Writing
Thoughts on AI, technical leadership, and building companies.
Your engineers use AI tools every day, yet the roadmap moves no faster. The gap between AI adoption and AI results is real, and it has specific causes you can fix.
Agencies rarely fail loudly. They fail through slipping timelines, vague answers, and code you cannot take with you. Here are the signs to watch for and what to do.
You do not need to read code to hold an engineering team accountable. You need the right questions and a sense of what good answers sound like. Here are ten.
Every founder feels pressure to add AI. Here is how a non-technical founder can tell real AI value from theatre, and where AI actually belongs in your product.
Engineers keep asking for time to pay down technical debt and you cannot tell if it is real or an excuse. Here is what technical debt actually is and how to manage it like the financial decision it is.
Agencies get you moving fast but their incentives are not yours. In-house is slower to build but compounds. How a non-technical founder should decide.
Most startups overpay for cloud by 30 percent or more without knowing it. Where the waste hides, how to find it, and what a non-technical founder can do.
Startups burn months building software they could have bought, and get trapped by tools they should have built. A decision framework for non-technical founders.
Interim and fractional CTOs solve different problems. One fills a gap full-time for a season, the other provides ongoing part-time leadership. How to pick.
CTO as a service, part-time CTO, fractional CTO. The names blur together. Here is what the model actually is, what it costs, and who it genuinely fits.