Practical writing on AI consulting, workflow automation, and the craft of shipping software — from the projects we work on, not the ones we imagine.
Latest
6 min read
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.
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6 min read
Explore how AI tools enable businesses to automate brand consistency checks, monitor digital identity, and proactively manage brand reputation across all touchpoints.
1 min read
test both
3 min read
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 read
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 read
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 read
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 read
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 read
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 read
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 read
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 read
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 read
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 read
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 read
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 read
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 read
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 read
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.
