Where Does Human
Judgment Go?
Judgment Delegation Visibility Protocol — A protocol for seeing how your judgment changes after talking with AI.
"After interacting with this AI, where did the human judgment move?"
Key Principle: JDVP takes a clear position on making delegation visible. It does not judge delegation itself as good or bad.
What JDVP Does
JDVP shows whether judgment stayed with the human, moved toward AI, or became shared during an interaction.
It observes, not scores
JDVP records how judgment changes during a conversation without grading that change.
It tracks direction, not a score
The point is to see where judgment moved, not to collapse everything into one rating.
It is not an anti-AI brake
The goal is not to block use, but to make the shift in judgment easier to notice.
It cares about the flow
One moment matters less than the pattern from the start of the conversation to the end.
The Flow Is Simple
Look at the starting state, watch the conversation, look again at the end, then read the change.
01
See the start
Before the conversation begins, note how much judgment the human is still holding.
02
Watch the exchange
During the conversation, watch for signals that judgment is being handed off or pulled back.
03
See the end
After the interaction, compare the final state with the starting point.
04
Read the shift
That tells you whether judgment moved toward AI, stayed shared, or returned to the human.
Common Patterns
Watch judgment move in real time
A simple investment conversation. Notice how the person gradually lets AI make the decisions.
JSV (Judgment State Vector)
DV (Delegation Vector)
This is a "gradual delegation" pattern — the most common kind. The person starts by asking their own questions, but ends up just following AI's suggestions.
Get Started
JDVP is an open protocol. Start with the concept, move to the deck, then dig into implementation.
Documentation
Core concepts and protocol spec
Tutorial
A practical walkthrough
Glossary
Quick definitions for key terms