Insights
Notes from production. Articles on AI agents, automation, data systems and custom software, written from the work.
Guides, regulation and case stories from building AI agents, automation and software in production.

How much does an AI agent cost? Real prices for 2026
How much does an AI agent cost? Sourced market ranges, model cost per call from official pricing, build or buy, and the costs missing from most quotes.

How to choose an AI agency: a checklist for companies
How to choose an AI agency: what to ask about code, data, pricing and support, the red flags to watch for, and a table to score every provider.

The EU AI Act for companies: what changes and what to do
What applies to a company that uses AI today, which dates the Digital Omnibus moved, and a checklist you can run this month.

Chatbot vs AI agent: which one does your company need?
A chatbot answers. An agent does the work. How to tell which one your problem needs, what each one costs to run and where each one fails.

AI consulting for companies: where to start with AI
How to choose your first AI use case, score it with a simple weighted matrix, decide whether to build or buy, and what a good AI Audit should hand you at the end.

AI agents for business: what they are, what they do and what they cost
What an AI agent does inside the tools your company already uses, what sets its price, how far European companies have got with AI, and the questions to ask a provider before you sign.

n8n business automation: when it fits and how to run it well
What n8n is, how it compares with Zapier and Make, why EU hosting matters, and the habits that keep workflows and AI agents working after the demo.

AI for property management: five processes to automate first
Tenant requests, leases, leads, cost statements and owner reports. For each one: what an AI agent does, what stays with a person, what data it needs and what can go wrong.

AI deal flow scoring for VC: how a pre-seed fund finds founders early
How we build AI deal flow scoring for VC funds, shown on a real build for a pre-seed fund in Europe: the signals it reads, the 100-point rubric it scores with, and the guardrails that keep a person in charge of every lead.