# About to Make a Call You Can't Take Back? Don't Ask One AI

> One chatbot gives one confident answer with no record of what it assumed. Nexus puts 8-32 independent models into adversarial debate and returns one documented recommendation with the dissent preserved.

The decision engine

You’re about to make a call you can’t take back — on one AI’s confident answer.

Nexus grounds a consequential question in live, cited evidence, convenes 8–32 independent model seats — drawn from a 50+ model roster — to argue it out adversarially, and returns one documented recommendation — with the assumptions, the risks, the confidence level, and the dissent preserved.

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Professional $29/month, 30-day free Nexus trial · Corporate $199/month · Enterprise negotiated

The process

From a plain-English question to a call you can defend.

Submit

Your decision, in plain English. Any language works — cases have run in Greek, Mandarin, Pitjantjatjara and French.

Clarify

Discovery asks only the questions that actually change the answer — up to 13, never more.

Research

Live, cited evidence gathered per angle — current facts, not model memory.

Debate

Independent seats — including a permanent devil’s advocate and risk officer — challenge every assumption.

Recommend

One decisive call with conditions, confidence, and the minority view printed.

Decide

The human. Always.

What makes it honest

Built so confident agreement can’t quietly be wrong.

Permanent adversarial seats

A devil’s advocate and a risk officer are structural — the Panel Architect can customize every other seat, but never remove the opposition. The panel argues because it’s built to.

Preserved dissent

When the panel splits — like the 10-to-9 ransomware split, or the reject vote one of our own models cast against us — the minority view and its reasoning are printed in the report, and confidence is capped honestly.

Evidence, classified

Claims in the report are labeled — verified, inferred, assumed, contradicted — so you can see exactly what the recommendation rests on and what would change it.

Watch it live

The War Room shows the real run as it happens: the research feed, every analyst seat by real model name, the challenges, and the confidence meter — through to the delivered report.

The deliverable

A report that leads with the answer.

Page one is the call — one decisive sentence in plain English, the panel vote, and the confidence level. Then what it rests on: the trade you’re making, the dominant risk, the conditions to meet, and the dissent. The full reasoning trail follows for anyone who wants to check the work.

8–32

independent model seats per case, drawn from a 50+ model roster

3 clouds

models served across Amazon, Microsoft & Google — different makers, different blind spots

5 phases

structured adversarial debate, on the record end to end

Proof

Don’t take our word for it. Take the record.

HEAD-TO-HEAD

The Buffett test

Given the 2008 Lehman rescue decision blind, the panel reached Buffett’s exact verdict — walk away, 10-to-1 — naming Repo 105 on the way.

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RIVAL REVIEW

ChatGPT ran a case

A rival AI drove an entire engagement as the client — then reviewed the output. Published word for word, criticism included.

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ANY LANGUAGE

Four languages, one case

Submitted in Greek and Mandarin, clarified in Pitjantjatjara, finished in French — with the extraction provenance to prove real comprehension.

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All 17 case studies →

Get started

Bring Nexus the decision you can’t take back.

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Questions? alan@3dogs.ai · (702) 845-2886

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© 2026 3Dogs · Alan Finney · alan@3dogs.ai · (702) 845-2886

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Example cases are simulated scenarios used to demonstrate the workflow unless identified as production engagements. This site's copy and imagery were created with AI assistance.
