They get launched, celebrated — and then nothing happens. Nobody writes new content. Google slowly forgets the site. And the company's "AI strategy" is a ChatGPT tab nobody actually uses day to day.
broberg.ai sites are different: they have AI built in that writes, fixes and publishes continuously — not just at launch. The site gets better every week, without anyone touching it.
It's not a chatbot glued onto an old website. It's built for AI from the foundation, by someone who built the whole engine themselves.
Four ways in — pick the one that matches where you are today. Each solution has its own page with more detail.
We find out what you actually need — website, webshop, platform, or just AI on top of what you already have.
Your solution comes to life, with your content and your brand — typically live within days, not months.
Content, SEO and updates keep running on their own. You focus on the business.
Real customers got real results — delivered in a fraction of the normal time, because the foundation was already in place.
We're not an agency that sells you a website and says goodbye. We built the whole engine that drives it ourselves — and it's the same engine, whether you get a website, a webshop, or a custom platform.
See the whole machine →
Christian Broberg has been building digital platforms since 1995 — when nobody knew what a website was. Ever since, he has built digital platforms for customers on five continents. Today he and his team builds AI-native platforms: a CMS that writes its own content, a knowledge engine that automatically gathers expertise, and a project orchestration system that runs 15+ AI employees at once.
Weekly notes on AI-native development and automation — for builders, product managers and the curious.
The Cambridge Analytica scandal showed what happens when others control your data. The EU is now tightening cloud sovereignty requirements — and that's exactly why broberg.ai is built from scratch without a single line of code depending on a tech giant's infrastructure.
Karpathy, Tan, and Liu all start from the same diagnosis — your agent is a retriever, not a thinker. They reach three different architectures: retrieve (RAG), compile (LLM Wiki), and act (Fat Skills / GBrain). Trail picked Compile, deliberately.
Supervised Fine-Tuning has become the new buzzword — but it's one tool out of four. We walk the full staircase from prompt engineering through RAG to SFT, and add our own fourth path: Trail, a compile-at-ingest knowledge engine.
15 minutes, no obligation.