Cross-examine an AI answer after it arrives.
Team Reason is the button you click when an answer looks good, but you want a second mind to challenge it. MultipleChat sends the original question and answer to a reviewer AI, which chooses the most useful lens and exposes what the answer missed.
Works after single-model answers and after AI Collaboration responses.
After response arrives
Click Team Reason to cross-examine it.
AI answer
Reviewer lens
Stress test
This answer works for the easy case, but it assumes stable inputs. Under high load, edge cases, or adversarial use, the first break point is...
1 click
Runs after an answer, not before your prompt.
5 lenses
The reviewer chooses the most useful one.
2 modes
Works in single AI chat and AI Collaboration.
It does not just ask another AI to summarize.
Team Reason sends the original user prompt and the AI answer to a second reviewer. The reviewer picks one logical lens, applies it directly to the answer, and returns a compact markdown analysis.
An answer arrives
The response can come from a single model or from MultipleChat AI Collaboration.
You click Team Reason
The question and answer are sent to the reviewer. You do not need to rewrite the prompt.
A lens is selected
The reviewer chooses the single lens most likely to reveal what the answer missed.
You get the critique
The output is concrete: missed assumptions, weak logic, hidden conflicts, or context gaps.
Different answers need different kinds of pressure.
Team Reason does not apply all lenses at once. It chooses the most useful one for the specific question and answer, then goes deep enough to be useful.
Root cause
What deeper problem produced this?
Finds the underlying system or pattern instead of fixing only the visible symptom.
Stress test
Where does this break first?
Pushes the answer through scale, edge cases, adversarial use, or hostile conditions.
Conflict resolution
What contradiction was avoided?
Finds a higher frame where two valid but conflicting views can both be addressed.
Contextual fit
Is this generic or truly yours?
Binds the critique to your actual task, stack, history, files, and constraints.
Pattern match
What known rule changes the answer?
Applies a useful convention, domain pattern, or codebase rule the answer ignored.
Reasoning critique is not the same as fact-checking.
Both improve trust, but they answer different questions. Auto Verification asks whether claims are supported. Team Reason asks whether the answer's logic, assumptions, and fit are strong enough.
Auto Verification
Checks facts
Useful when the answer makes factual claims, cites sources, or needs hallucination control.
Learn about Auto VerificationTeam Reason
Checks reasoning
Useful when the answer sounds plausible but may be shallow, generic, brittle, or missing the real issue.
Use Team Reason when the answer matters.
Before decisions
Stress-test a recommendation before you act on it.
Before shipping code
Look for edge cases, hidden assumptions, or missed conventions.
Before sending writing
Find generic reasoning, weak arguments, or missing audience context.
After AI Collaboration
Challenge the synthesized answer with one more independent lens.
Common questions about Team Reason.
When does the Team Reason button appear?
It appears after an AI answer arrives. You can use it on a single-model answer or on a response created through AI Collaboration.
Does Team Reason run all five lenses?
No. It chooses the single most useful lens for that specific question and answer, then applies it directly.
Is Team Reason the same as Auto Verification?
No. Auto Verification focuses on factual support and hallucination control. Team Reason focuses on logic, assumptions, context, contradictions, and brittle reasoning.
Does it replace the original answer?
No. It adds a separate analysis so you can decide whether to revise, rerun, or trust the original answer.
Make good AI answers harder to fool you.
Use Team Reason when an answer sounds polished but deserves pressure. It is the extra reviewer sitting beside every response.