AI readiness
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
-
Google AI Engineering Interview Prep: A Practical Plan
A practical plan to prioritize coding, ML depth, system design, RAG, agents, and resume stories without memorizing a speculative question bank.
-
From AI Capability to Measurable Workplace Productivity
A practical operating model for choosing AI work, defining acceptable output, controlling review costs, and proving productivity in the workflow.
-
How to Build an AI Operating System for Business Growth
A practical method for turning one costly growth workflow into a governed AI loop, proving value quickly, and consolidating tools around it.
-
From AI Adoption to Realized Value: An Enterprise Playbook
A practical operating model for connecting enterprise AI usage to measurable workflow outcomes, credible economics, and scale decisions.
-
How to Build a Durable Career in AI Product Management
A practical guide to choosing an AI product lane, building credible evidence in your current role, and judging job offers beyond titles and hype.
-
Should You Train AI on Your Company’s Work-Email Archive?
A practical framework for deciding whether an email archive should power retrieval, evaluation, or training without mistaking activity for truth.
-
From AI Demo to Production: Proving Value Before You Scale
A practical framework for choosing a valuable AI job, defining proof of success, and scaling autonomy only when the system can fail safely.
-
AI Agent Trust Starts With Organizational Readiness
A practical operating model for deciding what AI agents may do, where humans must approve, and how to earn trust before scaling autonomy across the business.
-
AI-Driven Learning and Development: A Practical Operating Model
A practical operating model for using AI to speed learning production, personalize pathways, protect quality, and prove workforce capability gains.
-
Frontier AI Scaling: A Product Leader’s Agent Economy Playbook
A practical framework for turning abundant frontier-model capacity into trusted, measurable agent work without mistaking supply for demand.
-
Five Transferable AI Habits to Build with an Approved Copilot
Use an approved Copilot to master task framing, grounding, workflow design, evaluation, and learning habits that survive the next model switch.
-
How Private Equity Firms Can Measure AI-Driven Advantage
A practical scorecard for separating AI activity from verified economic value, repeatable execution, defensibility, and managed risk in private equity.
-
How Product Leaders Should Evaluate AI Model and Robotics Releases
A practical framework for deciding which frontier AI and robotics releases deserve evaluation, investment, monitoring, or a deliberate no.
-
AI, Jobs and Robotics: A Small-Business Readiness Plan
A practical plan for choosing safe AI tasks, protecting high-stakes decisions, preparing employees, and deciding when automation deserves more authority.
-
Andrew Ng on AI, Learning, and Redesigning Work
A practical playbook for redesigning AI-assisted work, protecting durable learning, hiring for judgment, and governing real risks without panic.
-
Why AI Adoption Stalls After the Pilot—and How to Fix It
A practical guide to finding the data, integration, authority, context, and ownership failures that keep promising AI pilots from delivering.
-
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.
-
The Organizational Infrastructure Responsible AI Actually Needs
A practical operating model for assigning AI ownership, limiting agent authority, funding human oversight, and turning failures into safer systems.
-
How to Roll Out AI Without Dodging the Job Security Question
A practical playbook for making credible job commitments, testing AI on business outcomes, and showing employees how their roles will change.
-
AI Builder Maturity: From Fast Demo to Defensible Product
Use a five-level evidence ladder to diagnose your AI product, test platform risk, and invest in advantages that strengthen as models improve.
Weekly digest
One email a week on AI products, enablement and hiring. No fluff.
Browse topics
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
Work with me
45-minute consultation on AI product strategy, GTM and PM hiring — no charge.