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Tenth Man
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Tenth Man

AI Built To Disagree

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Most AI tools optimize for agreement. Tenth Man optimizes for dissent.


Three agents - Strategist, Skeptic, Synthesizer - run structured adversarial analysis on your decision.


The Skeptic attacks assumptions. The Synthesizer makes a call.


Confidence is capped by what's unresolved, not by how good the answer sounds.


No chat. No "it depends." A real decision brief.

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Features

  • Explicit assumptions
  • Structured critique
  • Confidence caps
  • Mandatory dissent

Use Cases

  • Hiring your first senior exec.
  • Raising or delaying a round.
  • Killing or doubling down on a product.
  • Entering a partnership.
  • Walking away from a deal.
  • Firing a founding team member.

Comments

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Founder of Tenth Man AI, tech entreprene...

I built Tenth Man because I kept watching smart founders make bad decisions due to a lack of opposition. Every advisor in the room agreed. Every AI tool they consulted found a way to validate the plan. And there was no structural mechanism to force anyone to assume the crowd was wrong. The Tenth Man doctrine comes from military intelligence: if nine people agree, the tenth must disagree. The assumption is that consensus, by itself, is a blind spot. So I built a three-agent, three-model system where dissent is mandatory. A Strategist makes the case for action. A Skeptic attacks assumptions, incentives, and weak logic. A Synthesizer makes a call and owns the risk. Confidence is capped mechanically by what's unresolved - the system fails loudly if it tries to sound more certain than the evidence justifies. It's not a chatbot. You don't ask it questions. You submit a decision, and it tells you what you're missing. The decisions I had in mind: hiring a senior exec, raising or delaying a round, walking away from a deal, firing a co-founder. The ones where "it depends" is not an answer and the downside is real.

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Founder of Tenth Man AI, tech ...
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Comments

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Founder of Tenth Man AI, tech entreprene...

I built Tenth Man because I kept watching smart founders make bad decisions due to a lack of opposition. Every advisor in the room agreed. Every AI tool they consulted found a way to validate the plan. And there was no structural mechanism to force anyone to assume the crowd was wrong. The Tenth Man doctrine comes from military intelligence: if nine people agree, the tenth must disagree. The assumption is that consensus, by itself, is a blind spot. So I built a three-agent, three-model system where dissent is mandatory. A Strategist makes the case for action. A Skeptic attacks assumptions, incentives, and weak logic. A Synthesizer makes a call and owns the risk. Confidence is capped mechanically by what's unresolved - the system fails loudly if it tries to sound more certain than the evidence justifies. It's not a chatbot. You don't ask it questions. You submit a decision, and it tells you what you're missing. The decisions I had in mind: hiring a senior exec, raising or delaying a round, walking away from a deal, firing a co-founder. The ones where "it depends" is not an answer and the downside is real.