Studio note · 02 / Team training
AI training should change Monday morning.
3 min read
By Keith Staggers
01
A good demo can still be bad training.
AI demonstrations are easy to make impressive. A polished output appears in seconds and everybody leans forward. Then Monday arrives, the real work returns, and the team does exactly what it did before.
That gap matters. Inspiration has value, but a business cannot measure applause. It can measure time saved, work completed, mistakes avoided, and ideas that made it into the world.
02
Train on the work people already own.
The fastest way to make AI useful is to bring it into a real workflow. Use the documents, decisions, and constraints the team faces every week. Generic examples teach a feature. Real examples teach judgment.
People also need permission to ask basic questions and room to make a mess. A workshop should make the technology less mysterious without pretending it is harmless or automatic. Clear guardrails create confidence. Hype creates hesitation later.
03
Pass the Monday morning test.
Every person should leave knowing one task they will do differently, one repeatable process they can use, and one boundary they should not cross. That is enough to create momentum.
Training works when the next ordinary workday feels different. The goal is not to turn everyone into an AI expert. The goal is to help capable people become more capable at the work that already matters.
Put the idea to work