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Documentation Index

Fetch the complete documentation index at: https://wuweism.com/llms.txt

Use this file to discover all available pages before exploring further.

Wu-Weism does not include a built-in language model. You need an API key from at least one provider — Anthropic, OpenAI, or Google — before you can run any analysis.
1

Sign in

Go to wuweism.com and sign in with your account. If you do not have an account yet, create one on the same page.
2

Add your AI provider API key

Open Model Settings from the left sidebar. Select your provider (Anthropic, OpenAI, or Gemini) and paste your API key into the key field. Click Save.Wu-Weism uses your key to power causal inference. Your key is transmitted directly to the provider and is never stored on Wu-Weism servers.
If you are unsure which provider to use, Anthropic Claude models perform well on structured causal reasoning tasks. See the AI Providers guide for a detailed comparison.
3

Open the Causal Workbench

Click Causal Workbench in the sidebar, or navigate directly to /chat. This is your primary surface for structured causal dialogue.
4

Ask your first causal question

Type a question that involves a causal relationship you want to examine. Be specific about the variables you care about.Good first questions follow a clear causal structure:
Does increasing X cause Y to decrease, controlling for Z?

What is the effect of [intervention] on [outcome] in [population]?

Would [outcome] have occurred if [condition] had been different?
Wu-Weism works best when your question names the variables, the direction of interest, and any known confounders. You do not need to specify the SCM yourself — Wu-Weism builds it from your domain.
5

Read the response

Each response from the Causal Workbench includes structured metadata you can inspect:
  • Domain classification — the causal domain Wu-Weism assigned to your question (e.g., epidemiology, economics, environmental science).
  • SCM loaded — which Structural Causal Model was instantiated, including the variable set and edge structure.
  • Causal density — a measure of how many causal relationships are active in the current model, giving you a sense of how complex the reasoning graph is.
  • Ladder rung — whether the response operates at the level of association (rung 1), intervention (rung 2), or counterfactual (rung 3).
If Wu-Weism cannot answer at the rung you implied, it will tell you what additional assumptions or data would be needed to move up the ladder.
6

View your claim in the Claim Ledger

Navigate to /claims to see your first recorded claim. Every causal conclusion Wu-Weism produces is automatically logged in the Claim Ledger with:
  • The full provenance chain — which question generated it, which SCM was active, and which model produced the response.
  • A confidence score and uncertainty label.
  • The falsifiability condition — what evidence would overturn this claim.
You can return to the Claim Ledger at any time to audit, annotate, or export your research conclusions.

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What to explore next

Core concepts

Learn how the causal ladder, SCMs, and claim governance work together.

Hybrid Synthesis

Reconcile conflicting claims across multiple documents or data sources.

Run your first full analysis

A guided walkthrough of a complete causal analysis from question to governed claim.

AI Providers

Compare providers and configure advanced model settings.