From Replit with Vibes
The pace of AI product development is accelerating rapidly.
AI providers are over-indexing on speed to market while achieving product-market fit.
Despite the contentious debate surrounding vibe coding, its potential for rapid ideation to prototype is undeniable, particularly for AI Product Managers.
The Disruptor's Dilemma
Forget about the CEO of the Product.
That mindset is a relic and it didn't get me very far.
AI Product Management is about co-creating with your stakeholders.
Is AI a silver bullet?
Most of the time, it's not.
Previously, we laid the groundwork for AI product strategy.
Once that's in place, it’s time to get real: when does AI make sense to implement?
Google's AI Assistant just got a Massive Upgrade ⚡
Last week Gemini upgraded its most popular features—including Deep Research—with an updated 2.0 Flash Thinking Experimental model and personalization.
Retirement Planning with Replit
Retirement planning shouldn't feel like rocket science.
So I built an app to make it simple.
Claude's Coding Skills are Next-level 👀
Since the release of Sonnet 3.7, I've been using Claude more than ever for vibe coding.
AI History 101 📚
Okay, settle down class.
Let's open our textbooks to page 6—and learn about the history of AI.
NotebookLM Generated a Podcast about my Career
Ready for a quick ego boost?
My slightly ridiculous but surprisingly effective weekend self-care life hack—upload your professional background (CV) into Google's NotebookLM and hit generate Audio Overview.
AI Jargon 101
Imagine sitting in a meeting, and instead of debating ROI, your team is discussing the vibes of your latest AI tool.
Sounds absurd, right?
AI UX: Building at the Speed of Trust
UX for Gen AI apps involves building a useful, human-centric UX that's essential for Product Managers to get right from the get-go.
Deepseek AI Made Quite the Splash 🐋
DeepSeek AI made quite the splash in January due to several innovations the Chinese company took to model training and inferencing to produce a competitive reasoning model vs. o1 et al.
The Unsung Heroes Orchestrating ROI
AI Product Managers (PMs) act as critical conduits between business objectives and AI capabilities.
We lead workshops, bringing together business, technology, and AI teams to prioritize and identify challenges to uncover new opportunities by leveraging AI.
Embracing Failure
I debated writing this post—spoiler alert! It has nothing to do with AI.
It’s about embracing failure—as painful as it is, it’s the secret ingredient for success.
Mastering AI Product Strategy for Success 🔥
In today's digital landscape, where AI products reign supreme, a group of unsung heroes is orchestrating the symphony of innovation behind the scenes.
Enter the AI Product Manager, the mastermind who seamlessly blends business acumen, technical prowess, and customer-centric thinking to craft award-winning product strategy.
The Future of Product Management is Looking Bright
“As coding becomes more efficient, teams will need more product management work (as well as design work) as a fraction of the total workforce. Perhaps engineers will step in to do some of this work, but if it remains the purview of specialized Product Managers, then the demand for these roles will grow.” — Andrew Ng
The Turing Test
“A computer would deserve to be called intelligent if it could deceive a human into believing that it was human.” — Alan Turing
Understanding AI vs. Business Strategy
AI has become table stakes and a business priority for gaining a competitive edge.
To harness AI's full potential, AI Product Managers need a well-crafted strategy that aligns with business priorities.
Unlocking the Power of AI Strategy
In today's data-driven world, understanding AI strategy is no longer a luxury, it's a necessity.
At the heart of any successful AI implementation lies a strong strategic framework that recognizes the interconnectedness of business, data, and AI.
This is where we begin our journey.