Token spend is the new cloud bill
The token bill for an AI agent is the visible 10 to 30% of what it costs. Review, supervision, rework and ownership make up the rest, and unlike a salary, almost nobody forecasts it.
Making sure the people are happy, things look pretty and products reach a greater audience, is why this people & marketing manager sets his alarm clock every day.
The token bill for an AI agent is the visible 10 to 30% of what it costs. Review, supervision, rework and ownership make up the rest, and unlike a salary, almost nobody forecasts it.
A practical guide to evaluating fractional CTO providers in Belgium: the three criteria that matter most, how the four provider types differ, what an engagement should cost, and when a full-time hire is the better call.
A good technical due diligence report is smaller than you expect, separates fact-checked observations from labelled judgement, and answers the specific questions your deal depends on. No score. The real test: does it change what you do on Monday morning?
AI is now a reader of your documentation. When context lives outside the repository, gaps appear and assumptions creep in. Moving documentation closer to the code makes the system easier to reason about, for people and for machines.
Senior engineers carry the front of every decision, every code review, every on-call shift. The peloton runs best when roles rotate. When the star eventually leaves, someone else needs to know what wind feels like.
AI is making the knowledge side of consulting cheaper by the day. Teams still avoid the legacy system. The gap is not expertise. It is the structural courage to act on what everyone already knows.
CTOs who built their company's survival by doing everything can't escape that role by scheduling a holiday. Moving from doing to enabling is a skill and identity shift at once. One thing handed off permanently is where the exit starts.
When AI closes the execution gap, taste becomes the differentiator. Curation, judgement, and the willingness to say “not this” compound over time in ways that models can’t replicate.
AI-generated content has made polished writing look suspicious. The deeper cost is the thinking you skip when you outsource the words that define your position.
After auditing 190+ SaaS companies, the same patterns keep showing up: a CTO who does everything, documentation nobody updates, a backlog from 2019. Here's what the bingo card looks like, and what AI is changing about it.
A couple of months ago, I was copy-pasting prompts into ChatGPT. Now I'm shipping features, running tests, managing branches, and keeping documentation alive, with a team of agents doing the heavy lifting. All by myself.
AI is changing what small teams can ship, boilerplate gone, prototypes faster, experimentation cheaper. But lower costs of building don't mean lower costs of building the wrong thing. It just means you can do it faster.
Go for one codebase or multiple repositories? A question multiple CTOs and technical founders have asked. It can be a surprisingly expensive decision nobody warns you about.
AI adoption fails when treated as a tool rollout. This guide covers the decision framework, team dynamics, economics, and mistakes from 190+ technical audits.
Vibe coding or AI-assisted development? The choice isn't binary, but getting it wrong at the wrong stage will cost you. This piece breaks down when to embrace speed over architecture, when to take back control, and why the best teams don't pick sides.