Insights

Notes on building AI for businesses

Writing on data infrastructure, private LLMs, integrations, automation and AI agents, drawn from the problems that come up when we build them.

Running language models inside infrastructure you control, and when that trade-off is worth making.

Why a group of specialized agents sharing context outperforms one general assistant asked to do everything.

Apply it

Reading about AI is easier than deploying it.