The SAFE AI Use Sprint — Waitlist
Two live sessions. One workflow built on your real work. A method for critical evaluation that stays with you long after the Sprint ends.
There is a version of AI adoption that looks productive on the surface and quietly costs you something underneath. You automate tasks you shouldn't have delegated. You accept outputs you didn't critically evaluate. You get faster at the wrong things — and you don't notice until the wrong thing has already happened. In a client deliverable. A decision. A document that went out with your name on it.
I've watched people adopt AI the way they adopted every other tool: copy what the fast movers are doing, optimise for output, ask questions later. And I understand the pressure. When everyone around you seems to be moving, standing still feels like falling behind.
"The moments where AI made things worse were never the moments where I moved slowly. They were the moments where I moved without a filter."
No criteria for what task to hand over. No method for evaluating what came back. No sense of where thinking needed to stay in the loop. The problem was never the tool. It was the absence of a system around the tool.
That's the gap the SAFE AI Use Sprint was built to close. Not just "here is how to build a workflow" — but here is how to build one you can actually trust. One you understand well enough to explain, defend, and improve.
Built on the SAFE Framework
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