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Steven Jannette
2026-08-23 21:50:50 +00:00
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![kongruity demo image.](kongruity_demo_image.png) ![kongruity demo image.](kongruity_demo_image.png)
kongruity pulls in unstructured artifacts of the creative-engineering process -- to-dos, action items, agile tickets, Jira thread comments, Slack thread comments, retrospective notes -- and synthesizes them into semantically coherent, prioritized clusters that can be incorporated into implementation planning. kongruity pulls in unstructured artifacts of the creative-engineering process, capturing "AHA!" moments scattered across an engineering team's disparate tools: action items or backlog in Atlassian/Jira, user story comments, Slack discussions, retrospective feedback.
In kongruity, the artifacts become "sticky notes." A board full of them looks chaotic.
With a click, they are semantically evaluated, grouped into thematic clusters with descriptive headers, rankable and exportable to project planning and execution tools. It stores and synthesizes these into semantically coherent, prioritized clusters that can be incorporated into implementation planning.
In kongruity, artifacts become "sticky notes." A board full looks chaotic. With a click, a RAG-pipeline levearges Models trained to semantically evaluate, group, cluster and add descriptive cluster headers.
These are rankable, editable and exportable to sprint project planning tools.
## Clustering and evaluation: methodology ## Clustering and evaluation: methodology