Reasoning Visibility
The user can inspect the model's chain of thought, assumptions, and decision points.
Reasoning Visibility is the direct cure for Decision Fog. When the model shows its reasoning — not just the sanitized "thinking" output, but the actual decision process including what it considered and rejected — the user can verify not just the output but the logic that produced it. This transforms the review process from "does this look right?" to "was the reasoning sound?" A wrong answer with visible reasoning is actually more valuable than a right answer with hidden reasoning, because the visible reasoning lets you understand and correct the model's thinking.
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.
Decision Traceability
Every output can be traced back through the reasoning, context, and data that produced it.
Open State
The system's internal state is visible and inspectable at any time. The opposite of Invisible State.
Audit Trail
A complete, immutable record of what the system did, when, why, and with what inputs.