AI product toolbox
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A Practical Path Into AI Engineering Without a CS Degree
A practical roadmap for turning domain expertise, software fundamentals, and a production-minded portfolio into a credible AI engineering candidacy.
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How Product Leaders Should Respond to Frontier AI Launches
A practical framework for deciding which frontier AI launches to ignore, watch, test, or adopt based on product evidence rather than hype.
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How to Evaluate AI Models Beyond Headline Benchmarks
A practical framework for testing AI models on real workflows, failure modes, consistency, human effort, and cost before making a production choice.
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How to Build an AI Strategy as Costs Fall and Tools Multiply
A practical framework for selecting, integrating, governing, and retiring AI tools as capability prices fall faster than planning cycles.
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How to Build an AI Productivity Stack That Saves You Time
A practical framework for choosing a small AI tool stack, testing real time savings, protecting judgment, and scaling useful team workflows.
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A Practical AI Evaluation Workflow for Product Teams
Build a repeatable AI eval workflow that turns vague quality debates into traceable failure rates, safer experiments, and clearer release decisions.
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How Product Leaders Should Evaluate Emerging AI Tools
A practical framework for choosing, testing, and governing emerging AI tools without turning promising demos into unmanaged workflow clutter.
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How to Design AI Benchmarks That Drive Product Decisions
A practical framework for building AI benchmarks that predict product behavior, expose risky failures, and support confident release decisions.
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AI Agent Skill Overload: How to Curate What Stays
Learn how to test, approve, fork, and retire AI agent skills before instruction conflicts and hidden assumptions weaken your team’s output.
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Visual Search for Messy B2B Catalogs: An Intent-First Playbook
A practical framework for turning ambiguous product images into intent-aware retrieval, trustworthy ranking, and measurable B2B sourcing outcomes.
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Claude Code for Product Managers: Accelerate Prototypes, Validate Faster, Ship with Confidence
Claude Code helps me turn ambiguous product ideas into testable prototypes, grounded analyses, and instrumented experiments in a fraction of the time. By pairing it with…
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The AI PM One-Pager: Radical prototyping requirements for speed, clarity, and truth
A single one-pager can transform how AI product teams move from idea to insight. By prompting tools directly and defining eval-driven criteria up front, I cut…
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Build an AI Toolbox That Improves Product Management
A practical operating model for choosing AI tools, grounding them in product evidence, measuring workflow gains, and scaling with clear guardrails.
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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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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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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 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 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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AI vs. Human Judgment in Customer Interviews: The Hard‑Won Lessons That Changed My Mind
I’ve changed my stance on using AI for customer interview analysis and synthesis after six months of hands-on experiments. AI raises the floor for beginners, but…
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Browse topics
- AI Strategy (429)
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