“Calibrate the judge with a few human labels and show the disagreement.”
Labeling each case is a research project; labeling none leaves the judge unchecked. A handful of human labels on the cases the judge is least sure about tunes it. The disagreement rate then tells the team how far to trust the rest. Disagreement kept in view is the trust signal.
The Context Matrix
Where this principle has been tested. Untested cells are honest gaps, not passing grades — seen evidence for one? Tell us.
| Chat | IDE | CLI | Canvas / Doc | Ambient / Background | |
|---|---|---|---|---|---|
| Coding | |||||
| Knowledge Work | ● | ||||
| Consumer | |||||
| Enterprise Ops | |||||
| Creative |
● supports · ◐ boundary · ✕ violates · blank untested
Linked Patterns
Evidence
An alignment score against human-graded examples, per judge version.
Ten examples at a time; an alignment score decides when the judge is trusted.
The Agents & Humans Briefing
Agentic experience design, coding agents, MCP, and the signals that matter — weekly, free, in about five minutes.
Free. No spam. Unsubscribe anytime.