eval-driven development
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
-

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…
-

AI Agent Deployment Mastery: My Proven Checklist to Ship Safely, Faster, and at Scale
AI agents demand a higher bar for safety, observability, and measurable outcomes. In this first-person playbook, I share the proven checklist I use to deploy agentic…
-

Building Reliable AI Agent Systems: A Product Leader’s Playbook
A practical operating model for scoping, evaluating, shipping, and scaling AI agents that stay safe, observable, and economical in production.
-

Reliable AI Infrastructure: A Product Leader’s Playbook
A practical framework for exposing silent AI failures, hardening runtime paths, controlling releases, and turning SLOs into product decisions.
-

How Product Leaders Turn AI Agents Into Adopted Workflows
A practical framework for choosing an agent workflow, defining safe autonomy, measuring real adoption, and scaling only when outcomes improve.
-

How to Scale AI Pilots Into Mature Production Systems
A practical operating model for turning promising AI pilots into governed, measurable workflows that improve safely and reliably in production.
-

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…
-

Agentic AI for Construction Tendering: A Product Playbook
A practical playbook for narrowing the tendering wedge, designing specialist agents, evaluating each decision, and earning safe autonomy.
-

AI Product Governance: A Practical Operating Model for PMs
Turn AI ethics into an operating system with risk tiers, release gates, clear ownership, vendor checks, monitoring, and rollback plans.
-

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…
-

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…
-

How to Build AI-Enabled Cybersecurity Operations Safely
A practical 90-day model for using AI in threat detection and incident response with clear authority limits, metrics, and governance.
-

How to Design, Launch, and Govern an AI Agent Product
A practical playbook for scoping agent work, setting safe autonomy, measuring trusted outcomes, and earning adoption without losing accountability.
-

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.
-

Structured Prompting for an AI Resume Coach You Can Trust
Build a grounded AI resume coach with a three-layer prompt, evidence-linked feedback, safe rewrites, retrieval, and product-grade evaluation.
-

AI Transformation Is an Operating Model, Not a Feature Roadmap
A practical operating model for turning scattered AI pilots into measurable outcomes, safer releases, and a faster organizational learning loop.
-

How Product Leaders Turn AI Strategy Into an Operating System
A practical operating model for choosing AI bets, defining production readiness, assigning ownership, measuring adoption, and deciding when to scale.
-

How to Govern AI Agents With Product Analytics That Drives Action
A practical operating model for instrumenting AI agents, enforcing safe authority, setting release gates, and proving business outcomes.
-

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…
-

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…
Weekly digest
One email a week on AI products, enablement and hiring. No fluff.
Browse topics
- AI Strategy (315)
- Generative AI (106)
- IT Leadership (33)
- Leadership (76)
- Product Management (344)
- Product Management Leadership (306)
- Uncategorized (32)
Work with me
45-minute consultation on AI product strategy, GTM and PM hiring — no charge.
