How I Scaled My Blog Archive with AI
How I built a scalable, AI-powered blog archive by learning GenAI coding constructs and focusing on product thinking, not syntax.
26 in-depth articles on product thinking, AI innovation, and strategic leadership.
How I built a scalable, AI-powered blog archive by learning GenAI coding constructs and focusing on product thinking, not syntax.
Platform products need empathy and accountability. Treat them like external products — measure impact, earn trust, and prove real value.
Cloudflare’s VibeSDK acts like a factory robot for apps. It turns plain language into live software while teams stay focused on customer value.
How Brian Balfour’s Four Fits framework has been updated for the AI era, and what product leaders can learn from the shift.
Product-Agentic Growth reframes how B2B software must evolve: AI agents doing work for users, reshaping PLG with autonomous workflows, predictive expansion, and real ROI.
Most 'AI products' aren't AI-native. Use the Home Screen Test to spot the billion-dollar opportunities hiding in plain sight.
How to make outcomes real, align cross-functional teams, and still give leaders confidence with a dual lens scorecard, DORA metrics, and probabilistic forecasts.
Learning how to learn is the real superpower for product managers. It’s not about speed, but reinvention, adaptability, and enjoying the process.
A GTM playbook for feature products competing with platforms in the AI era, focused on delight, speed, and switching costs before the bundle arrives.
APIs are not small. They are the backbone of digital growth and the foundation of agentic AI and MCP orchestration.
Data moats are the key to AI defensibility. Tesla and Stripe show what makes them real and how product teams can build them.
In B2B, escape velocity isn’t enough. Startups must turn rapid distribution into lasting defensibility before incumbents close the window.
Shift-left Customer Success by embedding it early in product strategy, design, and GTM to boost retention and drive SaaS growth.
Practical playbooks for product leaders to adapt and thrive in the AI era using wedge expansion, jobs-to-be-done, and dual transformation.
Why AI disruption challenges startups and giants while firms with product market fit adapt faster, explained through proven strategy frameworks.
AI is reshaping product management. Learn how to map, optimize, and automate your systems before someone else does it for you.
How AI LLMs are transforming healthcare by empowering patients with PhD-level medical knowledge and reshaping the entire industry ecosystem.
Product leaders must know when to act as Architects and when to act as Gardeners. Learn how to balance precision and adaptability in product development.
PRDs aren’t dead—they’re evolving. Learn how to modernize product requirements with outcome focus, living documents, and AI-powered prototyping.
Learn how to cultivate a strong product culture by empowering teams, aligning leadership, and focusing on outcomes over features.
Agile is not stand-ups or sprints. Learn how to cultivate true agility by focusing on outcomes, empowering teams, and decentralizing decisions.
Fall in love with the problem, not the solution. Learn seven techniques to uncover customer needs and build products that create lasting impact.
Learn how to move beyond delivery and adopt a strategic product mindset with practical steps, proven frameworks, and customer-first thinking.
Learn how to defeat confirmation bias in product management with eight practical techniques to improve decisions and build products that truly matter.
Explore the demand reducers in Jobs-to-be-Done—Inertia and Anxiety—and how systems thinking helps overcome hidden barriers to product adoption.
Learn how Jobs-to-be-Done explains the forces that create product demand—Push and Pull—and why progress, not features, drives adoption.