Not Every Good Idea Deserves Automation

Symptom

I spent about an hour changing the filename format for field notes even though the change did not solve a real problem.

Context

The model suggested storing notes with a date and slug instead of only a date in the filename. The idea sounded convenient, so I started implementing it immediately. During the work it became clear that the new format did not provide meaningful value for the current workflow.

Root cause

I accepted a proposal for implementation before defining the problem, expected benefit, and success criterion. The idea passed the test of sounding reasonable, but not the test of being necessary.

Broken assumption

I trusted the model. It can produce a plausible optimization whose implementation and maintenance cost are not worth the benefit.

Detection

The signal was the lack of a concrete result after a noticeable amount of work: the new filename format did not speed up discovery, improve publishing, or remove an observed problem.

Fix

I stopped the change and returned to the existing format. For subsequent decisions, I recorded the need to check the problem, expected benefit, and measurement method separately.

Test

Before implementing a proposal, record a short decision note with:

• the original problem;
• the expected effect;
• the success criterion;
• the cost of the change and rollback.

If these points cannot be stated, the change is still a hypothesis rather than an implementation task.

General lesson

Distinguish “I like the idea” from “the idea benefits the system.” Regular field note reviews help turn observations into decisions instead of automatically increasing the number of changes.