"Businesses lose time and money to invoice errors that go unnoticed until it's too late. I built an automated pipeline that extracts invoice data, cross-checks it against vendor history, and flags anomalies with clear AI-generated reasoning — all visualized in a real-time dashboard. Stack: LangChain, Groq, n8n, FastAPI, Next.js."

I run my company on an AI chief of staff I built. It is called Coulson. Every morning it puts the day on one page before I open email: the three revenue priorities, every commitment with its date, and one list of what is waiting on my approval. Behind it, a team of AI agents drafts replies, prepares meetings, chases follow ups and sends an end of day report at 7 PM. Nothing goes out without a yes. Now I build the same system for other companies. The case study, with real screens on sample data: hqlabz.com/work/coulson