Best Podcast Episodes About Lenny's Product Pass
Everything podcasters are saying about Lenny's Product Pass — curated from top podcasts
Updated: Apr 02, 2026 – 14 episodes
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Ridealong has curated the best and most interesting podcasts and clips about Lenny's Product Pass.
Top Podcast Clips About Lenny's Product Pass
“durable legal protections. And laws are, you know, something that create accountability that drives safer product design. And when we see safer product designs, that shapes the public experience of these technologies. So these are things that really act together. And together is kind of where we see the outcomes that we want and build towards that better future. Can you give us an example? Yeah. So I think one of the examples that's really important from this report is that right now, there's really no clear legal mechanisms in place to hold AI companies …”
“durable legal protections. And laws are, you know, something that create accountability that drives safer product design. And when we see safer product designs, that shapes the public experience of these technologies. So these are things that really act together. And together is kind of where we see the outcomes that we want and build towards that better future. Can you give us an example? Yeah. So I think one of the examples that's really important from this report is that right now, there's really no clear legal mechanisms in place to hold AI companies accountable for the harms of their products. And this is a really important problem. People are actively being harmed by AI systems, and we can expect those harms to grow as AI becomes more deeply embedded in our day-to-day lives. So that's the problem. And I think the solution that we want to build towards, the better future that we want, is that …”
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AI companies currently lack clear legal accountability for the harms their products cause, leading to significant risks as AI becomes more integrated into daily life. To improve safety, we must shift our perspective and treat AI as a product, holding companies responsible for their designs. Just like car manufacturers are expected to provide safety features, AI firms should be held to the same standard for consumer protection.
“… it's like you're almost there. A digital thing that is your assistant that you carry with you is, in fact, going to be the most important consumer product of humanity. But it's not this one. It's not. You're close, but it's not this one. And even without the internet, the Palm digital assistant said, hey, Newton, the Palm 7 will eventually have cell radio in it. But even before that, if you just make it smaller and cheaper and make it play games, people will buy it. And it'll be more popular than your gigantic multi-thousand dollar huge thing because it's just a better product design. We made it …”
“… something from Star Trek. And it's got handwriting recognition. And you can draw pictures. And if you draw a triangle, we'll see that you're trying to draw a triangle. It'll turn into a perfect triangle. And it's got a stylus. Isn't this amazing? And it's like you're almost there. A digital thing that is your assistant that you carry with you is, in fact, going to be the most important consumer product of humanity. But it's not this one. It's not. You're close, but it's not this one. And even without the internet, the Palm digital assistant said, hey, Newton, the Palm 7 will eventually have cell radio in it. But even before that, if you just make it smaller and cheaper and make it play games, people will buy it. And it'll be more popular than your gigantic multi-thousand dollar huge thing because it's just a better product design. We made it cheaper. We made it smaller. The battery lasts longer. You can play cute little games on it. You can read e-books on it. We learned from what you did wrong, and we did it a little bit better. and then obviously the iPhone is going to come and say, no, actually, this is it. The tech is here to do this now. So thanks for the warm-up, but we got it …”
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The Apple Newton was a groundbreaking concept for a personal digital assistant, but it ultimately failed due to poor design and lack of integration. In contrast, the Palm Pilot succeeded by being smaller, cheaper, and more user-friendly, paving the way for the eventual success of the iPhone. This evolution highlights how design and user experience can make or break technology products.
“And similarly, your model behavior here with AI products would be iterative versus a fixed feature of a traditional product. In this case, the earlier button example that I was talking about, every time you click that purple button, it will lead to something similar. Versus here, you're iterative with your model. Any new change, you need to retest your model. you need to understand what is changing among your model behavior. So it's a very iterative process. And then your unit economics are also …”
“And similarly, your model behavior here with AI products would be iterative versus a fixed feature of a traditional product. In this case, the earlier button example that I was talking about, every time you click that purple button, it will lead to something similar. Versus here, you're iterative with your model. Any new change, you need to retest your model. you need to understand what is changing among your model behavior. So it's a very iterative process. And then your unit economics are also very different, where your traditional products have predictable cost structures Now because of this probabilistic nature of AI products your unit economics of AI products are also variable It depends on how long your LLM probably would give you an answer or how short of an answer it could be And last but not the least, you now need to emphasize a lot …”
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Nineteen out of twenty AI pilots fail because teams often choose the wrong problems to solve. Understanding when to apply AI is crucial; it excels in pattern recognition, predicting outcomes with historical data, and creating personalized experiences at scale. These insights can significantly improve your chances of successful AI implementation.
“… you can become smart if you have curiosity and hunger and staying power and persistence. You can't teach hunger. Today, my guest is G2 Patel, Chief Product Officer and President at Cisco. Cisco is not a brand that mostly people think about when they think about AI, but not only are they a massive part of the AI infrastructure build-out that is happening right now all over the world. What G2 has achieved internally at Cisco in terms of transforming their culture and ways of working to be AI first is something that most big company leaders only dream about. G2 is also an incredible human with so …”
“… do is establish enough trust among the team so that you are comfortable critiquing and debating in public. What's something that you wish you'd known before taking on this role? Stamina trumps intellect. It's very important to have smart people, but you can become smart if you have curiosity and hunger and staying power and persistence. You can't teach hunger. Today, my guest is G2 Patel, Chief Product Officer and President at Cisco. Cisco is not a brand that mostly people think about when they think about AI, but not only are they a massive part of the AI infrastructure build-out that is happening right now all over the world. What G2 has achieved internally at Cisco in terms of transforming their culture and ways of working to be AI first is something that most big company leaders only dream about. G2 is also an incredible human with so much warmth and wisdom to share. I am very excited to be sharing his story. Don't forget to check out Lenny'sproductpass.com for an incredible set of deals available exclusively to Lenny's newsletter subscribers. Let's get into it after a short word from our wonderful sponsors. Applications break in all kinds of ways, crashes, slowdowns, regressions, …”
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The survival of humanity hinges on the success of AI, especially as birth rates decline and fewer people can care for an aging population. G2 Patel, Chief Product Officer at Cisco, reveals how AI is a megatrend that leaders must embrace, sharing insights from a recent summit with top tech minds. He emphasizes that stamina and adaptability are crucial for leaders navigating this rapidly changing landscape.
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Dimi Kellari shares how he transformed his passion into a thriving brand by dedicating himself fully to the process. After a rigorous six-month brand exercise, he took on every aspect of the project, leading to international expansion and a growing bank balance. This commitment not only fulfilled his purpose but also set the stage for future growth and legacy.
“… like that's the the death knell for projects right so that person can be a designer and a couple of the bets it is it can also be sort of a product-minded engineer. It's rarely a pure PM. We actually only have one, currently one PM for all of labs. We're hiring more. And they're sort of playing, you know, sort of a wide role. But yeah, a designer or like a product-oriented founder. And then what we look for is, well, what skills do we need to complement with that? So, you know, because we're doing, as part of our labs process, it's actually evaluating every project every two weeks and …”
“… thing is either proven out or dead but I want to like go either way when we have labs bets that we've wound down often in the post-mortem we're like nobody on this team actually really thought this was like the thing they were like yeah this seems reasonable like that's the the death knell for projects right so that person can be a designer and a couple of the bets it is it can also be sort of a product-minded engineer. It's rarely a pure PM. We actually only have one, currently one PM for all of labs. We're hiring more. And they're sort of playing, you know, sort of a wide role. But yeah, a designer or like a product-oriented founder. And then what we look for is, well, what skills do we need to complement with that? So, you know, because we're doing, as part of our labs process, it's actually evaluating every project every two weeks and deciding whether we double down or whether we sort of release those folks back into the broader labs pool at any given point there's probably somebody who can be pulled onto the project that has that infrastructural expertise or has worked with that particular internal system or has a lot of deep prompting expertise to sort of flow in and out so i …”
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The key to launching successful projects is having a team member with unwavering conviction in the problem space, not just the idea. Mike Krieger explains that without someone who believes deeply in the project, it often fails. This conviction, typically found in a designer or product-minded engineer, is essential for navigating challenges and driving projects to success.
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The number of conscious design decisions can make or break a product's success. A designer's ability to deliberately choose every aspect—from fonts to spacing—distinguishes them from beginners. This insight highlights the importance of intentionality in design, as seen in the thoughtful branding of Superhuman.
“… into play. They are a good way for you to treat the imperfection of LLMs from being kind of a mystery or a burden into a really fun and engaging product and engineering challenge that you can actually overcome. I think a lot of people are starting to recognize this especially as software and models and agents are changing constantly One of the things I come back to is that an eval is a relatively durable thing that you can invest in So let's say that you're working on a new product area and you use the latest agent framework and use Opus 4.5, which is the cool model right now. All of that might …”
“And that is really where evals come into play. They are a good way for you to treat the imperfection of LLMs from being kind of a mystery or a burden into a really fun and engaging product and engineering challenge that you can actually overcome. I think a lot of people are starting to recognize this especially as software and models and agents are changing constantly One of the things I come back to is that an eval is a relatively durable thing that you can invest in So let's say that you're working on a new product area and you use the latest agent framework and use Opus 4.5, which is the cool model right now. All of that might change. And, you know, you and I were just joking about this a few minutes ago, like all of that might change in a couple of weeks or a couple of months. But if you invest in evals, and by that I mean you do a good job of understanding what your users are actually trying to do with the product, and then you encode that as data and scores and eval …”
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Investing in evals is the key to creating durable AI products that can adapt as technology evolves. Unlike relying solely on the latest models, understanding user needs through evals allows product managers to build a lasting competitive advantage. This shift in focus transforms the way AI challenges are approached, making evals a foundational element of product development.
“… It is rudderless. It doesn't work well. But the under-hacking point I always try to coach many of these teams is there is nothing like a product management goal. And there is nothing like an engineering goal. There is only a product team's goal. We don't have separate agendas. The vehicle does not just wake up and decide like we are going to accomplish anything by ourselves that are meaningful. And so does the vision without the vehicle. And to the extent that I try to get them to understand an engineering goal is a product team goal. a business goal, it's a product team goal, it's an …”
“… you might have a vision. We want to go to LA. We might have a strategy. We know the routes we're going to take. But if the vehicle is not set up well, we run into problems. We might have a good vehicle that can go 500 miles an hour, but it is directionless. It is rudderless. It doesn't work well. But the under-hacking point I always try to coach many of these teams is there is nothing like a product management goal. And there is nothing like an engineering goal. There is only a product team's goal. We don't have separate agendas. The vehicle does not just wake up and decide like we are going to accomplish anything by ourselves that are meaningful. And so does the vision without the vehicle. And to the extent that I try to get them to understand an engineering goal is a product team goal. a business goal, it's a product team goal, it's an engineering goal. We plan together, we present together, we measure together, we are all accountable for outcomes. You know, the tech debt thing you have, I always say if my product manager cannot pitch tech debt like a strong business initiative with like an engineer, we've missed the mark because they don't have an understanding of the vehicle …”
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In product transformations, the key to overcoming doubt is demonstrating tangible results. Leaders must showcase not just financial gains, but the positive changes in team dynamics and customer satisfaction to build trust and momentum. By sharing internal success stories and engaging teams in discovery demos, organizations can shift from skepticism to belief in the transformation process.
“So basically, the PMs will make the product first pretty much by themselves, right? Or make the prototype at least and get some validation before doing anything else. Yeah. I mean, PMs often pride themselves on the spec, the perfect spec. And they have to understand that it's actually AI that's reading the spec now versus engineers. And so the spec itself is basically the output of a prompt. and then the output of the spec is the product. So at the end of the day, it's just prompt to …”
“So basically, the PMs will make the product first pretty much by themselves, right? Or make the prototype at least and get some validation before doing anything else. Yeah. I mean, PMs often pride themselves on the spec, the perfect spec. And they have to understand that it's actually AI that's reading the spec now versus engineers. And so the spec itself is basically the output of a prompt. and then the output of the spec is the product. So at the end of the day, it's just prompt to product, back to prompt, back to product. And yeah, we are essentially collaborating on an actual product itself and a prototype. I would even call it a prototype. It's actually a working product rather than the actual spec itself. Yeah, I always suspect that engineers don't read my specs carefully. So I always try to keep my specs to like less than …”
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At Ramp, AI is revolutionizing how product managers create and validate prototypes. By leveraging insights from over 50,000 customers, AI helps identify pain points, streamlining the transition from concept to a working product. This innovative approach allows for rapid iteration and a deeper understanding of customer needs.
“… so like showing somebody the fully formed tree is also kind of a lot all at once. And I think there's definitely something there in how do you build product these days and still keep it simple.”
“… And who are all these people? And like, I already, you know, I'm expected to have all of this context. I think there's the same kind of feeling around like developing something over time. But the tree metaphor, I think sticks too as well. And so like showing somebody the fully formed tree is also kind of a lot all at once. And I think there's definitely something there in how do you build product these days and still keep it simple.”
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Overbuilding a product can lead to confusion and complexity, as Mike Krieger discovered while developing Instagram and his recent projects at Anthropic Labs. He compares this to jumping into the final episode of a TV show without context, highlighting the importance of simplicity in product development. By focusing on core functionalities, startups can create a clearer and more engaging experience for users.
“… on like specific things that you have done and made decisions on it like my favorite interview to do is like an hour long like single project single product like walk me through i'm they're walking me through like every day of decision making essentially and like pushing them and like it's very easy to assess out when somebody maybe actually didn't own the thing or like you know doesn't really understand like the how to think about decisions and trade-offs as you're like actually building a product and and that's just like i think again a very like classic thing but i think really going deep on …”
“… into like the substance of their decision making and judgment and how they have made trade-offs like that is still the fundamental you know and like you know how they approach things first principles but like really like let's get into the weeds on like specific things that you have done and made decisions on it like my favorite interview to do is like an hour long like single project single product like walk me through i'm they're walking me through like every day of decision making essentially and like pushing them and like it's very easy to assess out when somebody maybe actually didn't own the thing or like you know doesn't really understand like the how to think about decisions and trade-offs as you're like actually building a product and and that's just like i think again a very like classic thing but i think really going deep on that stuff versus like your you know high level case studies your you know just like behavioral stuff like that it's that stuff can be really fluffy. The last session that we did on, on for coach, the actual group was, was folks that had recently gotten jobs. And they made a comment that when they were interviewing, there was a shift, not just for …”
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Identifying resourceful talent is crucial for product management roles, and using take-home assignments can reveal a candidate's ability to solve real problems. Unlike traditional interviews that focus on past experiences, assessing how candidates approach new scenarios can provide deeper insights into their decision-making skills. This shift in interviewing strategy is key to building effective product teams in today’s dynamic landscape.
“in product development, it's just going to shift to other areas, right? So if, like, coding, in effect, becomes free, the review is going to be really challenging, right? Or getting enough ideas in the first place could be a big problem or distributing them, right? So I think the attention is just going to move around it to other areas. Great. And then one other question before we go on to your next workflow, which I am so excited about, spoiler alert, is …”
“in product development, it's just going to shift to other areas, right? So if, like, coding, in effect, becomes free, the review is going to be really challenging, right? Or getting enough ideas in the first place could be a big problem or distributing them, right? So I think the attention is just going to move around it to other areas. Great. And then one other question before we go on to your next workflow, which I am so excited about, spoiler alert, is are more than engineers using minions? Are you seeing product managers, designers come in? How is this going across the company and across functions? Yeah, I think part of why I like the Slack example is the entire company is in Slack, right? And to that point of activation energy, even if you had the text editor on your computer and I gave you …”
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As coding becomes increasingly automated, the real challenge will shift to reviewing the code and generating innovative ideas. Stripe's internal AI 'minions' are already enabling non-engineers like product managers and designers to contribute by simplifying the coding process through Slack interactions. This democratization of coding raises questions about the future of collaboration across functions in tech companies.
“… not going to build all the long-tail integrations. Just the fact that we're going to go through this exercise of fundamentally rethinking what the product experience is for this stuff, is just incredibly exciting. And now it's just sort of natural language expression of what you want and the machine fulfills it. My curiosity becomes, what does the future of this UI layer look like? Will the big incumbents catch up and offer their functionality for agents? Or do we actually need new companies that cater to agents specifically? Security is always a game of defense and depth. And you're sort of, …”
“As a developer, I can totally build this, but I'm not going to build all the long-tail integrations. Just the fact that we're going to go through this exercise of fundamentally rethinking what the product experience is for this stuff, is just incredibly exciting. And now it's just sort of natural language expression of what you want and the machine fulfills it. My curiosity becomes, what does the future of this UI layer look like? Will the big incumbents catch up and offer their functionality for agents? Or do we actually need new companies that cater to agents specifically? Security is always a game of defense and depth. And you're sort of, when you hit capture and you hit the front-end bot detection stuff, that's like the tip of the spear. There's this concept in defense called the redoubt. You retreat back to the wall inside. And I think what we're going to see for a lot of these perimeter controls because of agents is that they have to move to more of the backend system. What's super …”
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The future of product experiences for AI agents hinges on how we secure them, shifting focus from front-end defenses to backend systems. As developers explore natural language interfaces, they face the challenge of ensuring security without limiting capabilities. This evolution could redefine how we interact with technology, making security a foundational aspect of AI integration.
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