to fully realize whatever it is you're imagining. Check out the link in the description below to see how it transforms your creative process. And now, back to the episode. Yeah, yeah. I think it's specificity. [21:41] shows itself up in the in the user experience now we've gotten something a lot more detailed on onboarding team members where it's like okay we're going to invite them via email there's a welcome guide there's a secure link there's roles and permissions here are actually the roles and permissions that you need to build so this to me feels much more specific i'm like oh okay i could hand this to an engineer now and instead of saying we need roles and permissions it says we need these [22:11] Here's where I think chat PRD, the app gets really... [22:16] Interesting. I think this looks great. I want to build this all in three weeks. Today is June 5th. Update the timeline. [22:30] So then the only other thing is, I think, is the milestones. And so then they're going to it's going to regenerate this document, include all the updated user stories, which we have. So now we have these more detailed user stories, which I'm very happy about. And then it should generate.

22:50-24:28

[22:50] more milestones in a more detailed way. And I tend to be very aggressive. So I give it like, I want to do this in two weeks or three weeks or whatever. Most teams tend to know how quickly they want to do things, but have a hard time like breaking down those milestones. And so I find I use milestoneing and sequencing pretty frequently here as a structure or scaffold for how we might do milestones. So here, look, it's like initial development, billing features, 10 to 13, 14 [23:20] nice like okay can I hold myself accountable to that can I build that [23:24] into Jira. And then this is where... [23:27] We go beyond sort of what you could do in a GPT store, which is we have this idea of save as a document. Look at this nice little solo mirror. It's slow. Sometimes docs are incomplete. I've apparently pushed. I've talked to OpenAI about this, like their actual team, and I've pushed the edges of some of their function calling. So we're just going to see. We're going to wait for this to load. And while it loads, I'm wondering if you have any questions. I always have questions. This guy takes forever. That's very cool. [23:57] to ask you is like, um, the decision to, to have this be a chat feature instead of like, and like a document that you are progressively filling out, like a document editor type interface. Um, how did you think about that choice? Well, it's actually both. So if we can get this loader, [24:14] to, you know, if we can get the robots to spit back. I actually think multimodal is the way. Okay. That wasn't too bad. Look at that. That was fine. Yeah. So documents been saved. So if I click document save, now I have it.

24:29-26:10

[24:29] in a document format, I can actually toggle back and forth between chat mode. [24:34] Food. [24:36] This is like the magic. [24:38] And then the document that it creates. So like, if you go back into the chat mode and you're like, I want to, I want to add something more to the user stories, we'll go and like edit the document or does it regenerate the whole thing? It has to regenerate it right now. Cause the way things work, but we're getting there and we, we, the, here's the proof that we're getting there. [24:57] We have some of these like built-in AI tools. [25:03] kind of features here. So if I'm like, Oh no, we're hardcore. We need this like very business. You did this all yourself. This like, this is complicated. This is complicated. [25:15] Document editors are hard to make. No, you know, here's what like is so fascinating. No, they're not like, this is a solved [25:23] problem. [25:24] This is a solid, I'll give a startup a shout out. I'm using TipTap Editor. A lot of, a couple of AI companies are using, like, [25:32] I did this truly on a Sunday. I built live, it's real-time collaboration if you want it, it's like ready to go. [25:40] notion style editing in a day by myself while my kids were watching aladdin like i love it there's just no i just tell people like there is no excuse not be able to build something um so yes we have this document you're such a badass like it's just it's like it's undeniable i just i have interesting hobbies but yeah we have this so we have this document note note now where then what i do okay so that took me like five minutes to get all of this which we we love

26:10-27:42

[26:10] And then I come in here and I'm going to be like, [26:13] I'm going to go down actually to [26:15] oh, we don't have it in here. Let's add it in. So I don't have technical considerations. So I would go back and be like, I don't have technical considerations. And so it said, hey, making changes to the doc, you can ask for more feedback. So the chat definitely has context of [26:30] Any changes I made to Docum? We say, I forgot to add. We use Stripe billing and subscriptions. Can you add a section that accounts for the technical and implementation considerations for... [26:47] um billing also i use clerk.dev all the startups are getting shout outs clerk is so good we use for some internal incubation stuff and like it's it just you get so much stuff for free in the user management stuff that like would normally take you like even with ai it'll take you like a day or two to like integrate google sign in or whatever and uh and clerk is just yeah it's really good shout out yeah so now i can tell it okay now we're getting into like how we might [27:13] actually build this. And so it's going to take into account, okay, what it knows about the strike billing capabilities, what it knows about clerk, and actually give me some technical considerations that I think are really helpful when handing it off to an engineer. [27:27] Spoiler alert, like I'm the engineer. [27:29] It's heading off to yourself. That's how I might structure the data or that's how I might do it. So here you go. Integration with Stripe, manage subscription plans for team, implement one with Kistner, like all this stuff. Yeah, this is what...

27:42-29:19

[27:42] I need... [27:43] to do. [27:45] Um, here's a question for you that like, I'm actually thinking through real time. Cause like we, we at everywhere, like we build little products, we have a couple incubations going right now. Like, are you using this, um, yourself for your, for your, for chat PR PRD? Like at what scale do you think like this level of planning is helpful? Um, and, uh, and if you're using it for, for your sort of like to help yourself track stuff, like what, [28:10] What does it do for you that you think it adds? [28:15] So what I think is helpful, so I think it's very helpful at very small scale, single me to very large scale, multi big team, because I've seen it work at both sides. At the very small scale, this is what's helpful is there are a lot of benefits to... [28:30] working solo a lot. [28:32] But like, if I were to approach this, I would like start in one corner and be like, okay, let's like integrate organizations. And then I'd be like, [28:39] what next and then i'd have to like sit there and think about the um architecture and the sequencing and how i might do it i would forget i'd be like i never want to build a billing page like that's terrible i don't want to do that right now and if i don't want to do it right now i'll never do it so what this gives me is like then i'll just go pop this and we're going to build an integration with like jira linear etc i'm going to pop this it's just going to go create like a project plan for me and at least i have my to-do list [29:04] of things to do anchored on a document. As you can say, see here, it updated it, it resaved the document and go back to it. And it should have technical considerations dropped. It's like fun when you do a live demo.

29:34-31:13

[29:34] what do you think about this? And she opens it up and gives me some opinions. When we launch, actually the team's feature, we'll add commenting, we'll add like actual inner team sharing and stuff like that. Yeah. [29:43] That's really cool. Yeah, that's what I use it for. [29:47] I love it. I'm thinking that we should be using this internally. We use Notion, which I also like Notion, but I think we could put these docs honestly just in Notion and we don't really have a set product management flow because it's mostly just been me building stuff myself until recently. [30:17] like I get too excited about whatever's new and then I, and then I forget like, [30:22] the plan. And I think having a plan, having a plan would be really helpful for us. So the really surprised, so I built this like byproduct people for product people. That's how I built it. And actually the number one use case is engineers and founders that don't have a product person. [30:38] There you go. And so like, I have a bunch of engineers that are like, I work with this cuckoo founder who just has ideas. Not me. [30:48] And so they like, they take the idea and they dump it in here and they're like, okay, well, like now I have a plan. Now I can build this. And I've used this for everything from, let me see if I can find a good one. [31:01] um oh brainstorming features for roadmap so uh i've this was uh actually how we built our summer roadmap as i said here are my three big themes

31:13-33:01

[31:13] A lot of job seekers are using it, a lot of integration with productivity tools. So we're talking about Google Docs, Notion Linear, and storing more context for user research. So these are things that people are wanting for us. And then it built out a bunch of ideas. And I said, no, let's build at least five ideas with three pillars, business goal, etc. It built it out. And then I saved that as a document. And so now I have... [31:36] like a roadmap. That's really cool. Basically, I have stuff to build. That's amazing. I don't know whether you've prepped to show this. So like if for whatever reason you don't have it, it's totally fine. But like... [31:48] Where is your dashboard hub for chat PRD internally? What are you using and can you show it to us? How are you organizing all the information? [31:57] Yeah, so what we use is Metabase. So I'm using, I'm like just a write your own SQL kind of girl. I guess that's, you know, that's how I use ChatGPT is I write all. [32:10] horrendous sequel. And I say, [32:12] make this sensical or stop getting me an error. So I use... I'll just talk about my stack. How about that? I'll talk about my stack. So... Oh, I meant just internally, all of your docs. Where are you saving these docs and planning things and keeping things? Oh, yeah. So we use ChatBRD. It's basically the source of all our product documents. We use linear for [32:37] sort of like roadmap and feature tracking. And then we use Slack. [32:42] Okay. That's really cool. Yeah. Um, I like, can I see the linear or like, is that, is that, it's not thrilling. You're, you're welcome to see it. Uh, sure. Can you see my linear, um, what is it linear, linear app? I'm like app dot linear, linear app. Okay. Yeah. You can see our linear. Um, yeah.

33:02-34:38

[33:02] Please. This is like fun stuff. Okay. So... [33:06] Teams accounts, account settings, core chat stuff. [33:11] Fixed doc mode. This is like, can I work around open AI? Um, we have bugs in general, improving onboarding and activation integrations, marketing site, um, [33:21] This is their onboarding stuff. And then we have our summer roadmap, which I just shared in our Slack channel. So it's no surprise. I'm working right now on like doc mode being really great. We're doing some marketing site stuff. I'm doing some like backend billing stuff. Here's one of the things about being a solo founder on a thing you didn't think was going to be a real project. You get real lazy about like tracking billing. [33:41] And then I was like, turned around and I was like, we have thousands of users. I need to get better on like making sure subscription data and stuff is tracked in our database. [33:51] We did, oh, actually I did a really interesting onboarding, if I can show it to you. [33:56] And then we're doing a bunch of integrations in our backlog. So this is our summer roadmap. We'll probably do a couple more things, but we track it here. And then Alisa and I, I truly, I do a release. [34:07] I've done a release every weekend since I launched. [34:10] chat purity every single weekend. It's like my commitment to myself and to my community and to my users. Like every weekend I release, [34:18] something. And part of that is one, I just think product velocity really matters. And two, I'm [34:25] I'm trying to prove like, [34:26] You can do this... [34:28] I have a very serious... Look at this suit. I have a serious job. And I still think you can build something pretty incredible. And the cost of building is really...

34:38-36:14

[34:38] pretty low. Um, [34:40] And so it's part of it is this like exploration and what it means to run an AI native business. And part of that is like, I think building is cheap and you should prove you could do it. [34:48] How different is it, do you think, in your view... [34:53] Could you have done this pre-AI? And what's the difference between you with AI versus you without AI in terms of your ability to build stuff on the side? [35:05] Um, so I could, I have done it pre AI. [35:08] Yes, like I did a startup pre-AI. I was the only engineer on the team for nine months at the company. Like, yeah, I could build a web app pre-AI. Here's what it is. I am a serviceable but not excellent software engineer. [35:22] And but I'm a quick study, like very quick study. It's one of the things I'm good at. And the way I got to where I'm at from a technical perspective is I sat across from somebody who, [35:32] And I was like, how do I do this? How do I do this? How do I do this better? [35:36] How do I do this better? How did you do that? And now I just have that on demand. Like, [35:42] you know, these people, if they listen to this, will know, like, [35:45] Yashin, or not Yashin, Yiland and Jeremy. [35:50] And Dave, Yelan and Jerry and Dave, all at different parts of their career, sat across from me. [35:55] And now I'm a monster. And so now I have like a combination of them. [36:00] you know, digitally sitting across from me at any moment. And so if I want to learn, [36:06] something new, I can learn it very quickly and then I can put it into implementation without having to bring that like other person into a loop.

36:14-37:50

[36:14] Yeah, no, that makes total sense. And yeah, I think I'm more asking like, on the side, like you have a demanding job, you have a family, like, when you're talking about building things on the side, like what... [36:30] Uh, [36:31] Would you have had the time to do this? And if so, how much faster does this let you go? No way. It's like thousands of times. [36:40] of times faster. I mean, I said this yesterday at an event, [36:46] I did a startup before. It was a SaaS app. [36:49] It's a website on top of a database. It was like a good website on top of a good database, but it was a website on top of a database. And... [36:56] It took us probably... [36:58] five to nine months to kind of like build the serviceable first version of that. [37:05] And I think if... [37:08] You gave me a coffee the size of my face and said, [37:12] on Saturday, like, go. [37:14] I think I would have it done by Sunday afternoon. [37:17] Like, I just because you can stand up off, you can stand up a database, you can stand up building, you can do all these things. And then if I hit a wall, [37:26] I go ask my like on-demand engineering buddy to write code for me and it gets written. So I just I think like that is the multiples of efficiency you get. And if we believe you can get multiples of efficiency on engineering output, [37:40] then I absolutely believe you can get multiples of efficiency on product output. And this is where like some of our great testimonials are, where people are saying like, you're saving me 10 hours of work in 15 minutes.

37:51-39:28

[37:51] Like, that's like, great. Then use those 10 hours of work to do something really awesome for the company. Um, so I think it is a tremendous amount of leverage. That is, that is really crazy. What does that, what does that say to you about like the future of product as a job? And like, where, where does that go? What happens? Um, so I, I think there's a couple of things that are going to happen. Um, yeah. [38:15] Maybe one is that I think the ratio of PMs to sort of like builder, you know, [38:21] roles is going to shift pretty dramatically one of the chat parity users said to me i can now basically run quote unquote or um lead a team of 20 engineers where typically like the ratios you're seeing in a lot of companies are like one to seven one to like 10 maybe so now you're going like one to 20. that's very different and in fact they said i'm going i can do one to 20. i was going to hire an apm to help me sort of more junior pm [38:47] use chat periodium and hire a designer instead because I think that's the thing that's going to accelerate our building. So I think that's one thing. And then people are going to say, Claire, but then you're ruining jobs for junior folks. That is actually not true because then what we're seeing on the other side is – [39:03] Junior PMs are able to ramp up and be much higher impact, especially in a remote context, because again, you have this on demand coach that can help you up level what you're doing, which is very hard. If you ever look at my calendar, like, sure, I would love to coach every PM one on the team, and I just do not have capacity to do so. And so I do think you're going to see like more junior folks have higher impact more quickly.

39:29-41:16

[39:29] I'm really excited about that. And then the third thing, it's so funny. You know, there's a bunch of kind of leaders at my level, CPO, VPs of product, et cetera, that are like, how is AI going to change things for them? Well, like it's never like changed things for me. And I'm on the very strong opinion that one of the things very likely to be disrupted is strategic thinking as a differentiated value for a human. [39:59] are really good at synthesis, applying pre-existing frameworks, [40:04] Like, [40:05] Business schools exist. They've published their information, like pre-existing frameworks, to business problems to drive specific outcomes. [40:12] And so I use... [40:14] chat GPT and chat purity a lot for strategic... [40:18] work. [40:19] And I think that's partially because that's the part of my job that's most likely to be disrupted. So I better get really good at it using these tools as opposed to sort of being on my back foot. I love that. I mean, I love the sort of attitude is like, don't panic, just use it. If it's going to be good at it, like just use it. Like I can give up the strategic thinking and direct this thing to do it. [40:49] being good at. Yeah. I do think like... [40:54] inspiration and alignment and motivation of humans towards a goal is still just like it's it's very hard for for something like AI to do. Getting teams excited about a mission, getting them close to the human impact of their work, which is like how it impacts customers. That's one piece that I think is sort of like influential and inspirational leadership.

41:16-43:02

[41:16] You're still just going to have to have at the PM level. I do think that the ability to build things is going to become much more. [41:26] important. And my friend Waylon has this idea of like the proto manager, which is instead of being a product manager, you're a prototype manager, and you're going to be expected to... [41:36] build prototypes instead of building documents. And I think that's like a really interesting thing to play with. So I, you know, I think there's going to be like building is still going to happen. [41:45] on teams for a little bit until these kind of tools get a lot more consistent in their output. I think inspiration and leadership and honestly just convincing hordes of humans to do [41:57] big things and be excited about it. Hopefully I can still be good at that. And then I do think like these things are trained on past data. [42:05] And so... [42:07] What is, I think there's going to be some product leaders, and I think they might actually come from the design side or maybe in the engineering side to be able to see very far into the future. [42:17] and sort of set a place to go. [42:20] Now, somebody else can map how you get to that place, but really having that point of view of like, what's the place you want to go? [42:25] I do think there's some opportunity there for people to contribute. Definitely. I definitely agree. I think you're totally right. Like, um, [42:33] But these things are quite good at sort of the well-trodden paths of the current and past reality. And sometimes you can take the currently well-trotted paths and project them out into the future. And they're probably going to be decent at that. But when things are totally new and the world is changing, it's very actually... Some things are totally unpredictable by LLMs, but I think humans are still pretty good at sometimes figuring that out or making it happen. It's not just like figuring it out.

43:03-44:39

[43:03] just having the force of will or the vision to be like this can work and I want to do it. [43:07] Yeah. And I think one of the other, you know, reasons I'm doing this, [43:11] chat PRD, other than it's like a utility to me, it's very useful, is I do think product leaders and product managers and engineers, if you're not thinking about how to build actual like end user products in this new model with these new technologies, you're going to just be very far behind in terms of what that future is going to look and feel like to be. [43:34] So I'll just like I'll give an example of this, which is we have I had this onboarding for chat purity. [43:40] And it was fine. It was like three steps. And it was like, fill out your profile, do something else and like billing. And it was fine. And I just, but I looked at it and I was like, this just doesn't feel right. [43:51] like an onboarding to an AI product, it feels like an onboarding to like any other SaaS product. It just feels the same. And so one of the things I started to play with, which is this... [44:05] new onboarding that we're doing is it was like, it's a chatbot. [44:11] So like, [44:12] shouldn't the chat bot onboard you and tell you like what's going on here and so it's okay like chatbeardy is telling me what's going to happen okay then i get this form okay we haven't done the form yet but we'll we'll get there and then um it's like great i'm nice to meet you here's all the places you can find us here's all the things like if you need to get help and then it goes into into our plan um so i just think

44:39-46:16

[44:39] That's been something that... [44:42] I've worked on and just try to play with... [44:45] you know, how is, how are these, how are these products gonna like look and feel? And should you do these like chat style onboard? And it's like fake, it's like just like little transitions in, but it anchors you into what's the modality of this product going to be? And how are you going to like go into it and experience it moving forward? And it's been opportunities to play with ideas like that, that I think are really useful for me as a product person, regardless of what happens with chat purity. [45:11] Yeah, that makes that makes all sense. So I know you have, I know you have some personal stuff that you wanted to share about how you use AI. But before we get to that, is there anything else on the work side that you wanted to demo? [45:23] Um, no, I mean, I think I think I'll give one more story and you can decide to use it or not. But just going back to the strategy side, this is really practical and very efficient for me. So I'm, [45:35] Um, one, I, our office is in Oakland, so I have to cross the Bay Bridge to get to the office. Um, [45:42] When people ask, how do you do it all? This is how I do it. So I have a 23-minute commute. [45:48] I've been at my company now for about five and a half months. So hitting, you know, it's time for me to like deliver the like, [45:54] Here's the capital P, capital S strategy. Like I've thought about it. Here you go. And I have all the context and information in my head for what we should do. I think I have a clear vision and like, I'm gonna have to write this thing down. And so what I did is I... [46:08] opened up voice chat GPT. I haven't done chat voice for PRD yet, but it's on the roadmap. And I just like,

46:18-47:57

[46:18] said, this is what I think the strategy should be. And it was meandering. It was not well organized. And I said, oh, I'm thinking about this competitor and that competitor and this thing and that thing and blah, blah, blah. [46:29] And at the end of my 22 minute commute, [46:32] I had a very, I think a very good articulation of like what I think our strategy was. [46:39] that I did with like my hands on the wheel crossing the Bay Bridge, looking at the beautiful skyline. And so I just I'm really leaning in because it helps me do my work at every level just so much better. [46:53] I have the same experience. I love it for that. Like I was recently negotiating a deal and we were sort of like pretty close to the end of it. And I had this like vague feeling that something about the deal needed to change, but I couldn't figure out why and I couldn't express it. And I just like took a walk and just like talked into ChatGPT for like, um, like 30 minutes. But yeah, it's like all these disconnected things where it's like, I just, I can't put my finger on what it is, but there's something here that I can't say. And then at the end of it, I was just [47:23] exact things that I was trying to say. And I was like, yeah, of course, of course, that's what it is, you know, and it's, it's so helpful, you know? Yeah, yeah, yeah, exactly. [47:33] Um, so let's, let's, I want to see some of the things that you're using this in your personal life. You're using it to, uh, to, to do things with a family. Like tell me about like, tell me about what you're using it for. [47:44] Um, so... [47:46] When you have a calendar like mine and jobs like mine and a life like mine, you are just drowning in information and you're drowning in requests.

48:16-49:46

[48:16] And so those two categories were one, [48:19] being recruited for jobs. [48:21] And two... [48:23] stuff from my kids school. And so I, every day, I'm, this isn't like a flex, but like every day you get this message of like, Hey, we have the highest growth CPO job on the face of the earth. We're making X million dollars, blah, blah. And all of them were a no. And I'm, [48:39] In seven years, if I want a job, I should like reply to these recruiters and be very polite and like tell them exactly what I'm looking for so that, you know, whenever I'm looking for a job in some like long term future, they know what I want. [48:50] And so I built an automation that looks for emails that are from recruiters. [48:55] It checks the email against, I'm not taking a job, but it checks the email against types of jobs I would take and then drafts an email back saying, I'm not interested, but these are the kinds of jobs I would take and like recommends to me. [49:10] recommends to me sends me a slack message that recommends to me next steps whether it's like follow up ignore this person or whatever um so that's been really useful and i found that very constructive and it helped me like just get on top of stuff especially when i was job seeking how did you make that like what's what's the thing that's reading your emails uh it's a zap so it's a zapier thing so what i do is [49:34] You know, there's a dozen recruiting firms. So I look for everything with their email addresses, plus anything that says, like recruiter or talent in it, I tag it automatically with a filter in Gmail.

49:47-51:16

[49:47] And then the zap reads all new emails on that tag. [49:51] and then sends the email to, [49:53] to a completion endpoint in OpenAI and says, like, answer this question about it. Like, what should I do? What should the email be? [50:00] And then sends that answer back to me and then sends it to Slack and drafts in an email. [50:04] That's... [50:05] The best. And can you send the email from Slack and you'd be like, yes, send it? Or do you have to go into Gmail? No, it goes into a draft. And then it just like tells me like, you should go send this email. Yeah. That's amazing. I love it. And did you, is that how you got your current job? Oh no, I'm going to give, I'm going to, I'm just going to shout out everybody. No, that's not how I got my current job. The way I got my current job is CJ at artisanal talent who always has the best jobs texted me because he knows. And like, that's the kind of stuff that AI is not going to do yet. [50:35] texted me and said, I know what job you're going to take. Very accurate. But no, he did not. He did not do that. [50:43] So that's an example one, but the second place that I'm truly drowning and any parent can empathize with this is I get 7,000 emails. [50:55] a day. [50:56] from school. [50:57] Like, yeah. [50:58] Everything from fourth grade to this art project to like your kids bleeding in the street and you need to come pick him up like it all goes into this like they all have these apps. [51:09] It's apps have these messaging things. They send email notifications. They send push notifications. Um, they're very long. Like these messages are very long and.

51:17-52:52

[51:17] It's just, it's so much content. And I was losing like, [51:21] What do I need to pay attention to and what do I not? So I'll try to show my screen without doxing my kids. I think I found a specific, yeah, I found a good one. Okay, so what this does is it reads... [51:32] the email from schools and then at three or 4 p.m. every day, because that's like when I need to pay attention. It's like before I pick up the kids. Yeah, it says summarize these in the most succinct way possible. Only bubble up stuff that's relevant to Henry and Theo, my kids. And then like, tell me if I need to do anything. And so this is one day of emails. Mind you, this is how much stuff. Just one. My kid fell and like. [52:00] had glass in his hand and it was a whole whole thing and i had to email them and say like be gentle another thing is like i didn't do his costume so i had to tell his teacher he was in the er all night i didn't do the costume um the other thing was the teacher saying no big deal he's reading the book then there was like an all-school sleepover that was postponed and then like this is the one that i would have missed truly as a working mom which is like picture day is tomorrow like make sure your kids dragon muffins um and so it's this kind of like every day i look [52:30] And I'm like, great. I know exactly what to do. This is probably like 3000 words worth of email. And I'm just getting like the very succinct summary of it. And so this has been like just truly a lifesaver. [52:45] For me and I operate, I mean, everybody operates in Slack. I operate in Slack. You cannot email me things. You cannot push it into an app.

52:52-54:34

[52:52] I need it like where I do my work. So that has been... [52:57] That's been the lifesaver. And I, you know, I think I'm pretty popular in the parents WhatsApp group because whenever anybody's like, hey, what day is the or when am I supposed to? I'm like, screenshot my little AI bot and say, I got you. That's incredibly cool. I mean, that seems like a second product. Like, I feel like a lot of parents would pay for that. [53:17] Yeah, maybe. I'm like, as a public good, I'm willing to just teach anybody how to... I try to do things, like I try to filter out things, you know, I'm trying to be like pretty protective of information, but like this stuff where it's like my kids... [53:32] I gotta, I gotta get these summaries and yeah, yeah, that makes sense. Uh, that's, that's truly incredible. Um, I guess I'm, I'm curious, like sort of toward, towards the end of this discussion, we've seen this incredible product you're building. Um, [53:48] Like, [53:50] What is the future of that for you? Like, are you, do you want to run this as a business where this is the only thing you do? Is it like continually a side project? Yeah. Like, how are you thinking about it? [54:02] I want to see if we can get it to a million dollars. [54:06] Hmm. [54:07] That's like, I think I can share what, uh, we're in six, six figures of, uh, of ARR six months. [54:16] Side project. That's great. [54:19] My goal, I mean, I told everybody, I was like, my goal is I want to buy myself like a nice glass of wine once a week. Remember, I was selling this for like two bucks a pop. I was like, I get a nice glass of wine like once a month or once a week, I'll be happy. And then I was like, I might get a wine. And then my new ambition was...

54:35-56:05

[54:35] I can pay for my kids' school. So I think we've definitely crossed that threshold. And now I'm like, can I pay for my kids' college? Like, it's really kids-centric milestones. We're funding that 529. [54:47] But I think, like, intellectually, no. I... [54:51] Here's what is very interesting about doing this is, look, I've got friends, like, [54:58] would they write me a check? Could they fund this? Sure. Like, you know where we met? Like, yeah, people would probably write me a check. I could like knock on your door and be like, pretty please. But I'll write you a check if you want. [55:10] But my question, that's not my question. My question is like, does this kind of product need that kind of check? [55:15] And if it doesn't, [55:19] How do you build it? Like, what's the, what is this business? This is like more of the intellectual side of me, which is I'm actually trying to, as somebody who really cares and loves technology and somebody who loves startups. I don't know if the current model of venture funding is. [55:33] is the right model. [55:35] for something like this. Maybe it is, maybe it's not. I just don't think [55:39] It's not obvious to me that it is. And so what I'm trying to do is push the edges of... [55:46] how far you can take this with [55:48] me and Elisa, who works part-time, [55:51] And look, if I had a wall where capital's the challenge, like I can get access to capital, but right now it's not times the challenge. It's there's there's something else here, which I'm trying to figure out. [56:02] how to solve the right problem, how to access the right people. So I just, I,

56:05-57:46

[56:05] I'm very happy at my job. I love LaunchDarkly. It is a product that I'm just like, [56:09] so happy to work on. I'm an engineer. It just, it like gives me a lot of joy. I'm pretty good at the job that I do. They know about chat parity. They're extremely supportive of it. Um, and we've carved out the IP cause we're all good corporate citizens. Um, [56:23] But this is an exercise in a experiment for me, and I want to see how it plays out. Like never say never, right? If 10,000 users turns to 100,000 users in the next six months, right? [56:37] Like, we might have a different conversation, but let's see how it goes. [56:43] Yeah, I think that makes a lot of sense. And I love this sort of point about new funding models for these kinds of companies. Like the venture model was built for like when software was a lot riskier to build. And the outcomes were also like much, much, much bigger potentially. [57:13] not going to be like $10 billion or something like that. Um, [57:18] And it's something that like we've thought about a lot at every because we have a media business, but we've also we've already spun out an AI writing app called Lex. And we have a couple more incubations and like the amount of leverage that we get with like we have six people full time now ish. And like the amount of leverage we get with using tools, like we're shipping so much stuff all the time. And it's like, it's like a million dollar a year business or something like that. But like, if we had a little bit more capital, like I think we could do like amazing stuff. But I just don't want to raise another actual venture round.

57:48-59:21

[57:48] of that money and, and, and all that kind of stuff is really, I think an important question. Well, and you and I know this, but you know, there's, I was at an event and somebody asked the question of like, when do you know it's the right time to raise venture capital? And there's like a lot of interesting answers about product market fit. And my answer was like, [58:05] One, when you know you can do something with it. And two, when you want a venture outcome. And $100 million is not a venture outcome. Like people don't understand that. $100 million would change my life. I don't know about you. It would change my life. I would take it. I would be able to fund the 529. So I think you really do have to think about like, [58:25] You can be extremely ambitious. I don't think $100 million is something to sneeze at. It's not a venture outcome. And you start playing that venture game. That is the... [58:34] the path you commit yourself to, to your investors. I know that I've taken venture capital before. So I just think that, you know, also, this is like not my first round. And so I have a lot more flexibility. I can self-fund stuff if I need to, even though we're, [58:50] obviously like profitable relative to kind of like time and investment. [58:55] So I think it's interesting. I have a last thing to show you if you want to see it. I would love to see it. Bring it on. Okay. These are fun things, which is I'm raising the next generation of like AI enabled children. So I built three things with my kids using AI. So again, this is like less about the like logistical, how do I keep my life on top of school stuff and more about like cool ways you can

59:25-1:01:04

[59:25] that I've built that I'm proud of. I think they're very fun and I did them with my... [59:30] my six-year-old. So the first one... Okay, so the first one is this, which is my... [59:39] Bye. [59:39] Then four and six year old at the time now five and seven year old at the time. And I they're really into Greek mythology. And so we built these Pokemon style. [59:50] cards um including images for them to like fake play greek mythology pokemon and like stuff with it which is so fun they're obsessed with these they keep them in their like little file folder with um all their uh all their pokemon cards so this was just like a really fun art project i guess two of these are greek mythology related um and then i uh they're also into this podcast [1:00:20] My kid's really into it. So I made him a little podcast hub of podcasts that he likes. And it's the podcast episode. Let's see if it's work. I haven't even spun this up in a long time. So we'll see. So basically what I built is a podcast hub that takes all these podcasts he likes, transcribes them and gives little quizzes at the end. So he can like listen. [1:00:40] asked about poseidon and then like do question and answer with this app it's apparently not running right now um but but that's a really fun one and then the last one this was our christmas break project is we built runaway pancakes.com [1:00:55] And so one of the problems I have as a parent is recipes are not built for kids to follow because it has the big list of like instructions at the top.

1:01:04-1:02:40

[1:01:04] And then all these instructions, you have to go back and it's like, add the flour to the water. And it's like, how much flour? How much water? So my seven-year-old and I built out his favorite recipes on, [1:01:16] Um, as, and we generated all the mid journey. These are all mid journey images. Most of them are not creepy. Um, but we built all his favorite recipes, but we did them in a way where he could follow them step-by-step and it had illustrations with, um, uh, uh, uh, uh, uh, uh, uh, uh, uh, [1:01:35] kind of like pictures for what it might look like that we did out of mid journey. And so this was a really fun project. So you have the ingredients here, [1:01:43] And what we did is we took the recipes and, [1:01:46] And then each step, this is like the big innovation. It was like mix this much flour, this much baking power, this much sugar, because this is not what recipe sites tend to be to be doing. And so you can see you can go through step by step, you can kind of like see what it looks like. And then you get your fluffy pancakes. And then we made a whole bunch of coloring pages. [1:02:10] That's so cool. This is the best. Like being a kid right now seems so cool because like, yeah, it's yeah. Like recipes are not built for, for kids. Like I had, I ran into that so much growing up. It's like, I'm interested in this. I want to make food. I want to learn how to write. I want to do all this stuff. And it's like, there weren't classes for like seven-year-olds because there aren't that many seven-year-olds that like want to do that. But like AI stuff means like you and your parent can just like make something like this. And it's, I just, it's delightful. I'm,

1:02:41-1:04:27

[1:02:41] My, uh... [1:02:42] maybe chaotic good thing that I did is I trained a 11 labs voice on like Santa. And then when my four year old was not [1:02:51] being great in the December time period, Santa left him a voicemail. It was like, yeah, [1:02:58] I've heard you've been a little disrespectful to your mom. [1:03:05] I'd be like, do you want to talk to Santa? And he'd be like, no. And I'd be like, Santa has something to say. [1:03:14] So there's lots of, lots of little hacks you can do as a, a lot of good parenting tips in this episode. I like it. Take them for what they're worth. But now my kids demand custom stories from me. They're like, [1:03:28] like wild chicken who becomes a prince on a island kingdom and then fights Darth Vader. And you're like, okay, [1:03:35] okay, dude, like I got, I'm like on it. So yes, in one way is it's very magical and other ways, like spoiled for choice. Yeah. Yeah. I wonder, I just wonder what it's like to, to grow up in a world where all your questions are answerable and all your stories are custom. Like it's kind of a different, it's a different thing, you know? Oh yeah. I think I closed it. One of the chats was like, my son was convinced there was a bucket war. Yeah. [1:04:01] in ancient Italy. [1:04:03] He was like, Mom, when was the Bucket War? And I'm like, what the hell are you talking about? My husband and I are like pretty into history and we're like Bucket War. We're Googling what is the Bucket War. And we asked Chad Chippity, we said something like, what was the Bucket War in Florence or something? And it was like, oh, you're mixing up two historical events, this event and that event. And there was actually a war.

1:04:27-1:05:37

[1:04:27] over a bucket in ancient Italy. I'll try to find the link. We can put it in the show notes. Please, don't put it in the show notes. But like being able to interpret my children's very vague recollection of almost accurate facts is a very useful use case. Incredible. I love it. This has been so fun. Thank you so much for doing [1:04:57] Just for just as we end, like if people want to know more, if they want to message you, follow you on social, use ChatPRD, like where can they find you? Yep. So I'm on XClervo, all one word. I'm on TikTok, Chief Product Officer. If you really want some very niche product content, that's the place to go. It's a little stale. I've been a little busy the last six months, but we'll revive it. [1:05:27] very brand new to I'm trying I'm trying to learn YouTube so that's my that's my next project [1:05:33] Amazing. Well, thank you. Oh my gosh. Thank you. This was fun.

1:06:03-1:06:28

[1:06:03] Every episode is a roller coaster of emotions, insights, and laughter that will leave you on the edge of your seat. [1:06:09] craving for more. It's not just a show, it's a journey into the future with Dan Shipper as the captain of the spaceship. [1:06:17] So do yourself a favor, hit like, smash subscribe, and strap in for the ride of your life. [1:06:22] And now, without any further ado, let me just say, Dan, I'm absolutely hopelessly in love with you.

Want to learn more?