People who have genuinely internalised this use AI less than they used to. Less because they understand the cost. Less because they can see when the tool is wrong for the task. That judgment is trainable and, unusually, measurable. Linguist names it. Cyborg measures it.
Token spend, "feels draining", inconsistent output. Those are symptoms. The cause is that nobody on the team has a shared idea of when the machine is the right tool. Some people dispatch everything to it, drain themselves re-explaining context and drift into machine-paced work. Others avoid it where it would genuinely help. Both cost you. You can feel it. You can't name it. So nobody fixes it.
The headline outcome. People know when to reach for the machine, when not to, and pay less re-grounding it when they do.
Every completer reaches the Enabled tier. Deliberate, intentional use of AI for real work.
Instrumented sandbox + published rubric. Bracket placement before. Movement after.
| Component | Per seat | Notes |
|---|---|---|
| Baseline audit | €0 | Pre-engagement, included. |
| Enabled programme (6 wk) | €800 | Cohort or internal-only. |
| Post-training assessment | €200 | Same rubric, same sandbox. |
| Advanced upgrade | €600 | Engineers on Claude Code. |
Indicative. Minimum 10 seats. Volume terms above 50. Optional quarterly refresh available post-engagement.
Every completer reaches the Enabled tier as defined by our published rubric, or we extend the programme at no additional cost until they do.
Linguist is the only published rubric for AI-fluency capability. Cyborg is the only instrumented sandbox built around it. Next step: a 30-min call to scope your team and book the free baseline — linguist.vuelolabs.com/teams