Abstract
In multi-turn conversations with conversational artificial intelligence, details established in earlier turns are prioritized less than more recent turns as a session grows longer, and locating or reusing valuable content from within a long conversation typically requires scanning the full transcript or manually copying individual passages. This disclosure describes a message-anchoring and bookmarking approach in which each conversational turn is assigned a persistent identifier. A cited identifier is used to isolate and prioritize the corresponding turn, while unrelated conversational content is masked from further processing. Selected turns are additionally flagged through a bookmarking control, and the flagged turns are compiled, on request, into an external document or supplied as individual reference sources to a research notebook application, without inclusion of the surrounding, unflagged conversational content.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Gupta, Richa, "Selective Bookmarking and Curated Export of Conversational AI Message Turns to External Documents and Notebooks", Technical Disclosure Commons, (September 16, 2026)
https://www.tdcommons.org/dpubs_series/11745