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# kongruity app
kongruity employs Large Language Model ("LLM") semantic grouping to cluster large volumes of "to dos" or issue tags in development settings, by their thematic or topical similarity.
kongruity clusters large volumes of unstructured action items in development settings by their thematic or topical similarity.
(To learn more about semantic grouping, see, e.g., [Kozlowski A., Boutyline A., Semantic Structure in Large Language Model Embeddings Aug. 2025, arXiv:2508.10003v1:04 Aug 2025](https://arxiv.org/html/2508.10003v1)).
In kongruity, "to dos", action items, agile tickets, Jira comments (appropriately tagged) ... all the myriad artifacts of the creative-engineering process, become thematic "sticky notes."
In kongruity world, "to dos", action items, agile tickets, Jira comment threads (tagged for harvesting) ... the myriad artifacts of the creative-engineering process, are "sticky notes."
kongruity's React/Vite UI displays a board of your team's seemingly chaotic "sticky notes".
kongruity's React/Vite UI displays a board of your team's seemingly chaotic "sticky notes". But with one click, they are transformed into manageable, actionable groups, each with a header that explains that group's semantic relation.
They are transformed into manageable, actionable groups, with headers that explains each group's semantic relation, and project magament UI options: ranking temporal priority for future relase goals.
The backend features an Express server/API that serves "sticky note" data and proxies semantic grouping requests to Large Language Models.