Writing
Short, direct, most days. Everything ladders back to one question: how do you build AI products people actually trust?
- Human-in-the-Loop Is a Product Decision, Not a Safety Checkbox
Most teams add human review to every AI action or none. Both fail. Where the human sits is one of the highest-leverage product decisions you'll make.
AI Product Strategy20 Jul 20263 min read - White-Label Reporting Is Harder Than It Looks
Putting a logo on a PDF is easy. Building reporting that's automatic, branded, accurate across dozens of clients, and honest about missing data is not.
Enterprise Optimization19 Jul 20263 min read - Why Agencies Need Multi-Client Automation, Not More Logins
Most marketing tools treat an agency as a customer with many accounts. Agency operations need one system running many clients. The difference determines whether you can grow without hiring.
Enterprise Optimization18 Jul 20263 min read - How SMEs Can Adopt AI Without Enterprise Budgets
Smaller companies have a real structural advantage in AI adoption. Here's the sequence that works when you can't fund a six-month transformation programme.
Enterprise Optimization17 Jul 20263 min read - The Hidden Cost of Manual Workflows
The cost of a manual process isn't the hours it consumes. It's the delay it introduces, the decisions it defers, and the work nobody attempts because the process makes it impossible.
Enterprise Optimization16 Jul 20263 min read - Why Staying Hands-On With Code Makes You a Better Product Leader
The argument isn't that product leaders should write production code. It's that losing the ability to estimate cost yourself makes you dependent on other people's estimates.
Rapid Prototyping15 Jul 20263 min read - From Idea to Working AI Prototype in 7 Days: My Process
A day-by-day process for getting from an AI product idea to a working prototype in a week — and why the goal is a decision, not a demo.
Rapid Prototyping14 Jul 20263 min read - What Enterprise Buyers Actually Ask About AI Data Security
The twelve questions that come up in every enterprise AI security review, and the answers that move a deal forward.
Privacy & Security13 Jul 20263 min read - Data Privacy by Design: A Practical Checklist for AI Products
A working checklist for AI products handling sensitive data — the questions to answer before you write the first line, not after legal review.
Privacy & Security12 Jul 20263 min read - Why "AI-Powered" Is a Feature, Not a Product Strategy
If removing the AI from your product would leave nothing behind, you don't have an AI strategy. You have a demo with a business model attached.
AI Product Strategy11 Jul 20263 min read - Build vs. Buy vs. Fine-Tune: A Decision Framework for AI Product Teams
Most teams pick their AI approach based on what sounds impressive. Here's the framework that actually decides it — and why fine-tuning is usually the wrong first answer.
AI Product Strategy10 Jul 20263 min read - The CPO's Playbook for Shipping AI Features Without Breaking Trust
A six-step framework for taking an AI feature from idea to production without damaging user trust — the process I use as CPO.
AI Product Strategy9 Jul 20263 min read - Why Most AI Features Fail the Trust Test (And How to Fix It)
Most AI features fail not because the model is wrong, but because users can't tell when it's wrong. Five failure patterns and the fixes.
Human-AI UX8 Jul 20263 min read - What Is Human-AI UX? A Framework for Designing AI Products People Actually Trust
Human-AI UX is the practice of designing AI interactions so the system's reasoning, limits, and confidence are legible to the person using them. Here's the framework I use.
Human-AI UX7 Jul 20263 min read