The failure mode I see most often isn’t a bad model. It’s a bad setup.

Teams buy access to AI tools, someone sends a Slack message saying “we have AI now,” and then nothing changes. Six months later the tool is open in three browser tabs no one checks. [OBSERVED]

The gap isn’t intelligence or effort. It’s configuration. A generic AI profile has no idea who you are, how you write, what your team calls things, or what problems you’re actually trying to solve. It answers in the voice of the average of the internet. That’s not useful to anyone.

What actually works — and I’ve tested this across my own workflows extensively [VERIFIED] — is building the AI’s context before the first prompt. Role. Communication style. Goals. Constraints. The tools you use. The problems you solve repeatedly.

Once that’s in place, the model stops being a generic assistant and starts being something closer to a colleague who knows the job. Not magic. Just configuration that most teams skip because nobody told them it mattered.

The AI Setup Score exists because of exactly this. Ten questions. It tells you where your setup is leaving performance on the table. Take it free here.