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How I AI
“I’m incapable of doing my job without AI”: How this top PM uses Claude + ChatGPT as his second brain
00:38:50
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- [00:00]
Claire Vo
You've actually set up these independent fully loaded brains in Claude and ChatGPT and then use those to hold the context for you and be more efficient with your job. So show us what one of these brains actually looks like.
- [00:15]
Amir Klein
Yeah, let's dive right into it. So here's an example of a project you can see here that I have a bunch of them and in it we have my files and my instructions. Right now there's 20 files. It starts started with two or three or four and then just kept growing and growing. In terms of its brain, this is what all the projects look like. They all just have a lot of files, instructions, and you can see my endless amount of threads that I have with it.
- [00:37]
Claire Vo
Okay, so what do you think are important files for a product manager to put in?
- [00:43]
Amir Klein
So I usually kick it off with a ping pong. So I give it any data that I have. If there is anything that references as to what exactly is going on to start things off, then it helps me and the thread that I'm having here in projects get an understanding as to what I'm looking to achieve and more realistic what we're talking about.
- [01:02]
Claire Vo
Welcome back to How I AI I'm Claire Vo, product leader and AI Obsessive, here on a mission to help you build better with these new tools.
- [01:10]
Narrator/Host
Today I have AI PM Amir Klein who works@Monday.com and is in the top.
- [01:16]
Claire Vo
5 AI powered PMs on his team. He's going to show us how he uses AI to build scrapers to get customer feedback into his custom GPTs.
- [01:26]
Narrator/Host
Use those custom GPTs to not only.
- [01:28]
Claire Vo
Make his product sense better, but improve feedback that he's gotten from his boss. And finally, he is the first guest that will demo voice mode live for us on air to show how he.
- [01:40]
Narrator/Host
Prepares for product interviews.
- [01:42]
Claire Vo
Let's get to it.
- [01:43]
Narrator/Host
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- [01:47]
Claire Vo
The zero fee daaf I want to.
- [01:49]
Narrator/Host
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- [03:13]
Claire Vo
Hey Amir, Happy to have you here.
- [03:14]
Amir Klein
Thank you Claire. Happy to be here.
- [03:16]
Claire Vo
So one of the reasons why I'm excited to have you here is you don't just like using AI. We were just talking about it. You are now highly dependent and maybe incapable of doing her job without AI. So tell me how you got to this point where you're really depending on AI to do your job as an AI. Pm.
- [03:37]
Amir Klein
Yeah, I think there's like the whole context switching is something that's really difficult for everyone. And as a pm, when you're going back to back meetings and jumping between different initiatives and different requirements and asks from people, you have so many things to juggle that I discovered with the help of everything that's out there online that you can silo like brains of conversations and threads in GPT and cloud that it made me super dependent on it in order to just do my work. And I'm doing it really well. I think I'm doing it really efficiently. So that's how I got to where I am today.
- [04:13]
Claire Vo
Okay, so what you are saying is you like all PMs have to context switch and hold a million different threads in your mind at one time and instead of burdening your poor human brain with all that context switching, you've actually set up these like independent fully loaded brains in Quad and ChatGPT and then use those to hold the context for you and be more efficient with your job.
- [04:40]
Amir Klein
Absolutely.
- [04:42]
Claire Vo
Okay, so show us what one of these brains actually looks like. What are some of the use cases for my Collect my file folder of brains?
- [04:51]
Amir Klein
Yeah, let's dive right into it. So I'm going to I guess dive into what a I guess folder looks like my projects look like. So here's an example of a project. You can see here that I have a bunch of them and in it we have like my files and my instructions. So right now there's 20 files. It started with two or three or four and then just kept growing and growing in terms of its brain. And I'll dive into like some of the files that are in here and kind of like what I'm trying to achieve to help you understand like how I put this into action. But just this is what all the projects look like. They all just have a lot of files, instructions, and you can see like my endless amount of threads that I have with it, like non stop.
- [05:37]
Claire Vo
Okay, so what do you think are important files for a product manager to put in? Or what are some unique sources of, you know, context for these GPT projects that you have found particularly useful or unique?
- [05:50]
Amir Klein
It varies obviously on what you're working on, but I always start with some sort of like reference that it can understand, whatever is that I'm starting with. So I usually kick it off with a ping pong. So I give it any data that I have, any data whatsoever. So if there's a company kickoff deck, if there's a team kickoff deck, if there is another reference to a prd, if there is anything that references as to what exactly is going on to start things off, then it helps, like me and the thread that I'm having here in projects get an understanding as to what I'm looking to achieve and more or less like what we're talking about.
- [06:25]
Claire Vo
Great. And then what do you want these, you know, second brains or these GPTs to actually do for you? So what is the, you know, what is this one actually do for you?
- [06:35]
Amir Klein
I'll start this one kind of like where it began. I started at my company@Monday.com leading like the agents team, the whole initiative there. And I'm sure anyone who's on AI today can allude to the fact that AI Agent is probably like one of the most fantasized thing that is in SaaS. Everybody wants it. Everybody wants it to work. Everybody has like this vision of what it can do and it can do everything. And whatever you hear outside is also we hear inside. And there's a thousand different voices and different opinions of where they want it to go and what they believe it will be. And I was seeking some voice of reason that was unbiased. I was looking for conversations that people were having that weren't connected to my company, that didn't have any specific narrative they wanted to go down. I just wanted to know what people are interested in, what they expect and what they want, which is what led me to Reddit.
- [07:34]
Claire Vo
Okay, so you were a pm. You were given the great and wonderful task of building out agents. No One has agreed on what the definition of an agent is. No one has agreed what the agent should do. No one really understands if customers actually even want agents. Technically, there's a lot of complexity and aspirationally there's a lot of goals around these. So this is a very common product manager problem where you're given a big, meaty, interesting, technically complex problem with a lot of hopes and dreams in it, and then it's your job to go make it reality. And so what I'm hearing from you is you went and sought out these different resources that were external that could give you more of an unbiased filter on which to make some product decisions and maybe even go kind of back to your leadership partners or people with big hopes and dreams and say, this is what people actually want or this is what's actually possible. And so you mentioned Reddit. What did you actually pull from Reddit that you think was so useful here?
- [08:35]
Amir Klein
So I'm going to walk you through, like what I did here in order to scrape conversations on Reddit with the help of Claude, I had this idea, I had this vision that I'm going to be able to get this file or many files containing thousands and thousands of conversations that people have about anything that I wanted. In this case, I wanted about agents, AI Monday.com, all in relation with one another. So I went into, I went into to Cloud and I said, here, help me, help me scrape conversations. I started my conversation here with just like, I want to find everything that's written about money.com, whether it be on Reddit, Twitter, LinkedIn, anything that's online. And I wanted like a sort of an automated, free way to do this. So it went into like a bunch of different options. We realized that LinkedIn and Twitter have like more limited APIs. Some of them are like paid. Eventually we got down to what I needed, how to get it and how can do it more automated. So I asked, okay, great, we know Reddit is the place I need to be. Now give me a step by step guide of what I need to do. So I'm not, not technical. I am a little bit, I have a little bit of experience with things, but I wanted to make sure I'm not skipping any steps. I want to make sure that everything I'm doing here is going to be exactly what needs to be done because I had a vision of what I'm getting out of this here. So it literally walks me through here, like, open Safari, go to Brew, write a command, open your terminal, literally step by Step of what I need to do, as if I'm five years old and I don't know how to program or code or anything, which was fantastic. It tells me to go into Reddit, go into this, make. Make a developer account, literally follow that step by step. I didn't even try changing any name. I limited as as it asked. And then we get to, you know, doing brew install, it's getting stuck, whatever. Eventually we get to the good stuff where I have everything set up, it's finished. Now what do I do? I had the environment set up and I had all the packages that I need to set up and now it starts giving me like all these commands to run. So install different packages and libraries that I need in order to run the script that I write for me. Here's a script that I'm going to help you write. And let's get started. So basically it writes me up. This script we can see over here where it. I put in my client id would ask me to take out from Reddit my client secret and my username. And then it scrapes everything that has to do with like Monday with things that I'm looking for with AI and whatever it be. And lo and behold, came out of file with 34,000 rows of conversations.
- [11:04]
Claire Vo
Okay, so you have this like very, again, a very classic product manager problem of I know people are talking about this product like, I know, I know there's information out there and I can manually call through and, you know, do Reddit searches and search through Twitter, but I want to do this in a programmatic way. I'm technical, but not that technical. And dear God, I don't want to write a bunch of Python. And so what you did is you went to Claude and you said, I have this general problem. I just want to know what's out there. You actually said, the prompt is really interesting. It says, I want to know everything out there. Everything everyone is saying. That's a very broad. Yeah, very ambitious flow. And then, you know, Claude narrowed you into, well, here are the actual accessible sources of data for you. And then you wrote a script to go pull all that Reddit data. And then what did you do with that? Yeah, you said 34,000 or something, 3,400 line spreadsheet. What did you do with that data?
- [12:02]
Amir Klein
So I'll show you. Basically, first of all, I want to show you what the file looks like, just so you get a glimpse as to what this monstrous file is. So this is what 34,000 rows of threads looks like in relation to the conversations that I wanted, the theme that I was looking for for. So this is great, and it really helps me understand. Okay, there's a lot of conversations. I also went crazy with it. I said, like, give me different files. Show me how it looks like in comp. In terms of our competitors. Show me conversations that are happening, like in relation to our competitors, like comparing us to any other competitor and their AI, and give me some sort of idea. When I had all that information, I went back into Claude and I said, okay, now be my analyst and start breaking this down. I'm, like, really into data. I have, like a little bit of a data background. So I came into it and I said, here, I'm giving you this, this file. This is one of the files that was pulled out with 30,000 rows of conversations. And I said, I want you to summarize it in a table where you put, like, the frequency, so how often it comes up at what percentage. I need weights because I need numbers to go back to my team and for myself to know what to prioritize, see what the biggest, hottest topics are that people are discussing and some of the key discussion points. And out comes this table, which is really nice and really helpful because I have. Okay, here's. Here's a. Here's some sort of idea. I know, like, what are the top five areas that people are wishing and hoping and having conversations about? Around this. Their expectation and their dreams, around what AI or an agent would do.
- [13:32]
Claire Vo
And did you find that this. Did you spot check this at all? Did you just trust it? Did you feel like this was relatively accurate based on what you saw in that. In that spreadsheet?
- [13:41]
Amir Klein
Yeah, it's a really good question. I did check it. Obviously, I'm not checking 34,000 rows of conversations, but I did do, like, keyword searches and I looked at different threads and conversations that I put up. Also, what I typically do with. Whenever I ask GPT or cloud to analyze something, I say reference, give me at least one or two quotes as to where this came up from. And I have tons of conversations where it does that. So then I fact check it, I copy that, I go back into document and make sure that I was actually there.
- [14:07]
Claire Vo
Awesome. And so you built this scraper, you took the data, you analyzed it. Did you then feed this analysis back into that GPT project we saw before? Kind of. How does this become part of your corpus of one of your secondary brains?
- [14:23]
Amir Klein
Yeah. Fantastic. So I'll show you how that looks like back in the project itself. So here I am in the project you can see that I have like the threaded like the AI threads on Reddit and in general like these are different like Reddit files that I had. And this is how I started things off. I had my kickoff that I had that my manager did and I had a couple of pages that like I took from our site of like how Monday works and I just command peed it so it's a PDF and put in another classic example of everything is a text. And then so it has an idea, it knows what Monday is, it knows what in more or less like what our goal is as a team. And here are some conversations that are happening so you have some sort of idea as to what people's dreams and hopes are when it comes to AI.
- [15:09]
Claire Vo
Yeah, I just want to call out that little trick for folks that might have missed it because I do the exact same thing, which is I actually just use our marketing website or our support website and I just print things as PDFs and download them and then upload them to GPT projects or whatever kind of store because then I know it's scoped to that specific piece of content. I've done it a lot with like support pages. I've done it with the homepage obviously because that's usually like the source of truth of your, your positioning. And then I do it a lot with like pricing pages. So I'll go like print a bunch of competitor pricing pages and drop them in a GPT. So I think that's a really great source of information for a GPT.
- [15:45]
Amir Klein
No, for sure. I think like once you like when I started with this and I had the CSV file from, from Reddit, my mind was like, okay, literally everything is text. So like even you may not necessarily think a slide, it was a slide from like Google Slides as like text, but it is so you just download as a PDF and you have just like whatever it is, however many slides here as a reference. And like the example that you said as well, like the list is endless of what is text. So I have it also like instructions more or less of like what I want to do. Make sure that it is a professional in product management and expert and all this stuff. It has a good product strategy mindset and product sense mindset. I also gave it like a lot of like instructions on, you know, you know how to give feedback to me. You know how to give candid feedback and you're not going to be like too nice to me. You know what I challenge because I hate it when the AI will be like super supportive of every idea that I come up with. Like push back on things, you have the knowledge. So feel free to challenge me on things that I come up with. And then the ping pong begins and then we start going back and forth and I have thousands of conversations here.
- [16:55]
Claire Vo
And so are you using this as a thought partner? Are you using this to prep for meetings with your boss? Like, what are the most common use cases for this GPT for you?
- [17:04]
Amir Klein
All my projects, I start with a scope. I want to get to some sort of like outline overview that'll help me with pprd with a product review, some something that I can deliver to my team. So narrative. So it always starts off with a ping pong, always. And then once I've gone into some sort of document and I have like this overview doc of what it is, I played around with it, I've downloaded it and I put it back into its knowledge and now it has that as a basis and then it goes from there. The more work I do with it, the more knowledge I add into it into its files and then everything that comes after that is just super intuitive and fluid. I'll give you examples, like if I need to write something, how often I get asked questions by like marketing and with the communications theme of like, okay, you're releasing something, can you give me like a two line sentence is what it is. Those are classic examples of like, catch me in the middle of the day on Slack and ask me. Then I'm. And I don't know, I don't have the capacity to think about that. But here is something that has a brain for this. I ask that question and usually does a pretty good job and then lo and behold, here we go.
- [18:05]
Claire Vo
Great. And then, you know, speaking of documents, I think one of the common complaints that, you know, people have about AI generated documents is the writing maybe isn't great and at the very least maybe it's good thinking. But it's quite long. And I know you've also built a custom GPT to make sure that your writing is concise. So can you show us a little bit of what that looks like?
- [18:28]
Amir Klein
Yeah, there's also a background to that. So if any of my past managers and colleagues see this, they will be able to confirm this. But I've been giving feedback multiple times and my writing is good, but it can be really long. So my Slack messages on updates and channels are really long and it's hard for you to get through. And Lenny released, I think there was a newsletter where he had Wescal like, say, more or less like her recommendations on how to write concisely, how to deliver a message well, and again, example here of everything is written. I took these newsletters, I command peed it, downloaded them and I put it into a custom GPT as like my guidelines to how to write. And I'll show you what this custom GPT looks like.
- [19:14]
Narrator/Host
You've seen the doom and gloom headlines.
- [19:16]
Claire Vo
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- [19:18]
Narrator/Host
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- [19:29]
Claire Vo
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- [19:30]
Narrator/Host
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- [19:59]
Claire Vo
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- [20:00]
Narrator/Host
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- [20:02]
Claire Vo
While you cut cycle time by a.
- [20:04]
Narrator/Host
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- [20:23]
Claire Vo
So while you're pulling that up, I have to ask, did you try Lenny Bot yet? Because I, I know he has his own bot with all of these newsletters and some content loaded in. But you wanted something really precise, right? So you created your own.
- [20:38]
Amir Klein
I had something really specific because I know what it is that I needed. So I took in her newsletters because he hosted her on his podcast. She also referenced a bunch of books. I looked for those books online and put them in here. I never read them, but I just put them in here. I was like, okay, you must know then how writing and delivering is. And then you have this here, this instructions that this GPT rewrites Slack messages to be more concise, to be more clear, to be readable, maintains the natural voice of the user. Because I want anyone in my company, anyone in general, to use this GPT. It doesn't make it super AI, like I said here as well. Like, you know, avoid too much dashes, don't give so much bullet points, all that stuff like that. And then I come into here so often I'll write a message out on Slack, like myself, I'll copy it, paste it in here and it does a really good job by making it super concise. Sticking to these guidelines of like delivering to the point, having a really good follow up and lead up as to what the next section will be. It is a lifesaver. People respond to my Slack messages more now.
- [21:42]
Claire Vo
So I know that you didn't read the books but I do have to recommend as somebody with a liberal arts degree, those are exceptional books on writing. So I highly recommend reading them. We'll link to them and the newsletter and Wes's website in the show notes. But what I love about the approach here is a lot of times people get sort of professional development feedback like you got your writing's great, it just needs to be shorter. Like you just write too much. And a lot of people don't really build for themselves a way to coach into improving those skills. Right. They're like, thanks for the feedback but I'm not going to sit with my boss for an hour and have them like edit my Slack messages and edit my PRDs. Maybe I'll read a book or maybe I can do some research. But it's a hard thing to put into practice into your day to day. And so what I like about this is you took some coaching feedback that you got and you're like, cool. I'm going to create myself a coach for this very specific development piece that I need to work on and I'm gonna rely on experts that I think are great and then I'm gonna use it day to day to actually make things better. And then what I liked again about what you said is and then I share it with, with my colleagues because I'm sure I'm not the only one that has, has this problem. So I think that's a really, yeah, really nice process and I think it's.
- [23:01]
Amir Klein
Really cool that you mentioned like all that. Like I'm not gonna send this and have like somebody rewrite it like go pre GPT era and my dependency on AI. I did that. I got this feedback. I'm all for feedback. I love feedback and I love improving anything on stuff like that. I would literally do that. I would write out a message to myself, send it to my manager and say, hey, tell me how this can be improved. And he wouldn't respond. He came back a couple of days later by then like I lost momentum. That's what I want to say. And then this is a game changer for me. And yeah, I definitely think other people probably show it as well.
- [23:32]
Claire Vo
Well and it makes me Think of another idea that maybe folks would find useful, which is, you know, people get performance reviews on maybe an annual or twice annual basis. Like what do you do with that? And you know, maybe what you do is you load up your performance review and you load up your peer feedback into a GPT and you reference it and you say, hey, I just made this doc, but based on the feedback that I've gotten in the past, is there any like blind spots that I might have? I think it's a really great method for self reflection and self improvement if you're, you know, if you're open to feedback like it seems like you are.
- [24:04]
Amir Klein
Yeah, absolutely. The, the. It's limitless what you can do.
- [24:09]
Claire Vo
Okay, so for our last use case, you know, you seem like a person that likes a lot of feedback and likes to prep. You actually use GPT voice for mock interviews. And we are going to push the bounds of the technical capabilities of this podcast and see if we can demo this. So while we're getting set up, can you tell us a little bit about the problem you were trying to SOL and why you kind of went down this path?
- [24:34]
Amir Klein
Yeah. Okay, so basically anyone who's prepping for interviews for, for product interviews knows that there is a lot of content out there. YouTube is loaded with mock interviews. Exponent is a fantastic channel. There's a lot of different people I could shout out. But I'm not going to say off the top of my head, I haven't been interviewed for, in a, for a job in a while. But basically interview prep. What I would do and I think a bunch of people would do leading up to product interviews was watch these videos over and over again. I'm obsessive. I would watch the same three videos over and over and over again. Remember any nuance and stuff like that that when I walked into an interview, it was like copy paste of what I just listened to and I would feel super awkward to be like, let me practice on something. I tried in the front of a mirror, it didn't work. My mirror is not talking back to me. I tried with my wife and I was like, hey, these are type of things to ask me. She didn't know what I wanted from her. So when GBT voice came out, I'm like, I'm going to do this. I will be that lunatic in my living room talking to AI as if we're in the movie her. And it was like the most exciting thing ever. Like I forgot that I'm talking to AI. I feel like I have this like this interview coach who's with me at all times, who's constantly challenging me and pushing me and, like, finding the right things, coming up, fantastic questions. And I'm like, this is what I needed. And I walked into every interview after that, super prepared. It was the best feeling ever. Literally can't recommend it more. Anytime anybody asks me, like, how to prepare for a product interview, I said, just open GPT voice and just go for it.
- [26:06]
Claire Vo
Okay, so I have to ask, because you have this very structured setup from, you know, a writing GPT perspective and a product GPT perspective, but it sounds like you're just opening up GPT voice and. And going for it. Are there any tricks to getting GPT voice into the right mindset? And then once you tell us, let's try it. Let's try it live. Let's see if we can make it happen. I'm gonna make you feel so awkward.
- [26:31]
Amir Klein
Let's. We could. We could definitely do it. I'm gonna be super rusty. First of all, there's two different approaches. Yes, I am organized and structured, but I do love to freestyle it. I did make a custom GPT for something like this. Um, I can show it to you so you have an idea of what it is. But basically, like, so similar to the other one, it has, like, instructions on, like, what product sense questions, like, you need to look out for and what product execution questions you need to look out for. And like, for instance, the. The interview, the interviewer needs to clarify the company's mission and the product goals and identify specific target users and pinpoint their real pain points and then design a solution that solves those pain points. And then they all have a sequence to it. So I want to make sure that it understood, like, what exactly you need to look out for and what type of things you need to ask. And then obviously I put in some knowledge base to it too. I have my own product manager interview prep document. I took Ben Erez's posts. He's fantastic on product coaching on product sense and product execution. And now it has this whole background. You can pop into this GPT and have a conversation with it, and it's super guided on what a product sense interview looks like, what a product execution interview looks like. So that's like, more structured. You can use the voice mode and go for it freestyling. We can try to freestyle. Let's do that. I'll open my phone and freestyle. One other thing that I would add, you can also plop in your CV and the link to the role that you're applying for. So there's more context as to who you are and what they're looking for in the role itself. And then there's more of like guidance towards things to pick on, but you can freestyle it. And also like, if you have like inner back to back to back. If you have back to back interviews with like GPT voice, it can learn from like what you made mistakes on beforehand. Like, I was really bad at user segments. I was always struggling with it. And then like, I'll be okay, let's, let's talk through this and figure it out. And then the next two interviews, they go, your, your user segment actually has improved. You really figured out how to like narrow down different user segments that are super different. So anyways, great, let's get started.
- [28:37]
Claire Vo
Okay, let's try. For those that are listening, not watching, I've made Amir very uncomfortable by making him talk to AI.
- [28:46]
Amir Klein
What's that? Can you, can you hear me?
- [28:49]
GPT Voice AI
Everything's working fine on my end. How can I help you today?
- [28:53]
Amir Klein
So I want you to interview me for a Product Sense interview. I'm interviewing for a role@Monday.com as an AI product manager and I need you to give me a Product Sense question. It's really important that you don't guide me in anything, that you are super candid, that you let me take the reins on where I take this interview and in terms of like the direction. Don't lead me to anything, don't be specific or give me any hints. And at the end of it, give me some candid feedback. Let me know if that makes sense to you.
- [29:28]
GPT Voice AI
That makes perfect sense. I'm happy to help you prep for your interview. So let's dive right in. Here's a Product Sense question for you. Imagine you are tasked with improving the user experience for one of Monday.com's AI powered features. How would you go about identifying areas of improvement and what steps would you take to implement those improvements? Feel free to take it in any direction you like.
- [29:53]
Amir Klein
Claire, I'm going to stop there. I'm not going to do the interview with you.
- [29:55]
Claire Vo
That's great. You know, like, I don't want people to see if I'm a good or bad also product.
- [30:00]
Amir Klein
Like we should be doing products all the time. But no. Yeah, if you could have caught me like a couple years ago, I probably wouldn't be able to ace that interview right now.
- [30:07]
Claire Vo
No, this one's great. I mean, what I think I want to call it for, for folks. So thank you for being a good sport. That was really, really good for folks listening at home. Give a small round of applause for Amir. So the thing that I want to call out that I think is, is really great in your setup is again, you gave it a job like you're going to help me prep for interviews. And then we're all so frustrated with how nice AI is. It's so nice and it wants you to succeed. And I'll sort of craft you into questions that like, lead you to the right answer. And I think your caveats that you called out in prepping the voice agent are really important, right? Like, don't lead me to anything. Be super candid, kind of be objective, give me a real interview and then from finalize with, with some feedback. And I think that's really great feedback. The other thing that I want to call out is how natural. It doesn't feel natural to do GPT voice mode on a podcast live that, you know, thousands of people are going to watch, but it does feel natural to speak and practice interviewing with voice. It's not the same to sit there and type out an answer to a question. And in fact, like, your written communication skills are just very different than your verbal communication skills. And so I think the, the process if, if folks were listening of just how the intonation of the voice, how they ask the questions, how you can interact sort of live, I do think simulates the interview process a lot better than sort of like a text based GBT would.
- [31:40]
Amir Klein
No, for sure, I would never do that. Text based. Absolutely. It's supernatural. It's, it's oddly natural. So 100%.
- [31:50]
Claire Vo
And then I'm gonna call out a couple other, you know, maybe adjacent use cases that people can be inspired by. My, my darling husband is one of the people that can prep for public speaking by like going to the bathroom and speaking in the, in the mirror. And I can't, I can't do it. I, I hate, I hate looking at myself too much, which is odd to say for, for a podcast host, but you know, just thinking about maybe doing kind of like speech and public speaking prep via voice mode. Like, where did I do well? Where did I not do well? And then I'm even thinking for my kids, we're doing a really, we're trying to do a consistent job of getting them to read out loud at night and think about their punctuation and emphasis on that. And I'm like, oh my gosh, my kids should do oral dictation to GPT voice mode and get a little, get a little feedback. Although I Love, I love our bedtime story time. Do that.
- [32:45]
Amir Klein
No, totally. The world of AI with kids is unreal. It's unreal. Which is, you know, we can go that for hours as well. The stuff that I do with my daughter is so much fun.
- [32:55]
Claire Vo
I think at some point we're going to do a round table parents in AI episode where we get like half a dozen of us on to talk about all of our tips and tricks. Okay Amir, this is so great. So just going back to the beginning, what do we cover? Product GPTs using Quad to help you discover and technically implement ways to access customer and market feedback data, do data analysis and then as you say, create these GPTs as a secondary brain that you can ping pong with that you can go back and forth with and have a thought partner on. You taught us how to take feedback well, which is AI aside a really good trait. But take feedback and then put that feedback from your, your boss or your peers into a custom GPT that then can coach you and improve something you need to prove on for you. It was using concise writing tactics and then the third piece, again a very feedback oriented person. You prepare for interviews, you want to do a great job. There's a lot of resources out there to prepare for interviews well. And so you use GPT voice to do mock interviews and not only do mock interviews but get ongoing feedback about how you're improving on product sense and products execution interviews. So you really are dependent or at least a power user of AI.
- [34:16]
Amir Klein
I love the power user. I love the power user. I think there's there was in like my company they really try to reinforce AI to everybody and they did this like top 10 AI powered like PMs using AI since January 2025. My son was born in February so I was on pat leave for two months. So I was active at the company for four months of this six month range. There is 90PMs there. I was number four of power users and I have a two month delay on people so I'm consider myself number one or number two. And I also want to add like a bonus thing Claire, if that's all right that your episodes inspired me a lot that I vibe coded a scraper that can do what I did for anyone. It's in the works. I wish that I finished it up until this point. But basically like the concept is what I wanted. Find any discussion anywhere where users can kind of just write in their own natural language what they want to scrape from any platform. So let's say for instance I have like, I want every discussion that relates to aiwithemoney.com I have hard mentions that with all the keywords, it'll always reference that towards whatever it is. I'm searching the platform that I want the output and then I want it to search for it and give me the file. So it's in the works. It's not done yet. I have like, the results are okay, but when it's out there, I'll share it.
- [35:42]
Claire Vo
Well, if it's live by the time we put this episode out, we will link to that in the show notes or we'll do a follow up. And I'm happy to be a beta user because that looks super useful. All right, we're going to wrap up with two lightning round questions and get you back to some spending time with voice mode. My first question is for PMs that are not on the top of that leaderboard. What do you think the number one thing they're missing out on is?
- [36:12]
Amir Klein
Honestly, it's the ability to be at so many places simultaneously. That's really what it is. I can be asked on the spot from pretty much anyone in the company about something and I can give you an answer really quickly. I couldn't have done that pre AI.
- [36:29]
Claire Vo
Amazing. I. I think it's such a great. I mean, it's, you know, as a, as a leader, it's our favorite trait of our favorite PMs is know everything are everywhere at all times. It's really tough as a PM to do that though, because of, you know, just physical limitations, space, time, mental capacity, all that kind of stuff. And so, you know, I do recommend these, these tools because they just give you a lot of horsepower in terms of answering questions, getting stuff done right away, and holding all that context without totally, totally breaking your brain. Okay, last and final question. I ask everybody. When AI is not listening and it's giving you bad results or analyzing your data incorrectly, what is your tactic for getting it back on track? Do you bribe it with money?
- [37:17]
Amir Klein
I just yell. I just yell. I'm invoice someone anyways, right? Can you not hear my tone?
- [37:24]
Claire Vo
You were the first person that's admitted to getting, getting angry with AI on this podcast.
- [37:30]
Amir Klein
So pre, pre. Voice. It was caps. I'll be like, this is not what I asked for. And now Voice, you can, you can get upset. No, but in. Mostly what I do is I'll copy the response and I'll say, this isn't what I was looking for. This is an example what I was looking for. That's usually what I do to just have some sort of benchmark reflection on it.
- [37:52]
Claire Vo
Amazing. All right, well, thank you so much for sharing your workflows with us. Where can we find you and how can we be helpful?
- [37:58]
Amir Klein
I'm like, not too active on social media. I like pop into LinkedIn from time to time, so that's always good. And honestly, anyone who's posting anything cool on what they do with AI is super, super helpful. The list of things that I do here, a majority of it is just inspiration from what I've seen online. So keep it up.
- [38:17]
Claire Vo
Great. Well, you keep it up as well. Thanks for being here.
- [38:20]
Amir Klein
Of course, Claire. Thank you for having me.
- [38:22]
Claire Vo
Thanks so much for watching. If you enjoyed this show, please like and subscribe here on YouTube or even better, leave us a comment with your thoughts. You can also find this podcast on Apple Podcasts, Spotify or your favorite podcast app.
- [38:36]
Narrator/Host
Please consider leaving us a rating and.
- [38:38]
Claire Vo
Review which will help others find the show. You can see all our episodes and learn more about the show@howiaipod.com See you next time.