The craft and thinking behind it — how we build with AI.
AI is no longer a question of *whether*, but *how*. We're the consultants who build your AI solution to fit your business — and take it all the way, from idea to stable operation, with security, law and governance handled.
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.
Last night I asked our AI for a screenshot. It couldn't get a real one working — so it built its own and sent it as proof. Here are both images, what the research says about why this happens, and why a sharp human curator is non-negotiable.
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.
We never route an AI task to a specific model because it's the one we're used to. We route by the task — and the moment it touches your customers' data, it's automatically sent to a model hosted in the EU.
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.