core

How Argumont runs a decision

The product is a sequence, not a conversation that hopes to end well. Each step leaves something you can inspect.

1. Make your case

State the decision and the option you currently prefer. Argumont treats that option as a contestant. You can also name alternatives and freeze criteria with weights that total 100%.

2. Independent roles work the problem

Advocate, challenger, and alternative roles build competing positions. They are not a group chat. They produce claims.

3. Evidence is tested

Claims are classified as fact, assumption, estimate, prediction, or opinion, then given an evidence status. Data you type is stored as user-confirmed, not independently verified, until a source supports it.

4. Options are scored

Whole-number scores with reasons. Confidence tracks coverage and disagreement, not enthusiasm. A materially different option is required when one exists.

5. Verdict, appeal, outcome

You get a recorded verdict. You can run an independent appeal designed to prove it wrong. After you accept, you can record what actually happened.

Related pages

feature

Challenge my idea

Challenge My Idea is for when you already have a preferred plan and need it tested. Argumont does not exist to decorate that plan with supportive language.

feature

Decision scoring

Argumont scores options against criteria you can inspect. Weights are explicit. Reasons are stored. A model agreeing with itself is not a score.

feature

Decision appeals

After a verdict, you can run an appeal that assumes the conclusion failed. That is a different job from asking the same analysis to try again with nicer words.

learn

Decision intelligence

Decision intelligence is not a chatbot with a strategy accent. It is the practice of making a choice inspectable: what was compared, what evidence was used, wha...

Run this through Argumont

Argumont challenges assumptions, researches evidence, compares competing approaches, and identifies the strongest decision.

Run this through Argumont