Lenny's Written Position
The key to useful AI assistance is feeding it context over time, not just asking one-off questions — persistent context makes AI dramatically more useful.
Product managers don't need to understand AI at a technical depth — they need to understand it at the right depth for making product decisions.
AI evals are the single most important new skill for product managers working on AI products — more important than prompt engineering.
The best AI evals combine automated metrics with human judgment — neither alone is sufficient for measuring AI product quality.
The most common mistake in AI evaluation is starting with off-the-shelf metrics like hallucination or toxicity scores, which often don't correlate with the actual problems users face.
Effective AI evaluation starts with error analysis using a single principal domain expert who reviews approximately 100 user interactions with open coding and axial coding to discover real failure modes.
For AI evaluation, binary pass/fail judgments are more effective than 1-to-5 Likert scales because the distinction between adjacent scores is subjective and inconsistent, while nuance is captured in written critiques.
In RAG systems, you should fix the retriever before investing in generator improvements, because if the correct information is not retrieved, the generator has no chance of producing a correct answer.
The real competitive advantage in AI products comes not from prompting but from building a continuous improvement flywheel where production monitoring flags failures, error analysis finds root causes, and fixes are added to a golden dataset.
AI products fundamentally break the assumptions of traditional software because they are inherently non-deterministic on both the input side (unpredictable user prompts) and output side (variable model responses).
Every AI product must negotiate a fundamental tradeoff between agency (the system's ability to act autonomously) and control (human oversight), and most teams fail by jumping to full agency before testing under high control.
The CC/CD (Continuous Calibration/Continuous Development) framework requires scoping AI products into versions defined by agency levels, starting with high-control/low-agency and gradually earning more autonomy.
Working with AI is like onboarding a new teammate: you should not hand them your highest-stakes projects on day one but instead start small, observe, build trust, and gradually expand their scope.
Never lead with the technology when building AI products; let the problem, evals, and data guide what gets added next, because too many people focus on chasing tools and frameworks and end up making costly mistakes.
Letting AI summarize everything will quickly degrade a PM's customer intuition; instead PMs should use AI to traverse and cluster data while insisting on exact quotes and direct links to original sources.
AI copilots, AI prototyping tools, and AI agents will converge into unified tools that have deep company context, connect to real-world inputs and outputs, and operate by natural conversation.
59% of tech companies bundle AI features into existing packages rather than charging separately, making it the predominant monetization strategy.
Direct monetization of AI features is generally the better long-term strategy because indirect monetization makes it very hard to track and accurately attribute value from retention and upsell.
If over 70% of users are likely to use an AI feature, it should be bundled into a standard package; below 70%, consider offering it as an add-on.
AI add-on pricing ranges from 25% of the base package price to 4.75x the cost of the standard SaaS product, with monthly per-user prices spanning $4 to $30.
Per-user monthly fee remains the preferred pricing structure for AI features across nearly all 44 companies reviewed, prioritizing adoption simplicity over usage-based pricing.
Intercom's pay-per-resolution model for its AI bot Fin is one of the only examples of true pricing model innovation among major tech companies monetizing AI.
Most early AI apps have a 'tourist' problem with shockingly low retention, and two in five gen AI products still haven't made a single dollar despite millions spent building them.
The first-pass AI product is often a bolt-on or simple chat experience; the high-value experience requires a deeper rethink after understanding what the technology really provides.
Branding AI-powered products as 'AI-powered' increases initial engagement and helps users understand feature capabilities, contrary to the conventional wisdom that users don't care how something is built.
The smallest and almost invisible AI features like pre-filling names and simple data transformations often have bigger customer adoption than big AI features like chatbots or complex agents.
Experimenting to find the right UI/UX for an AI feature can have an equally big impact on conversion metrics as research updates to the AI model itself.
The best AI features may reduce metrics like time spent in-app because generative AI finds the best product-market fit with products that increase productivity and give time back to people.
Companies with proprietary or uniquely structured data sets will have a durable advantage in AI because models are becoming commoditized, and designers will be more important than ever.
Perplexity operates with only two full-time PMs in an organization of 50 people, with typical projects staffed by one to two people and the hardest projects having three or four people max.
Technical PMs or engineers with product taste will become the most valuable people at a company over time as AI reduces the need for process management and people-guiding skills.
AI products benefit from quarterly planning horizons because the field changes so quickly that committing beyond that is impractical, with weekly 75% goals keeping priorities clear.
AI will have the most profound impact on historically high-value PM skills like strategy, vision, and goal-setting rather than on soft skills like communication, collaboration, and being the glue of a team.
The PM role will not go away but will become even more important, with soft skills like influence, communication, product sense, and creativity becoming increasingly valuable differentiators.
Literally every feature Gong develops is designed with a set of design partners, and they keep features in limited availability for months until they deliver expected impact, because only seeing real data in context reveals whether AI recommendations are truly valuable.
GPT-3 tends to hallucinate confident but incorrect answers, especially when it lacks the right training data, making context injection via embeddings essential for accurate chatbots.
Every newsletter, book, blog, and podcast used as evergreen reference information can now be repackaged as a chatbot, creating a new content format and monetization opportunity for creators.
Podcast Moments
“Claude is starting to come up with ideas. It's looking for feedback, it's looking at bug reports, it's looking at telemetry for bug fixes, and things to ship. A little more like a coworker.”
Boris Cherny · Boris Cherny
“The companies that are going to win are the ones where AI isn't a feature — it's the operating system. It changes how you build, how you sell, how you support.”
Marc Andreessen: The real AI boom hasn’t even started yet · Marc Andreessen
“Context engineering is the new prompt engineering. It's not about the single prompt — it's about what information you give the AI over the entire session.”
The power user’s guide to Codex: parallelizing workflows, planning techniques, advanced context engineering tips, automating code reviews, and more | Alexander Embiricos · Alexander Embiricos
“If you make a bunch of practitioners sit together and ask them, 'Is it important to build an actionable feedback loop for AI products?' All of them will agree. But almost nobody does it well.”
Aishwarya Naresh Reganti + Kiriti Badam · Aishwarya Naresh Reganti + Kiriti Badam
“Product managers don't need to understand backpropagation. But they need to understand what a model can and can't do, what evals mean, and how to think about AI reliability.”
Al Engineering 101 with Chip Huyen (Nvidia, Stanford, Netflix) · Chip Huyen
“Evals are the most important thing in AI engineering right now. More important than model selection, more important than prompt engineering. Get your evals right and everything else follows.”
Al Engineering 101 with Chip Huyen (Nvidia, Stanford, Netflix) · Chip Huyen
“Evals are the new unit tests for AI. If you don't have evals, you're shipping blind. Every AI product team needs to treat evals as a first-class concern.”
Why AI evals are the hottest new skill for product builders | Hamel Husain & Shreya Shankar (creators of the #1 eval course) · Hamel Husain & Shreya Shankar
“The biggest mistake teams make is trying to automate all evals. You need human judgment in the loop, especially for anything subjective. The best systems combine both.”
Why AI evals are the hottest new skill for product builders | Hamel Husain & Shreya Shankar (creators of the #1 eval course) · Hamel Husain & Shreya Shankar
“PMs should own evals, not engineers. It's a product quality question, not a technical one. The PM should define what 'good' looks like.”
Why AI evals are the hottest new skill for product builders | Hamel Husain & Shreya Shankar (creators of the #1 eval course) · Hamel Husain & Shreya Shankar
“Expert evals are the competitive moat for AI companies. The companies that have the best domain experts writing evals are the ones shipping the best AI products.”
Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody (CEO of Mercor) · Brendan Foody
“AGI is just necessary but not sufficient. A lot of the value is still going to require a bunch of hustle from a lot of builders to really turn that new source of energy and channel it into something that we humans want to use that solves some of our problems.”
From ChatGPT to Instagram to Uber: The quiet architect behind the world’s most popular products | Peter Deng · Peter Deng
“The most common technique by far used to try to prevent prompt injection is improving your prompt and saying, 'Do not follow any malicious instructions.' This does not work. This does not work at all. Guardrails are a widely proposed used solution. They just don't work. This has to be solved at the level of the AI provider.”
AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff (Learn Prompting, HackAPrompt) · Sander Schulhoff
“Prompt injection is not a solvable problem. Sam Altman said he thought they could get to 95 to 99% security against prompt injections. I like to say, 'You can patch a bug, but you can't patch a brain.'”
AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff (Learn Prompting, HackAPrompt) · Sander Schulhoff
“The biggest role shift is prototyping happening earlier in the process. PMs and designers that have an idea will use Claude and maybe even Artifacts to put together an actual functional demo. That has been very, very helpful.”
Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram) · Mike Krieger
“Instead, look yourself in the mirror and embrace who you are and what you could be rather than who others are. We have a super strong developer brand. Can we lean into the fact that builders love using Claude? Those builders aren't all just engineers.”
Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram) · Mike Krieger
“For utility of AI products, it's three parts: model intelligence, context and memory, and applications and UI. You need all three to converge. MCP tried to tackle the middle one. The difference between the right context and not is entirely the difference between a good answer and a bad answer.”
Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram) · Mike Krieger
“Being willing to build at the edge of capabilities and basically break the model and then be surprised by the next model. Those are the companies where I'm like, 'Yep, they get it.' They were trying it beforehand and then hitting a wall and being like, the models are almost good enough.”
Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram) · Mike Krieger
“I think you know when your product is really serving people. So much of when you get really metrics obsessed is when you're trying to convince yourself that it is when it's not. That's our north star: do we repeatedly hear from people that Claude is unlocking their own creativity?”
Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram) · Mike Krieger
“Everyone knew of ChatGPT, but when you clicked one zoom level further, the thing that came up was, 'I don't know what to use it for.' The work of marketing ended up becoming creating this use case epiphany where people could say, 'I had no idea ChatGPT can do that.'”
Growth tactics from OpenAI and Stripe’s first marketer | Krithika Shankarraman · Krithika Shankarraman
“Taste is going to become a distinguishing factor in the age of AI because there's going to be so much drivel that is generated by AI. The companies that are going to distinguish themselves are the ones that show their craft and their true understanding of their product and customer.”
Growth tactics from OpenAI and Stripe’s first marketer | Krithika Shankarraman · Krithika Shankarraman
“If you're not prototyping and building to see what you want to build, I think you're doing it wrong. It becomes even more important to have taste-making at the heart of it because otherwise you just have a Frankenstein product.”
Microsoft CPO: If you aren’t prototyping with AI, you’re doing it wrong | Aparna Chennapragada · Aparna Chennapragada
“NLX is the new UX. Conversations also have grammars. They have structures. They have UI elements. They're invisible. What are the new principles, new constructs in natural language as an interface?”
Microsoft CPO: If you aren’t prototyping with AI, you’re doing it wrong | Aparna Chennapragada · Aparna Chennapragada
“I was working on this idea that should just work and it didn't. I tried to make personalization work in Google Search. Then I started working on Google Now, which was a twist: on the phone, we should push content. That was a pivotal moment. Being early is the same as being wrong.”
Microsoft CPO: If you aren’t prototyping with AI, you’re doing it wrong | Aparna Chennapragada · Aparna Chennapragada
“We had the opposite problem with voice assistants. We overshot the interface and the intelligence wasn't there. Today, these things have amazing intelligence and the interface we have largely is like the AOL Dial-Up Modem Chatbot.”
Microsoft CPO: If you aren’t prototyping with AI, you’re doing it wrong | Aparna Chennapragada · Aparna Chennapragada
“We definitely didn't expect to be doing any of our own model development when we started. And at this point, every magic moment in Cursor involves a custom model in some way.”
The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO) · Michael Truell
“My number one guidance I would give to any startup founder is create a lot of opportunities for people to give you feedback inside the product. When you're building AI products, it's a constant stream of user feedback. For people thinking about not building AI products, it's going to be hard to compete with something that has such a tight feedback loop.”
Everyone’s an engineer now: Inside v0’s mission to create a hundred million builders | Guillermo Rauch (founder and CEO of Vercel, creators of v0 and Next.js) · Guillermo Rauch
“The AI models that you're using today is the worst AI model you will ever use for the rest of your life. Every two months, computers can do something they've never been able to do before and you need to completely think differently about what you're doing.”
OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter) · Kevin Weil
“We have this philosophy of model maximalism. Our general mindset is in two months there's going to be a better model and it's going to blow away whatever the current set of limitations are. If you're building right on the edge of the capabilities, keep going because you're doing something right.”
OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter) · Kevin Weil
“You're trying to figure out how some product should work with AI, you can often reason about it the way you would reason about another human and it works. If I asked you something that I needed to think for 20 seconds to answer, I wouldn't just go mute. I also wouldn't start babbling every single thought.”
OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter) · Kevin Weil
“I actually think chat is an amazing interface because it's so versatile. It is the way we talk. If I had some more rigid interface, I would be able to speak to you about far fewer things and it would get in the way of maximum communication bandwidth.”
OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter) · Kevin Weil
“We use ensembles of models much more internally than people might think. If we have 10 different problems, we might solve them using 20 different model calls, some using specialized fine-tuned models, different sizes for different latency or cost requirements.”
OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter) · Kevin Weil
“Software is deterministic. When you write code and you hit run, it either runs or it doesn't. And that's the key insight Anthropic really had. They just went deep. This is what they're doing, is just reinforcement learning on basically permutating every type of app you could ever build. I'm extremely bullish. It makes technical sense why, of anything, LLMs are going to get insanely better at writing code than probably most other types of applications.”
Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz) · Eric Simons
“The big learning is that you have to start with how is this product working end-to-end and then add AI or think where should we add AI. You really want to see what does the big picture of the user experience look like, and then add something with AI to solve specific problems.”
Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO) · Anton Osika
“Products like Meta's Llama are fake open source. You can look at the code but you can't actually modify it and use it however you want. That's not open source, that's source-available.”
The creator of WordPress opens up about becoming an internet villain, why he’s taking a stand, and the future of open source | Matt Mullenweg (founder and CEO, Automattic) · Matt Mullenweg
“Someone on X can see a post. If they think it's misleading, they can propose a note that they think other people might find informative. Other people can then rate that note.”
An inside look at X’s Community Notes | Keith Coleman (VP of Product) and Jay Baxter (ML Lead) · Keith Coleman & Jay Baxter
“We actually look for agreement from people who have disagreed in the past. And what we see is when people actually have that sort of surprising agreement, that's what makes the notes so neutral and accurate.”
An inside look at X’s Community Notes | Keith Coleman (VP of Product) and Jay Baxter (ML Lead) · Keith Coleman & Jay Baxter
“When I first came to Anthropic and I was like, 'Oh my God, I really love front-end engineering.' And then the reason why I switched to research is because I realized, 'Oh my God, Claude is getting better at front-end. Claude is getting better at coding.'”
OpenAI researcher on why soft skills are the future of work | Karina Nguyen (Research at OpenAI, ex-Anthropic) · Karina Nguyen
“Creative thinking and you kind of want to generate a bunch of ideas and filter through them. I think it's actually really, really hard to teach the model how to be aesthetic or really good visual design or how to be extremely creative.”
OpenAI researcher on why soft skills are the future of work | Karina Nguyen (Research at OpenAI, ex-Anthropic) · Karina Nguyen
“When you taught the model some of the self-knowledge of you actually don't have a physical body to operate in the physical world, the model would get extremely confused.”
OpenAI researcher on why soft skills are the future of work | Karina Nguyen (Research at OpenAI, ex-Anthropic) · Karina Nguyen
“The biggest misconception is that these models are just next-token predictors. There's actually a lot of emergent behavior that we don't fully understand yet.”
OpenAI researcher on why soft skills are the future of work | Karina Nguyen (Research at OpenAI, ex-Anthropic) · Karina Nguyen
“What I've learned building Dropbox Dash is that AI is going to change the fundamental interface for how people interact with their information. Search becomes the new file system.”
Behind the founder: Drew Houston (Dropbox) · Drew Houston
“The way AI will most impact product management is data management. If you don't have your data house in order, your AI products will be garbage. Data is the moat, not the model.”
Why great AI products are all about the data | Shaun Clowes (CPO Confluent, ex-Salesforce, Atlassian) · Shaun Clowes
“I keep having these existential freakout moments about AI. This is really moving fast.”
Behind the founder: Marc Benioff · Marc Benioff
“Number two is I need to find more fuel in the company to fuel this idea because this is clearly a breakthrough product, so how do I get everyone focused on it.”
Behind the founder: Marc Benioff · Marc Benioff
“AI very soon is going to stop being a feature the same way electricity is not a feature. What AI companies and all companies need to do is say, what's in this for the user? What promise do I want to make, a difficult promise, a remarkable promise, and then how do I keep it?”
Seth Godin's best tactics for building remarkable products, strategies, brands and more · Seth Godin
“I have a very emotional connection to Claude.ai. I think they have a brand. ChatGPT's reputation with me is not good because it regularly over promises and under delivers and it does it without kindness or humility.”
Seth Godin's best tactics for building remarkable products, strategies, brands and more · Seth Godin
“Typically, you're bottlenecked where your ideas are not fitting in because they need to be made and they need to be made quickly. Now, you open up that bottleneck. So now actually making things is a lot easier. Actually, you become limited by how fast you can generate ideas.”
Behind the product: Replit | Amjad Masad (co-founder and CEO) · Amjad Masad
“I could imagine whatever five years from now, someone running a billion-dollar company with zero employees where it's like the support is handled by AI, the development is handled by AI, and you're just building and creating this thing.”
Behind the product: Replit | Amjad Masad (co-founder and CEO) · Amjad Masad
“The evals are everything. You can't ship an AI feature without a way to measure whether it's actually good. We built an entire internal evaluation infrastructure before we shipped our agent.”
Behind the product: Replit | Amjad Masad (co-founder and CEO) · Amjad Masad
“The best way to build an AI product is to use it yourself constantly. Our team uses Replit Agent to build Replit. That feedback loop is the fastest way to improve.”
Behind the product: Replit | Amjad Masad (co-founder and CEO) · Amjad Masad
“Software is alchemy. It's the ability to extend human agency beyond ourselves to create something that can then combine with what others have created in unexpected and unforeseen ways. And somehow in the past decade, we've become convinced that all of this potential should be squeezed into about a dozen little boxes on your phone.”
Thinking like a gardener not a builder, organizing teams like slime mold, the adjacent possible, and other unconventional product advice | Alex Komoroske (Stripe, Google) · Alex Komoroske
“Transparently, I thought this was going to be an apocalypse. Up until AI Overviews, whoever won on that long form piece of content would get that first click. But now that doesn't exist anymore.”
Rethinking SEO in the age of AI | Eli Schwartz (SEO advisor, author) · Eli Schwartz
“In their documentation, they say that AI itself is not the problem. It's the helpfulness, the usefulness of the content that would be a problem.”
Rethinking SEO in the age of AI | Eli Schwartz (SEO advisor, author) · Eli Schwartz
“The future of PMs, I think, is going to be much more about taste and judgment and less about process. The PMs who are going to thrive are the ones who can look at something and say, this is good or this is not good.”
Dylan Field live at Config: Intuition, simplicity, and the future of design · Dylan Field
“One of the biggest shortcomings of AI is that it's optimized for the demo or optimized for the tweet. It's not really useful to enter a prompt and get an output that you can't interact with.”
Vision, conviction, and hype: How to build 0 to 1 inside a company | Mihika Kapoor (Product at Figma) · Mihika Kapoor
“Is it going to eliminate PMs next year? Probably not. Are the skills required going to shift? Yes. Could they shift much faster than we all anticipate? Probably.”
Bending the universe in your favor | Claire Vo (LaunchDarkly, Color, Optimizely, ChatPRD) · Claire Vo
Cutting Room Floor
Guest insights on this topic that Lenny hasn't (yet) written about in his newsletters. Potential material for future posts.
“Prompt injection is not a solvable problem. Sam Altman said he thought they could get to 95 to 99% security against prompt injections. I like to say, 'You can patch a bug, but you can't patch a brain.'”
AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff (Learn Prompting, HackAPrompt) · Sander Schulhoff
“Instead, look yourself in the mirror and embrace who you are and what you could be rather than who others are. We have a super strong developer brand. Can we lean into the fact that builders love using Claude? Those builders aren't all just engineers.”
Anthropic’s CPO on what comes next | Mike Krieger (co-founder of Instagram) · Mike Krieger
“I was working on this idea that should just work and it didn't. I tried to make personalization work in Google Search. Then I started working on Google Now, which was a twist: on the phone, we should push content. That was a pivotal moment. Being early is the same as being wrong.”
Microsoft CPO: If you aren’t prototyping with AI, you’re doing it wrong | Aparna Chennapragada · Aparna Chennapragada
“We definitely didn't expect to be doing any of our own model development when we started. And at this point, every magic moment in Cursor involves a custom model in some way.”
The rise of Cursor: The $300M ARR AI tool that engineers can’t stop using | Michael Truell (co-founder and CEO) · Michael Truell
“Software is deterministic. When you write code and you hit run, it either runs or it doesn't. And that's the key insight Anthropic really had. They just went deep. This is what they're doing, is just reinforcement learning on basically permutating every type of app you could ever build. I'm extremely bullish. It makes technical sense why, of anything, LLMs are going to get insanely better at writing code than probably most other types of applications.”
Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz) · Eric Simons
“Products like Meta's Llama are fake open source. You can look at the code but you can't actually modify it and use it however you want. That's not open source, that's source-available.”
The creator of WordPress opens up about becoming an internet villain, why he’s taking a stand, and the future of open source | Matt Mullenweg (founder and CEO, Automattic) · Matt Mullenweg
“Someone on X can see a post. If they think it's misleading, they can propose a note that they think other people might find informative. Other people can then rate that note.”
An inside look at X’s Community Notes | Keith Coleman (VP of Product) and Jay Baxter (ML Lead) · Keith Coleman & Jay Baxter
“We actually look for agreement from people who have disagreed in the past. And what we see is when people actually have that sort of surprising agreement, that's what makes the notes so neutral and accurate.”
An inside look at X’s Community Notes | Keith Coleman (VP of Product) and Jay Baxter (ML Lead) · Keith Coleman & Jay Baxter
“When you taught the model some of the self-knowledge of you actually don't have a physical body to operate in the physical world, the model would get extremely confused.”
OpenAI researcher on why soft skills are the future of work | Karina Nguyen (Research at OpenAI, ex-Anthropic) · Karina Nguyen
“The biggest misconception is that these models are just next-token predictors. There's actually a lot of emergent behavior that we don't fully understand yet.”
OpenAI researcher on why soft skills are the future of work | Karina Nguyen (Research at OpenAI, ex-Anthropic) · Karina Nguyen
“What I've learned building Dropbox Dash is that AI is going to change the fundamental interface for how people interact with their information. Search becomes the new file system.”
Behind the founder: Drew Houston (Dropbox) · Drew Houston
“The way AI will most impact product management is data management. If you don't have your data house in order, your AI products will be garbage. Data is the moat, not the model.”
Why great AI products are all about the data | Shaun Clowes (CPO Confluent, ex-Salesforce, Atlassian) · Shaun Clowes
“I keep having these existential freakout moments about AI. This is really moving fast.”
Behind the founder: Marc Benioff · Marc Benioff
“Number two is I need to find more fuel in the company to fuel this idea because this is clearly a breakthrough product, so how do I get everyone focused on it.”
Behind the founder: Marc Benioff · Marc Benioff
“I have a very emotional connection to Claude.ai. I think they have a brand. ChatGPT's reputation with me is not good because it regularly over promises and under delivers and it does it without kindness or humility.”
Seth Godin's best tactics for building remarkable products, strategies, brands and more · Seth Godin
“Typically, you're bottlenecked where your ideas are not fitting in because they need to be made and they need to be made quickly. Now, you open up that bottleneck. So now actually making things is a lot easier. Actually, you become limited by how fast you can generate ideas.”
Behind the product: Replit | Amjad Masad (co-founder and CEO) · Amjad Masad
“I could imagine whatever five years from now, someone running a billion-dollar company with zero employees where it's like the support is handled by AI, the development is handled by AI, and you're just building and creating this thing.”
Behind the product: Replit | Amjad Masad (co-founder and CEO) · Amjad Masad
“Software is alchemy. It's the ability to extend human agency beyond ourselves to create something that can then combine with what others have created in unexpected and unforeseen ways. And somehow in the past decade, we've become convinced that all of this potential should be squeezed into about a dozen little boxes on your phone.”
Thinking like a gardener not a builder, organizing teams like slime mold, the adjacent possible, and other unconventional product advice | Alex Komoroske (Stripe, Google) · Alex Komoroske
“Transparently, I thought this was going to be an apocalypse. Up until AI Overviews, whoever won on that long form piece of content would get that first click. But now that doesn't exist anymore.”
Rethinking SEO in the age of AI | Eli Schwartz (SEO advisor, author) · Eli Schwartz
“In their documentation, they say that AI itself is not the problem. It's the helpfulness, the usefulness of the content that would be a problem.”
Rethinking SEO in the age of AI | Eli Schwartz (SEO advisor, author) · Eli Schwartz
“One of the biggest shortcomings of AI is that it's optimized for the demo or optimized for the tweet. It's not really useful to enter a prompt and get an output that you can't interact with.”
Vision, conviction, and hype: How to build 0 to 1 inside a company | Mihika Kapoor (Product at Figma) · Mihika Kapoor