LLMs for product managers
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Multi‑Agent Systems Demystified: Why One AI Isn’t Enough—and How I Ship Faster With Many
Multi-agent systems turn a single clever model into a reliable product engine by coordinating specialized agents—planner, executor, and verifier—inside robust AI workflows. I use a retrieval-first…
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From Chaos to Clarity with Claude Code: My Hands-On Playbook for Product Leaders
I take you inside my hands-on system for turning Claude Code from a clever demo into a dependable teammate. You’ll see how I set up /init…
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Build CX Scores You Can Defend: My 5-step playbook for transparent, trustworthy AI metrics
Support leaders shouldn’t have to take a metric on faith. I explain how we built CX Score to be transparent, statistically validated, and aligned with expert…
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Vibe Coding Unleashed: How Parallel Agents Build KPI Driver Trees in Under Two Hours
Parallel agents are transforming how I build analytics artifacts and make product decisions. By running specialized agents in parallel—metrics, data modeling, research synthesis, prototyping, and evaluation—I…
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How to Operationalize Amplitude AI Visibility Upgrades
A practical operating model for using Amplitude AI Visibility to speed segmentation and reporting without weakening governance or trust.
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Build Your Personal Operating System with Claude Code: A Playbook for Focus, Speed, Clarity
A personal operating system turns scattered inputs into decisive action, and Claude Code is the catalyst I use to make it real. In this playbook, I…
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The Customer Feedback Playbook: AI-Powered Tactics I Use to Make Better Product Decisions
Customer feedback is my most reliable compass for strategy and execution. In this playbook, I show how to combine analytics, structured interviews, and AI to turn…
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Building Physician‑Grade AI When Trust Is Everything: Inside Healio’s Proven Playbook
Physicians won’t trust AI until it proves itself. Here’s how Healio built a physician-grade assistant with RAG and hybrid search across trusted sources like PubMed, designed…
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AI-Powered Growth Loops: Transform Your PLG Product into a Self-Optimizing Engine
AI is reshaping product-led growth from static funnels into adaptive, compounding growth loops. I outline a practical blueprint: unify behavioral data, personalize in-app guidance with gen…
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How I Harness AI to Supercharge Product Discovery for Faster Research, Prototyping, and Validation
AI has become my unfair advantage in product discovery, compressing weeks of research, prototyping, and validation into days. I synthesize interviews with LLMs, layer in Amplitude…
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New Year, New Product Habits: AI Workflows, Coaching Culture, and Community in 2026
I’m starting 2026 with a practical reset of how I lead continuous discovery, integrate AI workflows, and scale coaching inside product teams. In this reflection, I…
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11 Product Management Shifts Redefining 2026: Actionable Signals from Top Leaders
2026 will reward product teams that turn signals into action. In this first-person analysis, I highlight eleven shifts—from outcomes-first OKRs and continuous discovery to agentic AI…
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How We Built an AI Career Co‑pilot that Turns Knowing into Doing for Disadvantaged Students
Disadvantaged students don’t just need answers—they need an orchestrated path from insight to action. I break down how Zero Gravity built an AI career co‑pilot that…
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PMs and Developers Need Different AI Metrics—Here’s How That Builds Faster, Better Products
PMs and developers measure different layers of AI systems—and that’s a feature, not a bug. Developers focus on eval-driven development, latency, and reliability, while PMs focus…
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AI Context Engineering: A Practical System for Product Teams
Learn to build small, traceable context packs that help product teams use AI for discovery, prioritization, and execution with less rework.
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Why I’m All-In on INDUSTRY 2025: 5 Powerful Reasons For Product Leaders at The Product Conference
INDUSTRY 2025 is my must-attend event to sharpen product strategy, deepen AI fluency, and learn directly from operators who ship. I’m prioritizing outcome-driven roadmapping, continuous discovery,…
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My Proven Experimentation Playbook for AI PMs: Faster Learning, Safer Launches, Bigger Wins
Experimentation is not guesswork—it’s a disciplined system. In this playbook, I show how to pair A/B testing with eval-driven development to ship safer AI features and…
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The New AI Playbook for Product Portfolio Optimization: Slash Complexity, Boost ROI
Product portfolio optimization isn’t a once-a-year exercise—it’s a living system. I use AI to turn noisy signals into clear decisions, aligning initiatives to outcomes vs output…
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10 AI Business Models You Need Now: Proven Playbooks Turning Algorithms into Revenue
AI is no longer a feature—it’s a business model. In this guide, I break down ten proven models—API-first services, vertical copilots, agentic automation, copilot upsells, insights-as-a-service,…
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Monetizing AI with Confidence: Proven Models, Smart Pricing, and ROI You Can Defend
Turning AI features into sustainable revenue requires more than a great demo; it demands crisp packaging, pricing discipline, and visible customer outcomes. I outline practical models—add-ons,…
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Browse topics
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