{"id":747,"date":"2026-07-24T13:19:30","date_gmt":"2026-07-24T11:19:30","guid":{"rendered":"https:\/\/www.elevating-patterns.com\/?p=747"},"modified":"2026-07-24T13:22:48","modified_gmt":"2026-07-24T11:22:48","slug":"30-the-fellowship-of-the-prompt","status":"publish","type":"post","link":"https:\/\/www.elevating-patterns.com\/index.php\/en\/2026\/07\/24\/30-the-fellowship-of-the-prompt\/","title":{"rendered":"#30 The fellowship of the prompt"},"content":{"rendered":"\n

For one day, startups, universities, and research institutes came together in Mannheim to talk about Industrial AI. Sounds like the beginning of a joke\u2014or perhaps the beginning of a fellowship.<\/p>\n\n\n\n

In this episode, Christian and Michael look back at the AI Research Day, which they co-hosted with SysDICE. The big question: What does it actually take to make AI work in complex industrial environments?<\/p>\n\n\n\n

One thing quickly became clear: Industrial AI is all about context. Models need more than data\u2014they need to understand the processes, systems, and technical relationships behind it. Model harnesses might become a crucial piece of the puzzle, while reference architectures could provide the structure needed to make all of this work together. Yes, we know: reference architectures can get a little academic. But maybe this time, it’s worth the risk.<\/p>\n\n\n\n

The most concrete outcome of the day? The participants decided to write a joint whitepaper on Industrial AI. With one central idea at its heart: the Digital Thread as the key to giving AI the context it needs to understand deep technical and industrial processes.<\/p>\n\n\n\n

So, is this the beginning of a new fellowship? Or just another anti-pattern waiting to happen?<\/p>\n\n\n\n

Let’s find out.<\/p>\n