Causal Extractor
Causal Extractor is a research tool for causal inference and
cause-and-effect analysis. It uses Large Language Models, grounded in
a rigorous epistemology of falsifiable hypotheses, to:
- Extract testable causal hypotheses from text, PDFs, and YouTube transcripts.
- Recursively discover the chain of causes behind any phenomenon.
- Distinguish concrete interventions from upstream mechanisms.
- Build a personal library of validated cause-effect relationships.
Please enable JavaScript to use the application. For more information about the
Five Rings causal framework and the SKAI evidence engine, see the
About page.