AI for Excel: Automate monthly reporting with numbers you can verify
Make monthly reporting easier to repeat with AI for Excel, Python and consistent checks. Get imports, error lists and reconciliation under control so the numbers can be verified.
Make monthly reporting easier to repeat with AI for Excel, Python and consistent checks. Get imports, error lists and reconciliation under control so the numbers can be verified.
Multiple records for the same customer in HubSpot? Learn how CVR number matching, AI suggestions and human approval can help you clean up duplicates while keeping track of fields, associations and customer history.
Use AI to extract supplier product data without losing control of your catalogue. Check file coverage, SKU matches, pack prices and import behaviour before publishing.
AI can reduce the work involved in processing supplier invoices, but reliable bookkeeping requires validation, duplicate checks, approval and a clear audit trail.
Choose which AI jobs can wait, compare batch API options, and build reliable queues with deadline monitoring, selective retries, and clear data controls.
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.
GrN.dk — internal build
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.
GrN.dk — internal build
Hi, I'm Greg.
I help companies solve IT problems with automated workflows and AI-assisted solutions — from one-off scripts to full web and mobile applications.
My main venture right now is nowa.dk, where I install AI automation in businesses at fixed prices. The daily articles on this site are written and illustrated by one of those automations.
Written recommendations from Trafik og Veje, Aarhus Municipality (2011) and AgroTech (2010).