What we actually shipped — and what we did not.
Working notes on AI audits, automation, and technical leadership. No hype, no superlatives.
More from the team
When Your Company Needs a Fractional CTO (and Why the AI Part Has Changed Everything)
A full-time CTO in Finland costs €120k–€180k and takes months to recruit. For companies between 10 and 50 people, a fractional CTO fills the gap — and AI has changed what the role now covers.
AI-Assisted Development at Team Scale: What Works, What Doesn't, and How to Roll It Out
“Yes, kind of” is the default state of AI adoption in most engineering teams. The gap between a few individuals using AI and a whole team using it well is wider than it looks — here’s how to cross it.
Rolling Out AI-Assisted Development: What Engineering Teams Get Wrong in the First Six Weeks
The AI coding tools are genuinely good now. Getting two enthusiasts productive is easy; getting a whole engineering team there is where rollouts go wrong. Here are the five most common mistakes.
What a Fractional CTO Actually Does in the First 90 Days
The title “fractional CTO” has become vague. Here’s what a meaningful engagement actually delivers from day one to day ninety — and the conditions that make it work.
Why Most AI Automations Break in Production — and How to Build Ones That Don't
The demo runs flawlessly. Three weeks later someone is back to doing it by hand. The root cause is almost never the AI — it's the architecture around it. Here's how to build automation that survives production.
AI Automation That Doesn't Break: How to Choose the Right Tool for the Job
The demo looked great. Three weeks later it stopped working and nobody could fix it. The standard AI automation failure has almost nothing to do with the technology — and everything to do with tool choice.
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What we actually shipped. What we did not. No marketing.