Human approval should depend on impact, not tool count

The part of “Human approval should depend on impact, not tool count” I would measure first is the handoff back to a person. Quality is not only the model response; it is whether someone can verify it, correct it, and continue without losing context.

A useful counterpoint on “Human approval should depend on impact, not tool count” is that the simplest baseline deserves a real test. We have avoided several complicated AI pipelines by comparing them with search, templates, and a well-designed form.

For “Human approval should depend on impact, not tool count”, our best improvement came from saving representative failures as an evaluation set. Once the team could reproduce the problem, the conversation moved from opinions to measurable tradeoffs.

I would add privacy and retention to this discussion. Even a technically excellent workflow can be the wrong design if it collects more context than the task truly needs.