AI Strategy
- AI Strategy (429)
- Generative AI (113)
- IT Leadership (38)
- Leadership (81)
- Product Management (394)
- Product Management Leadership (373)
- Uncategorized (32)
-
How to Scale AI Agent Autonomy Without Losing Control
A practical framework for expanding agent permissions, isolating execution, verifying real outcomes, and scaling without multiplying failures.
-
How Product Leaders Should Reassess Core Principles
Use a practical belief audit to preserve, revise, test, or retire product principles as AI and operating conditions change.
-
How Product Leaders Should Govern Emerging AI Capabilities
A practical framework for governing retrieval poisoning, synthetic user forecasts, agent permissions, and the evidence needed before launch.
-
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.
-
A Practical System for Personal Multi-Model AI Workflows
Build a portable AI workflow that routes work by job, tests models fairly, and turns repeated corrections into reusable skills without vendor lock-in.
-
How to Design Context for Reliable Enterprise AI Agents
A practical method for giving enterprise AI agents the right evidence, permissions, freshness, and action boundaries before they make decisions.
-
Production AI Reliability: How to Earn User Trust
A practical operating model for setting AI autonomy, testing full workflows, exposing accountability, and recovering before failures erode trust.
-
AI Agent Swarms: An Operating Model for Product Leaders
A practical framework for deciding when agent swarms earn their complexity, building the control plane, and proving value before rollout.
-
How to Build an AI Agent Business Case That Survives Scrutiny
A practical framework for proving AI agent ROI through workflow baselines, realized benefits, full costs, production pilots, and scale gates.
-
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.
-
Designing AI Agents That Can Safely Act for Your Users
A practical framework for defining agent authority, building safe action flows, measuring execution, and expanding autonomy without losing user trust.
-
How Autonomous AI Changes the Work of Product Leaders
A practical operating model for delegating ambitious work to autonomous AI while preserving human judgment, decision rights, security, and accountability.
-
How to Design Data Context for Reliable AI Agents
A practical framework for defining, retrieving, testing, and governing the data context AI agents need to make dependable decisions.
-
How Product Leaders Should Govern Frontier AI Releases
A practical release gate for assessing frontier-model capability, misuse controls, enterprise privacy, and dependency risk before you ship.
-
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.
-
Claude Fable 5.1: A Practical Adoption Guide for AI Leaders
A practical framework for deciding where Claude Fable 5.1 belongs, how to test its judgment, model whole-run cost, and govern sensitive use.
-
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.
-
How Financial Product Teams Can Earn Consumer Trust
A practical framework for designing, measuring, and governing trust across high-stakes financial journeys without reducing it to a brand score.
-
How to Evaluate Corporate Data for AI Training Deals
A practical framework for testing enterprise data rights, quality, privacy, model fit, and economic value before committing to an AI training deal.
-
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.
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.