I’m 18 and I built an open-source engine that analyzes raw text to extract structured propositions, assign trustworthiness scores, detect contradictions, and identify circular logic or bias — all with human-readable outputs.

It’s called AEE: Automated Epistemology Engine. It’s not just an information extractor, but a reasoning assistant designed to think about how and why we trust certain information.

Main features: • Extracts subject-verb-object propositions • Scores each statement's epistemic reliability • Detects internal contradictions and circular reasoning • Flags common bias types (assumptions, generalizations, etc.) • Generates explanatory reports in plain English

I published the code and detailed documentation here: → [https://huggingface.co/NextGenC/AEE](https://huggingface.co/NextGenC/AEE)

And a research paper version on Zenodo: → [https://zenodo.org/records/15205917](https://zenodo.org/records/15205917)

Would love your feedback, criticism, ideas — or just a chat about epistemology and AI.

Thanks!