AI can reduce the work involved in processing supplier invoices, but reliable bookkeeping requires validation, duplicate checks, approval and a clear audit trail.
Personal automation, public-source scraping and AI-assisted filtering
This one has no link on it, and that is the point: jobs.grn.dk answers 401 to the internet and always has. It is an internal tool — a job radar, built for its owner's own search for work. Every morning it reads seven contract and job boards, drops everything that cannot match a written profile, has what survives judged by a language model against that profile, and presents the handful worth reading as one screen with three buttons: applied, draft email, discard.
Because it holds one real person's live job search, nothing of it is published here. The screenshot above is a throwaway demo copy of the same interface, seeded with invented rows — every company, title, location and address in it is a placeholder, and it labels itself "demo data" in the header so it can never be mistaken for the live board.
crypto-dash.grn.dk is the public window onto a strategy-research rig that runs on our own server and trains itself. Every hour it backtests a fresh batch of trading-strategy configurations against five-minute crypto candles, scores each one on data it was not fitted to, keeps a running leaderboard, promotes the configurations that hold the top into a simulated book, and demotes them again as soon as their forward behaviour drifts away from what the backtest promised.
It is paper trading only. The installation holds no exchange keys, calls no order endpoint and has no account to spend from. Every fill, every position and every P&L figure on that page is simulated — which is why the page prints PAPER ONLY on itself, in orange, at the top of every hourly regeneration.
