LLMs for product managers
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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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How to Structure Prompts for a Reliable AI Resume Coach
A practical prompt architecture for building an AI resume coach that stays grounded in evidence, rewrites consistently, and can be tested before release.
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A Practical AI Workflow for Product Manager Cover Letters
Use a repeatable AI workflow to turn a product role and verified career evidence into a concise, specific cover letter that still sounds like you.
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AI Product Management Skills: A Practical 12-Month Roadmap
A 12-month roadmap for building AI literacy, evaluating prototypes, shipping reliable workflows, and scaling product governance.
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AI in Product Design: My Proven Playbook, Real Use Cases, and the Tools That Win Faster
AI in product design has moved from novelty to necessity, and the fastest-moving teams are weaving it through discovery, prototyping, and validation. I share a practical…
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From Concierge to AI Marketing Engine: Inside Mowie’s Document Hierarchy Playbook
SMBs don’t need a bigger team to market like pros—they need smarter systems. In this first-person breakdown, I unpack how Mowie evolved from a hands-on concierge…
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Automated Insights for Product Teams: Uncover Causal ‘Aha’ Moments in Minutes, Not Weeks
Automated insights change the analytics game by surfacing causal patterns and “aha” moments in minutes, not weeks. Instead of manual, exhaustive searches, I get ranked hypotheses…
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Unlock Real-Time Product Insights: Amplitude + OpenAI MCP in ChatGPT, Without BI Bottlenecks
Connecting Amplitude analytics to ChatGPT via OpenAI’s MCP brings product insights directly into the flow of work. I can ask natural-language questions about activation, retention, and…
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Beyond Accuracy: The Trust-First Evaluation Metrics I Use to Scale High-Impact AI Products
Trust—not accuracy—determines whether AI features earn adoption, retention, and long-term impact. In this piece, I share the layered metrics I use to evaluate model quality and…
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From No-Code Hack to 10,000 Weekly Calls: Inside Perk’s Voice AI That Actually Works
A small Perk team turned a Make.com hackathon into a voice AI agent that makes 10,000+ weekly hotel verification calls—reducing failed virtual card payments and traveler…
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How Amplitude AI Feedback Turns Noise into Product Signal You Can Ship With Confidence
Customer feedback is abundant, but reliable product signal is rare. With Amplitude AI Feedback, I turn fragmented qualitative input into evidence-backed insights tied to real user…
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Own Your AI: 4 Essential Roles to Supercharge Support and Prevent Performance Drift by 2026
AI doesn’t fail because models are weak; it fails when no one owns performance. In this third installment of my 2026 customer service planning series, I…
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