Why this matters
Without a baseline for time, error rate and handoffs, a new AI system produces anecdotes rather than evidence.
The practical takeaways
- Record the current process before automation.
- Measure quality and rework, not only minutes saved.
- Review benefits after adoption stabilizes.
How to apply it
Start with one measurable workflow, define the failure boundary, and publish the result with enough context for another builder to reproduce the decision. The goal is not to chase every announcement; it is to turn useful changes into better products, skills and deployment practice.
Editorial note
This is an original FDE editorial synthesis based on the linked source. It is not a translation or reproduction of the source article.