Every issue of the update iNDustry Labs writes for the AI Executive Group: what regional companies are building, what worked, and what the team is reading. Published here so the thinking is not stuck in an inbox.
Five fellowship pilots wrapped up with regional partners, a working answer to where RPA ends and agents begin, and the industry news worth your time.
Why a bare model invents facts, why context beats clever prompting, and three use cases that do not need a deeply technical team.
Takeaways from the Q1 AI event, a practical tour of what the major assistants can actually do, and how the platforms compared.
The problem statements behind seven live projects, and a good read for anyone wondering what a realistic first AI project looks like.
How an industrial engineer, not a data scientist, can get a credible supply chain model on the table. The prompts included.
Where most companies already are on the agent journey, what each approach adds, and the same procurement problem solved three ways.
The first update in the series: building a scheduling tool without an expensive software package, and the CORE prompt framework worked all the way through.
When the pattern fits, how the three-phase build runs, and the lessons that save time. Written for the teams who will maintain an agent after it launches.
The update goes out to the AI Executive Group, a network of manufacturing and logistics leaders across the region. Companies working with iNDustry Labs are added to the list.
