writing 18 posts
Notes from the lane.
What we learn shipping AI into real operations: costs, evals, rollouts, and the organizational side nobody demos.
Subscribe via RSS
6 min readBuilding an AI-Ready Organization: Beyond Pilots to Cultural Integration
Understand the foundational cultural shifts, data infrastructure, and talent development strategies needed to successfully integrate AI beyond isolated projects.
6 min readWhat an AI Agent Actually Costs Per Task
Pilot invoices hide the real unit economics of AI agents. How to model cost per completed task, including retries, human review and failures, and the levers that cut it without gutting quality.
6 min readAI for Proactive Brand Governance: Maintaining Consistency at Scale
Explore how AI tools enable businesses to automate brand consistency checks, monitor digital identity, and proactively manage brand reputation across all touchpoints.
3 min readWho Knows What to Ask the Data
AI can build any chart you describe in seconds. That makes the chart worthless and the question priceless. The scarce skill in data visualization is no longer drawing it. It is knowing what is worth drawing.
4 min readHeadless CMS Under the Weight of Content
A headless CMS was supposed to free your content from the page. Then AI made content cheap to produce in volumes nobody planned for, and the part that breaks is not storage. It is everything around it.
3 min readWhat AI Does to the PWA
Progressive web apps were built to feel fast, work offline, and live on the home screen without an app store. AI changes what a PWA can do inside those constraints, and the constraints are exactly why it gets interesting.
3 min readThe Quiet Wins: AI That Already Earns Its Keep
The most valuable AI in business right now is not the kind that makes headlines. It is the unglamorous automation running in the background, saving an hour here and a mistake there. Here is what that actually looks like.
4 min readThe AI Pilot Graveyard
Companies are not short on AI ideas. They are short on AI projects that survive contact with a budget review. Here is why pilots die and what the survivors do differently.
4 min readAI Agents in Production: Evals, Guardrails, and Observability
The gap between an impressive agent demo and a production system is operational, not magical. What to build around the model: evals, guardrails, observability, and a rollout plan.
3 min readSmall Teams, Large Leverage
The most underrated effect of this AI moment is not what it does for big companies. It is what it does for small ones. A two person operation can now run like a ten person one, and that changes who gets to compete.
3 min readWe Are Automating Judgment We Never Wrote Down
The hardest part of automating expert work is that the expertise was never written anywhere. When we hand that judgment to a model, we risk losing the very thing that made it good.
4 min readRaising the Floor
The most quietly profound thing AI does is raise the minimum quality of work that an ordinary person or a small organization can produce. That floor matters more than the ceiling almost everyone is arguing about.
3 min readHow to Pick Your First AI Automation Project (So It Actually Ships)
Most first AI projects die in proof-of-concept. A practical framework for choosing an automation that ships in weeks, pays for itself, and earns you the next one.
3 min readThe Productivity Numbers Are Lying to You
Every vendor has a chart showing AI made someone forty percent more productive. Most of those charts measure the wrong thing, and the gap between the number and the reality is where budgets get wasted.
3 min readThe Return of the Generalist
For thirty years the advice was to specialize. AI is quietly reversing that. The person who can do a little of everything competently is becoming more valuable than the person who does one thing perfectly.
3 min readWhat Happens to the Junior Job
AI is best at exactly the work we used to give beginners. That is convenient in the short term and a serious problem in the long one, because the junior job was never really about the work. It was how we made seniors.
4 min readBuilding Trust Into the Machine
AI will integrate into society at the speed people are willing to trust it, not the speed the technology advances. The good news is that trust is something you can engineer, and the companies that do it will be the ones that last.
4 min readThe Cost of Letting a Model Decide
When a model makes a decision that affects a real person, someone is accountable for it. Too many companies are deploying systems that decide without ever answering the question of who that someone is.
