Versus multi-agent chat
Multi-agent chat products put several personas in a thread. That can be engaging. Argumont is not trying to win as entertainment. The user should not need to un...
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ChatGPT, from OpenAI, is a general-purpose assistant that can discuss almost any topic in a conversation. That is useful. It is not the same product as a structured decision system that stores options, claim types, scores, and appeals.
A general assistant is strong at drafting, exploring, and talking through a problem in natural language. Many people already use that as informal decision support, and that can be a reasonable first step.
Argumont is built so a session produces a contest among options, not only an answer. Claims are typed. Evidence status is visible. Scores can be opened. A later visit should not require scrolling a transcript.
Argumont does not treat agreement among models as proof. Five fluent answers can share a false assumption.
We are not claiming a general assistant cannot help someone think. We are not claiming any provider's models are weak. In Argumont, role and model are separate, and providers stay behind the server.
Multi-agent chat products put several personas in a thread. That can be engaging. Argumont is not trying to win as entertainment. The user should not need to un...
Support is research, structure, challenge, and a draft score. Authority stays with the person who will live with the outcome.
A graph in Argumont is there so you can see which claims support which scores. If a node is load-bearing and unverified, that should be obvious.
These pages describe product differences. Where we mention another company, we stick to what that product is generally for. We do not invent their pricing, benc...
Argumont challenges assumptions, researches evidence, compares competing approaches, and identifies the strongest decision.
Run a decision, not a chat