Defines the few metrics that make real AI usage visible.
Licences say nothing about usage. The KPI set provides metrics on activity, time saved, quality and spread, with a baseline and a measurement rhythm.
Start Company HackathonDocument today's effort per process.
Five at most, otherwise nobody measures.
Monthly is enough, weekly is theatre.
Discuss results in an existing meeting.
For each metric you record definition, source, owner and target. No source, no metric, that keeps the set honest.
What you end up with
| Feature | This free tool | Consultant | Doing it yourself |
|---|---|---|---|
| Price | Free | €5,000–20,000 | Weeks of internal work |
| Time to result | Under 20 minutes | 2–6 weeks | Unclear |
| Tailored to your context | Yes, against your processes | Yes | Partly |
| Usable in the team right away | Yes | After handover | Rarely |
Must evidence impact rather than claim it.
Wants to see traceable assumptions.
Measures time where it is actually spent.
01 · Use case
Track prototype impact over 90 days.
02 · Use case
Deliver numbers instead of anecdotes.
03 · Use case
Decide what gets renewed.
We run this tool live with your team and turn the result into working prototypes.
Public voices
Excerpts from public LinkedIn posts.
For me it was seeing people who've never touched Lovable or Cursor spin up a working AI tool in 24 hours.
24 hours, lots of ideas, not that much sleep... and somehow we turned it into a working product.
By the end of day one, people who had never touched a terminal were working in Claude Code and building solutions of their own.
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