AI Strategy
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
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An AI Operating Model That Measures Outcomes, Not Activity
A practical way to connect AI quality, customer behavior, revenue, risk, and delivery metrics so teams know what to scale, fix, or stop.
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Speed-to-Lead Is Dead: How AI Agents End the Wait and Rebuild a High-Velocity Sales Org
Prospects shouldn’t wait after they click “contact sales.” AI Agents engage buyers instantly at the peak of intent, collapsing qualification, discovery, and even an initial demo…
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Beyond Accuracy: How I Evaluate AI Customer Service Agents That Delight and Scale
Most teams judge AI agents by accuracy and resolution rates—but that’s only half the story. In my POCs, I mirror real-world messiness, stress-test multi-turn and multilingual…
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Old-School Selling Beats PLG in the AI Era: My GTM Playbook for 8‑Day Enterprise Deals
Old-school, in-person selling still beats product-led motions in the AI era because enterprise buyers reward teams who show up and de-risk change. I share how to…
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Built for Your Biggest Days: How We Engineer Fair, Reliable Scale Without Downtime
Enterprise teams ask sharper questions about scale—and they should. I share how we handle 150k+ requests/sec, shard our source-of-truth data with Vitess and PlanetScale, and reshape…
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Unlocking AI Agents: The Real Barrier Is Readiness—Not Capability—Here’s How to Scale
The biggest barrier to scaling AI Agents isn’t model capability—it’s organizational readiness. I break readiness into five types (content, scope, procedural, data, execution) and show why…
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How to Prove the ROI of an AI Product Before You Scale It
A practical system for tying AI product behavior to incremental revenue, real cost savings, and risk-adjusted launch, scale, or rollback decisions.
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AI-Enabled Enzymatic Recycling: A Product Leader’s Playbook
A practical framework for turning AI-designed recycling enzymes into an industrial product, with stage gates for data, lab proof, scale, and cost.
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Figma’s Executive Scaling Playbook for IPO Readiness
A practical operating model for growing executives, installing public-company discipline early, and aligning product, finance, and AI investment.
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From Vision to Execution: Building Agentic, Data‑Driven Products with Real‑World Rigor
Agentic AI demands more than dashboards—it requires a system that observes, reasons, and acts with measurable impact. I connect behavioral analytics to action by pairing Amplitude-style…
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Beyond the Product Builder Hype: How AI, org design, and joy shape PM success
Is the product builder wave a mandate or a useful tool? I unpack how to use coding and AI in product management without causing organizational chaos.…
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Taste vs. Evidence in the AI Era: What Product Leaders Must Invest In Now
Is “taste” truly a must-have skill in the AI era or just hype? After listening to Teresa Torres and Petra Wille, I share why opinionated product…
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Supercharge Claude and Cursor with Amplitude Plug and Play: Your AI Analytics Expert in One Install
I’m introducing Amplitude Plug and Play, a new AI plugin for the Claude and Cursor marketplaces. With a single-install, it turns your favorite AI client into…
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CPO Leadership in the AI Era: A Practical System for Focus
A practical operating system for turning AI pressure into measurable bets, clear decision rights, protected discovery, and durable customer value.
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Unleashing Inbound Sales with AI: My Playbook for Launching and Scaling Sales Agents Fast
Inbound sales shouldn’t wait in queues, and AI finally gives us a way to act on buyer intent in real time. The Sales Agent Blueprint is…
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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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From 70 Employees to Dominance: My Playbook for Hypergrowth, Focus, and Top-Down Goals
Scaling an atoms-based marketplace demands a different kind of product leadership. In this first-person playbook, I share how I apply a simple “plate spinning” framework to…
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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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Browse topics
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
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