Think about the AI tool you use most at work. What's the model, the app, and the harness? Which layer is doing the most work for you - and which might you be underusing?
| Single use (one person, one task) | Persistent (one person, ongoing) | Shared (the whole team) | |
|---|---|---|---|
| Conversation | Fresh each time | - | - |
| Context | Upload a file | Claude Project | Shared Projects |
| Packaged Expertise | Paste a prompt | Saved Skill | Team-wide Skill |
| Supervised Agency | One-off task | Refined workflow | Standard agentic workflow |
Think of one work task you regularly use AI for. How much context do you give it, how repeatable is your approach, and how independently does the AI act? Could someone else on the team pick up your approach and start using it right away?
Above is one proposal to build shared AI practices across the team. What do you agree with, and would you do anything differently from what's proposed? Try to be as concrete as possible.