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You have probably asked the question yourself:
"Can't AI just write the requirements?"
Yes. It can write 50 of them in 10 seconds.
That is exactly the problem.
AI is a generator. It creates an endless volume of ideas. And when you are deciding where to spend an expensive engineering budget, volume is a liability.
AI cannot judge whether a problem is actually worth solving.
It cannot weigh the political cost, the true operational drag, or the downstream consequences of a feature.
It cannot say no.
Someone on your team has to. I teach them how.
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I train your team on the Evidence Box method. It is the filter they use to catch bad ideas before you spend a dollar building the solution.
No new software. No process re-engineering. Your team keeps its tools and its workflow. What changes is the filter the work passes through before it reaches a sprint.
Get your team ready before the next sprint kicks off.
This is sprint-style training, not a curriculum. Your team learns the Evidence Box by running it on your actual backlog, against live decisions, while I am in the room.
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$5,000 for the team.
Because building the wrong thing doesn't just waste a sprint. It wastes a quarter. Engineering builds it, QA tests it, support inherits it, and the roadmap carries it forever.