crossread_assist_ai_agents_workflow
to help reader connect stuffs between 2 sources
Requirement ?
- identify keyword’s types between 2 sources
- technical terms, nouns, proper nouns(specific name)
- identify semantic relationship between each keywords?
- identify atomic core (summary) from each source’s content (more abstract compared to the previous)
- e.g. core(summary) of the 33rd paragraph: Steve Jobs did a right thing when designing Macintosh
Questions
- are those two sources related by keywords
- are those two sources emitted similar reasoning
- relationship between keywords comparison
- are those two sources emitted similar conclusion
- core idea comparison: consensus, different, opposite ?
- get bag of keywords from each source
- (separate between each sources, each source uses different AI)for each chapter, each paragraph, list out important keywords (technical terms, common nouns, proper nouns)
- get semantic relationship between keywords
- (separate between each sources) from the previous step, find relationship between each keywords (meaningful triples, not all keywords)
- concat, compare between 2 sources (compare between two sources, if some keywords are founded in both sources, are they have the same relationship?)
- get summary
- (separate between each sources, each source uses different AI) for each chapter, each paragraph, get summary
- the center AI find connection between two sources
https://gemini.google.com/share/20843eaf9c0c
- handle synonym
- Entity Linking
- coreference resolution
- Comparing “relationships” is hard. Is “Steve founded Apple” the same as “Apple was created by Steve”? A standard string comparison will fail here. You need Vector Embeddings or Natural Language Inference (NLI) to detect if these statements entail each other.
- What it is: Determining if Sentence A implies, contradicts, or is neutral towards Sentence B.
created on: Wed Dec 10 2025