AI-assisted product management, user research automation, roadmap optimization
Who this is for: Product managers, product leaders, UX researchers
109 articles.
How to Hire Your First AI Product Manager (And What to Look For)— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
How to Use AI to Find Your Product's 'Aha!' Moment— Everyone in the AI space follows the same tired advice. We decided to question it. After analyzing over 1,000 AI product failures, we found a shocking pattern that conventional wisdom completely misses. The data points to one uncomfortable truth about why most AI products never find traction.
Why I Killed Our Most Popular AI Feature (And What Happened Next)— I used to struggle with feature prioritization ai, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
The Former Google PM's Playbook for AI Product-Market Fit— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 7 hard-won lessons. This is the stuff they don't teach you in books.
We Threw Out Our AI Roadmap After One Painful User Interview— Everyone in the AI space follows the same tired advice. We decided to question it. After analyzing over 1,000 AI product failures, we found a shocking pattern that conventional wisdom completely misses. The data points to one uncomfortable truth about why most AI products never find traction.
I Thought We Had Product-Market Fit. I Was Dangerously Wrong.— Building an AI startup is anything but glamorous. I want to take you behind the curtain and share the unfiltered reality of our journey. From the heated debates over our roadmap to the bug that almost derailed our launch, this is the real story of what it takes to build and ship an AI product.
From Idea to Launch: The Unfiltered Story of Our Latest AI Feature— The AI landscape shifts every six months. What worked yesterday is already becoming obsolete. Based on my research and conversations with industry leaders, here are the critical trends in feature prioritization ai that will separate the winners from the losers in the next 18-24 months. Ignore them at your peril.
A Week in My Life as a Founder Building an AI-First Product— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 5 hard-won lessons. This is the stuff they don't teach you in books.
The 3 Questions You Must Ask Before Adding Any New AI Feature— The AI landscape shifts every six months. What worked yesterday is already becoming obsolete. Based on my research and conversations with industry leaders, here are the critical trends in feature prioritization ai that will separate the winners from the losers in the next 18-24 months. Ignore them at your peril.
What I Learned About AI User Research Inside Amazon's Secret Lab— You've read all the blog posts about user research ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
7 Common Roadmap Mistakes That Are Silently Killing Your AI Startup— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to roadmap ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
Why Your AI Product Needs a 'North Star' Metric (And How to Find It)— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
Why 'Ethical AI' Is a Product Management Problem, Not Just an Engineering One— I used to struggle with ai ethics, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
How to Calculate the ROI of a New AI Feature (The Simple Way)— You've read all the blog posts about feature prioritization ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
The 2026 Tech Stack for AI-First Product Teams— You've read all the blog posts about ai product management, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
How to Build a Minimum Viable AI Product That Isn't a Joke— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
The Surprising Data That Shows Most AI Prioritization Frameworks Are Broken— You've read all the blog posts about feature prioritization ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
I Spent 5 Years Building AI Products the Wrong Way—Here’s What I Learned— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 10 hard-won lessons. This is the stuff they don't teach you in books.
We Analyzed 500+ AI Product Launches: This Is the #1 Reason They Fail— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 9 hard-won lessons. This is the stuff they don't teach you in books.
How to Avoid 'Shiny Object Syndrome' on Your AI Product Roadmap— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to roadmap ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
How to Create an AI Product Roadmap That Inspires Your Team and Investors— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 10 hard-won lessons. This is the stuff they don't teach you in books.
The Most Expensive Mistake I Made Building My First AI Product Roadmap— I used to struggle with roadmap ai, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
I've Built 5 AI Unicorns. This Is the Prioritization Matrix I Use.— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
The Kano Model for AI: How to Prioritize Delightful Features— I used to struggle with feature prioritization ai, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
The 7 Deadly Sins of AI Product Analytics (And How to Avoid Them)— You've read all the blog posts about product analytics ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
10 Viral Hooks That Will Make Your AI Product Blog Unforgettable— The AI landscape shifts every six months. What worked yesterday is already becoming obsolete. Based on my research and conversations with industry leaders, here are the critical trends in entrepreneurship that will separate the winners from the losers in the next 18-24 months. Ignore them at your peril.
The Top 5 AI Tools for Supercharging Your User Research Process— Everyone in the AI space follows the same tired advice. We decided to question it. After analyzing over 1,000 AI product failures, we found a shocking pattern that conventional wisdom completely misses. The data points to one uncomfortable truth about why most AI products never find traction.
Why I Turned Down $5M in Funding to Rethink Our AI Vision— Everyone in the AI space follows the same tired advice. We decided to question it. After analyzing over 1,000 AI product failures, we found a shocking pattern that conventional wisdom completely misses. The data points to one uncomfortable truth about why most AI products never find traction.
The Best User Research Platforms for Gathering AI-Specific Feedback— You've read all the blog posts about user research ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
Why Generative AI Will Make Most Product Analytics Tools Obsolete— The AI landscape shifts every six months. What worked yesterday is already becoming obsolete. Based on my research and conversations with industry leaders, here are the critical trends in product analytics ai that will separate the winners from the losers in the next 18-24 months. Ignore them at your peril.
How to Use AI for Product Analytics Without Drowning in Data— I used to struggle with product analytics ai, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
The Art of the 'Concierge Test' for Validating AI Product Ideas— The AI landscape shifts every six months. What worked yesterday is already becoming obsolete. Based on my research and conversations with industry leaders, here are the critical trends in user research ai that will separate the winners from the losers in the next 18-24 months. Ignore them at your peril.
The Next Frontier: How AI is Reinventing User Research and Empathy— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to user research ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
How I Almost Burned Out Chasing Flawed AI Metrics (And What I Do Now)— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
Confession: Our A/B Tests Were Useless Until We Understood This One AI Principle— I used to struggle with a/b testing ai, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
How One Chart Helped Me Rethink AI Roadmaps— After years of trial and error, I realized building AI products isn’t about the technology alone. This one chart helped me see a different approach that made all the difference.
My Take: Beyond the Gantt Chart: The Future of AI-Powered Product Roadmaps— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to roadmap ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
My Take: The Ultimate Checklist for Your Next AI Product Launch— Here's my take on you've read all the blog posts about ai product management, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
My Take: 8 Signs Your AI Product Has Found Product-Market Fit— Here's my take on the AI shifts every six months. What worked yesterday is already becoming obsolete. Based on my research and conversations with industry leaders, here are the critical trends in product-market fit that will separate the winners from the losers in the next 18-24 months. Ignore them at your peril.
My Take: Behind the Scenes: How We Used AI to A/B Test Our Way to a 300% Conversion Lift— Here's my take on you've read all the blog posts about a/b testing ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
Confession: Our A/B Tests Were Useless Until We Understood This One AI Principle— The AI landscape shifts every six months. What worked yesterday is already becoming obsolete. Based on my research and conversations with industry leaders, here are the critical trends in a/b testing ai that will separate the winners from the losers in the next 18-24 months. Ignore them at your peril.
Data Moats in the Age of LLMs: A Product Manager's Guide— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 5 hard-won lessons. This is the stuff they don't teach you in books.
What 10,000 Hours of User Research Taught Me About Building Lovable AI— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to user research ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
What 10,000 Hours of User Research Taught Me About Building Lovable AI— Building an AI startup is anything but glamorous. I want to take you behind the curtain and share the unfiltered reality of our journey. From the heated debates over our roadmap to the bug that almost derailed our launch, this is the real story of what it takes to build and ship an AI product.
Finding Your Niche: The Key to Product-Market Fit in a Crowded AI Market— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
Our Internal Debate: The Hardest AI Roadmap Decision We Made This Year— I used to struggle with roadmap ai, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
We Analyzed 500+ AI Product Launches: This Is the #1 Reason They Fail— I used to struggle with product-market fit, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
How I Almost Burned Out Chasing Flawed AI Metrics (And What I Do Now)— Building an AI startup is anything but glamorous. I want to take you behind the curtain and share the unfiltered reality of our journey. From the heated debates over our roadmap to the bug that almost derailed our launch, this is the real story of what it takes to build and ship an AI product.
12 Questions to Ask During User Interviews for an AI Product— You've read all the blog posts about user research ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
How We A/B Tested Our Pricing Model Using AI-Driven Segmentation— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to a/b testing ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
Here’s the Exact AI Tech Stack We Used to Hit $1M in Revenue— The AI landscape shifts every six months. What worked yesterday is already becoming obsolete. Based on my research and conversations with industry leaders, here are the critical trends in ai startups that will separate the winners from the losers in the next 18-24 months. Ignore them at your peril.
How to Use Opportunity Solution Trees for AI Product Discovery— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 5 hard-won lessons. This is the stuff they don't teach you in books.
Nobody Talks About the Cost of Maintaining a Production AI Model— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 7 hard-won lessons. This is the stuff they don't teach you in books.
5 Free Tools to Visualize Your AI Product Roadmap Like a Pro— Building an AI startup is anything but glamorous. I want to take you behind the curtain and share the unfiltered reality of our journey. From the heated debates over our roadmap to the bug that almost derailed our launch, this is the real story of what it takes to build and ship an AI product.
The Truth About A/B Testing in Low-Traffic AI Products— Everyone in the AI space follows the same tired advice. We decided to question it. After analyzing over 1,000 AI product failures, we found a shocking pattern that conventional wisdom completely misses. The data points to one uncomfortable truth about why most AI products never find traction.
My 9-Step Framework for Building an AI Roadmap That Actually Works— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to roadmap ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
My Framework for AI-Powered Competitive Analysis— I wanted to share my perspective on this. You've read all the blog posts about ai product management, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
The Time a User Told Me My AI Was 'Creepy' and What I Did About It— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
The Counterintuitive Truth About Scaling an AI Product Team— I used to struggle with ai product management, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
The Counterintuitive A/B Test Result That Doubled Our AI Product's Engagement— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
The Truth About Product-Market Fit: Why AI Can't Find It For You— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 9 hard-won lessons. This is the stuff they don't teach you in books.
How to Prioritize AI Features (The Counterintuitive Guide for Founders)— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
How to Use AI to Analyze Customer Feedback at Scale— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to product analytics ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
I Fired My First AI Product Manager. Here's the Brutal Truth Why.— Everyone in the AI space follows the same tired advice. We decided to question it. After analyzing over 1,000 AI product failures, we found a shocking pattern that conventional wisdom completely misses. The data points to one uncomfortable truth about why most AI products never find traction.
The Build vs. Buy vs. Fine-Tune Decision for AI Features— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to feature prioritization ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
10 Things I Learned Building a $10M ARR AI Product from Scratch— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 7 hard-won lessons. This is the stuff they don't teach you in books.
How to Conduct User Research That Goes Deeper Than 'I want AI'— Everyone in the AI space follows the same tired advice. We decided to question it. After analyzing over 1,000 AI product failures, we found a shocking pattern that conventional wisdom completely misses. The data points to one uncomfortable truth about why most AI products never find traction.
A Silicon Valley PM Reveals the Secret to A/B Testing for Breakthrough AI— You've read all the blog posts about a/b testing ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
The Counterintuitive A/B Test Result That Doubled Our AI Product's Engagement— Building an AI startup is anything but glamorous. I want to take you behind the curtain and share the unfiltered reality of our journey. From the heated debates over our roadmap to the bug that almost derailed our launch, this is the real story of what it takes to build and ship an AI product.
The Unspoken Rules of Building an AI Roadmap in a Big Tech Company— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 5 hard-won lessons. This is the stuff they don't teach you in books.
The Day I Realized Our AI Analytics Were Lying to Us— Building an AI startup is anything but glamorous. I want to take you behind the curtain and share the unfiltered reality of our journey. From the heated debates over our roadmap to the bug that almost derailed our launch, this is the real story of what it takes to build and ship an AI product.
The Surprising Data That Shows Most AI Prioritization Frameworks Are Broken— The AI landscape shifts every six months. What worked yesterday is already becoming obsolete. Based on my research and conversations with industry leaders, here are the critical trends in feature prioritization ai that will separate the winners from the losers in the next 18-24 months. Ignore them at your peril.
How We Built a Custom AI-Powered A/B Testing Engine on a Budget— Building an AI startup is anything but glamorous. I want to take you behind the curtain and share the unfiltered reality of our journey. From the heated debates over our roadmap to the bug that almost derailed our launch, this is the real story of what it takes to build and ship an AI product.
Nobody Talks About the Dark Side of AI-Driven User Research— Everyone in the AI space follows the same tired advice. We decided to question it. After analyzing over 1,000 AI product failures, we found a shocking pattern that conventional wisdom completely misses. The data points to one uncomfortable truth about why most AI products never find traction.
What We Learned from Our First Failed AI Feature and How We Turned It Around— After our first AI feature failed, we took a hard look at why so many AI products don’t catch on. We analyzed over 1,000 failures and found a pattern that most people miss. Here’s what really matters when building AI products that work.
5 User Research Methods I Use to Find What AI Really Needs— I didn’t follow the traditional path. Building a successful AI company took a lot of mistakes and some good breaks. Here are 7 lessons I learned that you won’t find in any textbook.
The Art of Storytelling in AI Product Management— The AI landscape shifts every six months. What worked yesterday is already becoming obsolete. Based on my research and conversations with industry leaders, here are the critical trends in ai product management that will separate the winners from the losers in the next 18-24 months. Ignore them at your peril.
Beyond Accuracy: The Hidden Metrics of a Successful AI Product— You've read all the blog posts about product analytics ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
Composable AI: The Trend That Will Redefine Feature Prioritization— You've read all the blog posts about feature prioritization ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
How a Single Customer Complaint Reshaped Our Entire AI Strategy— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
The Truth About Our First Failed AI Feature and the Pivot That Saved Us— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 7 hard-won lessons. This is the stuff they don't teach you in books.
My Controversial Opinion: Most AI 'Innovations' Are Just Features in Disguise— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
The Single Biggest Mindset Shift That Made Me a Better AI Founder— I used to struggle with entrepreneurship, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
A Founder's Guide to Interpreting Confusing A/B Test Results for AI Products— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
My Notion Template for Managing an AI Product Roadmap— You've read all the blog posts about roadmap ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
Stop A/B Testing Everything: A Founder's Guide to High-Stakes AI Decisions— Having spent years leading AI product teams at places like Google and Amazon, I saw firsthand how the best in the world operate. They don't use the generic frameworks you read about online. I'm sharing the internal playbook we used to launch AI products that reached millions of users.
Why Your Obsession with AI-Powered Roadmaps Is Killing Your Product— I used to struggle with roadmap ai, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
We Threw Out Our AI Roadmap After One Painful User Interview— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 7 hard-won lessons. This is the stuff they don't teach you in books.
Is Your AI Roadmap a Wishlist?— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 7 hard-won lessons. This is the stuff they don't teach you in books.
Dynamic Roadmapping: How to Plan in an Unpredictable AI World— Building an AI startup is anything but glamorous. I want to take you behind the curtain and share the unfiltered reality of our journey. From the heated debates over our roadmap to the bug that almost derailed our launch, this is the real story of what it takes to build and ship an AI product.
How We Use a 'Pain-Gain Matrix' to Prioritize Our AI Features— The AI landscape shifts every six months. What worked yesterday is already becoming obsolete. Based on my research and conversations with industry leaders, here are the critical trends in feature prioritization ai that will separate the winners from the losers in the next 18-24 months. Ignore them at your peril.
How to Combine Jobs-to-be-Done and AI for Breakthrough Insights— I didn't go to business school. I learned how to build a multi-million dollar AI company from the trenches. After countless mistakes and a few lucky breaks, I've distilled my experience into these 9 hard-won lessons. This is the stuff they don't teach you in books.
A Step-by-Step Guide to Implementing the RICE Framework for AI Features— Building an AI startup is anything but glamorous. I want to take you behind the curtain and share the unfiltered reality of our journey. From the heated debates over our roadmap to the bug that almost derailed our launch, this is the real story of what it takes to build and ship an AI product.
How I Learned to Stop Worrying and Love the Ambiguity of AI A/B Testing— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to a/b testing ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
I Spent 5 Years Building AI Products the Wrong Way—Here’s What I Learned— Everyone in the AI space follows the same tired advice. We decided to question it. After analyzing over 1,000 AI product failures, we found a shocking pattern that conventional wisdom completely misses. The data points to one uncomfortable truth about why most AI products never find traction.
The 'Assumption-Testing' Framework for De-Risking Your AI Roadmap— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to roadmap ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
Most Founders Get AI Feature Prioritization Completely Wrong. Here's Why.— I used to struggle with feature prioritization ai, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
My Take: The 'Wizard of Oz' Technique: My Secret Weapon for AI User Research— I used to struggle with user research ai, thinking I had it all figured out. It led to burnout and a failed product. But after years of painful lessons, I discovered a counterintuitive approach to AI product development that changed everything. It wasn't about the tech, but about this one simple shift in perspective.
The Data-Driven Founder's Framework for AI Feature Prioritization— You've read all the blog posts about feature prioritization ai, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.
Beyond Amplitude: The Next-Gen AI Product Analytics Tools You Need to Know— I'm probably going to get a lot of hate for this, but it needs to be said: your approach to product analytics ai is fundamentally flawed. We're all chasing shiny AI objects and forgetting the first principles of building great products. Here's the unpopular opinion that might just save your startup.
The Future of AI Product Management: 5 Trends You Can't Ignore in 2027— Building an AI startup is anything but glamorous. I want to take you behind the curtain and share the unfiltered reality of our journey. From the heated debates over our roadmap to the bug that almost derailed our launch, this is the real story of what it takes to build and ship an AI product.
The Chart That Changed How I Build AI Roadmaps— I wrote this guide for founders who need to fix their AI roadmap issues, move quickly, and get results without hiring a big data science team.
What I Learned from Struggling to Find Product-Market Fit in AI— I spent a long time chasing product-market fit and kept hitting walls. It wasn’t the technology that was the problem—it was how I was thinking about the process. Here’s the shift that helped me turn things around and build better AI products.
What I Learned About Finding Product-Market Fit Without Relying on Tech— I didn’t have a formal business education. Instead, I built a successful AI company through real-world experience, mistakes, and a few lucky breaks. Here are five lessons that helped me get product-market fit—things you won’t find in any textbook.
How to Run a Beta Program for Your New AI Feature— You've read all the blog posts about product launch, but your product is still stuck. Why? Because most guides are generic and miss the point. This is the counterintuitive, step-by-step guide for founders who need to solve this problem, move fast, and get results without a massive data science team.