Notes from my AI practice: agentic coding, multi-agent architecture, mid-market use cases.
Established companies with approval processes lag on AI not out of inertia, but because of a widening gap between what the tools can do and what their structures allow.
An honest week as a solo founder: GitLab migration, n8n automations, a live content pipeline on Instagram, and the question of how far AI agents can really go today.
Harvard Business Review identified 9 trends shaping work in 2026. As someone who builds and ships AI systems daily, I agree with some and have honest disagreements with others. Here's my take from the European founder perspective.
AI for small and medium enterprises: What actually works, what it costs, and how to get started without the hype.
What happens when you build over 100 AI prototypes? An honest account of the gap between prototype and product – and what 3,000+ development sessions reveal.