Open State
The system's internal state is visible and inspectable at any time. The opposite of Invisible State.
Open State means the user can look under the hood whenever they want. What does the system currently "know"? What assumptions is it operating under? What's in its memory? What context is it using? Open State transforms the AI from a black box into a glass box — the complexity is still there, but it's visible. This doesn't mean the user needs to look at the state constantly; it means they can look whenever something seems off, and they'll find answers instead of mysteries.
More in System Transparency
System Opacity
The inability to see what an AI system knows, why it made a decision, or what it did. The default state of most AI tools today.
Decision Fog
The user can see the output but not the reasoning, trade-offs, or alternatives the model considered.
Black Box Agency
An agent that acts on your behalf but won't show its work. You get results with no audit trail.
Invisible State
The system has internal state that affects behavior but is not exposed to the user.
Accountability Gap
No one — human or system — can explain why a specific output was produced.
Reasoning Visibility
The user can inspect the model's chain of thought, assumptions, and decision points.
Decision Traceability
Every output can be traced back through the reasoning, context, and data that produced it.
Audit Trail
A complete, immutable record of what the system did, when, why, and with what inputs.