AI Strategy
- AI Strategy (430)
- Generative AI (113)
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- Leadership (81)
- Product Management (394)
- Product Management Leadership (374)
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Auditable AI Code Review: A Practical Operating Model
A practical operating model for AI code review that makes approvals explainable, limits autonomy by risk, and improves through production evidence.
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A Practical Scenario Planning System for AI Product Strategy
A decision-ready framework for turning uncertain AI futures into signals, reversible bets, funding triggers, and an adaptable roadmap without chasing hype.
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AI-Native Startup Execution: A Practical Operating System
A practical operating model for choosing the wedge, focusing the ICP, designing the team, and turning model-quality evidence into customer outcomes.
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Churn Prediction: A Practical Build-Versus-Buy Framework
A practical framework for choosing build, buy, or hybrid churn prediction based on speed, proprietary data, activation, talent, and total cost.
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From Brain Dump to Done: How Todoist’s Ramble Captures Tasks in Real Time with AI
Ramble turns stream-of-consciousness voice notes into structured tasks in real time by skipping transcription and using a Gemini live audio model. The Doist team pairs instant…
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How to Build a Trusted AI Product Platform That Scales
A practical operating model for building AI platforms that earn trust through governed data, verifiable outputs, controlled actions, and measurable outcomes.
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Never Lose Your AI Superpowers: How I Sync Context and Skills Across Every Device
Sharing AI context files and skills across devices—and with teammates—shouldn’t be painful. In this first-person walkthrough, I break down the real-world pitfalls I hit with Dropbox,…
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Cracking the Hardest Percentages: Turn Complex Support into Scalable, Trust-Building Automation
Complex queries are the smallest slice of most queues, yet they dominate handle time and define customer trust. In my experience, the fastest path to higher…
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Product Work Is Relationship Work: How I Align Stakeholders Faster and Cut Team Politics
AI can speed up delivery, but it can’t replace the human work of product management: aligning stakeholders, navigating competing incentives, and creating shared understanding. In this…
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How We Taught Agentic AI to Speak Product Analytics—and Unlocked Actionable Insights
I describe how we taught agentic AI to understand the nuanced language of product analytics and deliver trustworthy answers grounded in our metric catalog and event…
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Stop Drowning in Tasks: How AI Marketing Agents Restore Focus and Maximize Impact
Marketers don’t have a volume problem—they have a focus problem. AI multiplies effort, but without outcome clarity it only accelerates busywork. I outline a practical playbook:…
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Inside the Most Politically Dangerous C‑Suite Role: Hard Truths on Culture, Layoffs, and Leadership
Culture isn’t a perk—it’s a product. In this first-person reflection on the most politically charged seat in the C‑suite, I share why HR must think like…
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Stop Forcing AI to Prove ROI: A Product Leader’s Playbook to Measure Real Business Value
AI ROI isn’t elusive—it’s mismeasured. I outline a practical playbook that ties leading indicators to revenue, cost, and risk through a clear driver tree and disciplined…
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Beat AI FOMO: A Product Leader’s Playbook to Choose Tools, Stay Focused, and Learn Deeply
New AI tools launch daily, and the pressure to try them all can derail real progress. In this reflection on a timely conversation with Petra Wille…
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Join Me in April: Build a Continuous Interviewing Habit and Unlock Real Customer Insights
This April, I’m leading a community read of Chapter 5: Continuous Interviewing from “Continuous Discovery Habits,” with a practical guide, discussion prompts, and exercises you can…
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Never Stop Disrupting: Why the Fin API Platform Signals a New Era for Agentic AI
Disruption favors teams that move from features to agents—and the Fin API platform accelerates that shift. With a customer agent platform resolving over 2M issues weekly…
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Inside Amplitude’s ML Playbook: Practical Strategies for Smarter A/B Tests and Growth
Discover how I translate machine learning into practical product analytics wins. I share how MDE-driven planning and disciplined A/B testing unlock faster, defensible decisions. You’ll see…
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5 powerful ways I use Pendo MCP to bring product analytics into ChatGPT, Claude, and Cursor
Pendo MCP brings product analytics directly into Claude, ChatGPT, and Cursor, so insights follow me wherever I work. I can triage anomalies, prep discovery with behavioral…
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Product Management Isn’t Dead: Why ‘Product Builders’ Will Win in the AI Era—and How to Upskill Now
“Is product management dead?” Not even close. The role is evolving as AI raises the baseline, compresses cycle time, and nudges the classic product trio toward…
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How to Build Cost-Effective PR Review Agents In-House
A practical blueprint for building an in-house PR review agent that controls model spend, limits false positives, and improves review flow.
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Browse topics
- AI Strategy (430)
- Generative AI (113)
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- Leadership (81)
- Product Management (394)
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