An AI agent programmed a Siemens S7-1500 through an MCP bridge
The useful part is the refusal: the agent knew the E-stop belongs to hardware safety, not code.
The useful part is the refusal: the agent knew the E-stop belongs to hardware safety, not code.
Ahmed Abdel Rahman splits geomodel quality checks into six agents, each with one job, such as finding gaps in well logs, checking upscaling and comparing 3D properties with well data. The agents point to where an expert should look and leave the modelling tools and the geomodeller's judgment in place.
Claude writes the process route with stations, cycle times, breakdown rates and yields, sizes each station from demand, and a discrete event simulation computes every number on screen, from throughput to the bottleneck.
For manufacturing and industrial engineers sketching a new line: click a station, change its cycle time or buffer, and watch where the bottleneck moves.
Davy Demeyer gives Claude the batch size, batches per day and one reactor tank, points it at the Acceleer MCP server, and lets it run for a couple of hours before a first design review. The engineer's job moves to the review; he is taking a limited number of paid proofs of concept for chemical, pharma and food plants.