AI-assisted qualitative coding for research documents

I would love to see Paperguide introduce AI-assisted qualitative coding features inspired by tools like NVivo and ATLAS.ti.

The idea is not just to manually tag text, but to let the AI help researchers identify recurring concepts, suggest possible codes, group them into themes, and apply a consistent coding structure across multiple papers, interviews, notes, or uploaded documents.

This would be especially valuable for qualitative research, systematic literature reviews, thematic analysis, grounded theory, and evidence synthesis.

A possible workflow could be:

1. Select a document set or research folder

2. Ask the AI to suggest an initial coding framework

3. Review, edit, merge, or rename the suggested codes

4. Let the AI apply the approved codes consistently across the documents

5. Generate a thematic overview with supporting excerpts and source references

This would make Paperguide much stronger not only as an AI research assistant, but also as a qualitative analysis environment for researchers who need to move from reading and summarizing papers to identifying deeper patterns across their sources.