Our thinking.
The lessons in the work.
Stop thinking of AI as a tool.
A tool has a fixed purpose, but AI is shapeable. And that changes everything about getting the team to use it. Adoption isn't a tool problem. It's a thinking problem.
You're not behind. Yet.
Using AI as an assistant puts you in the majority, and it means you have a sense of what's possible. The gap between picturing what AI can do and building something that does it is wider than it looks.
Structure your team's thinking like the data it is.
The valuable thing your team knows isn't the facts. It's how they think, most of which has never been articulated. But it's sitting in the work, waiting for someone to pull it out.
"Hands off my work."
There are people who won't hand their work to AI no matter how good AI is. This isn't about training or trust. It's about ownership, and it kills more AI efforts than bad tools ever will.
What's the metric for 'good'?
Speed is easy to measure, but that doesn't mean it's the right measurement. 'Good' is the real thing, and defining it sets the shape of the entire system.
The AI tell and how to fix it.
People can feel prompt-and-paste work the way they feel a stock photo. The fix isn't a better model. It's building a point of view into the system.
Does any of this sound familiar? Let's talk.
Or email hello@thebigbadgood.com