Refine README.md content for clarity and accuracy
Updated descriptions for clarity and corrected typos.
This commit is contained in:
@@ -1,10 +1,10 @@
|
||||
# kongruity
|
||||
|
||||
kongruity pulls in the unstructured artifacts of the creative-engineering process -- to-dos, action items, agile tickets, Jira comment threads, Slack threads, retrospective notes -- and synthesizes them into semantically coherent, prioritized clusters ready for implementation planning.
|
||||
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 incoporated in implementation planning.
|
||||
|
||||
In kongruity world, these artifacts are "sticky notes." A board full of them looks chaotic. With a click, an LLM analyzes their semantic meaning and groups them into thematic clusters, each with a descriptive header.
|
||||
In kongruity world, the artifacts become "sticky notes." A board full of them looks chaotic. With a click, the LLM analyzes their semantic meaning and groups them into thematic clusters, each with a descriptive header.
|
||||
|
||||
An independent embedding-based evaluation scores clustering quality, so the output is data-backed. From there, teams can simply drag-and-rank clusters by implementation priority, turning noise into an actionable workflow.
|
||||
An independent embedding-based evaluation model scores clustering quality, so the output is qualitatively refined. From there, teams can drag-and-rank related task clusters by implementation priority - turning noise into an actionable workflow.
|
||||
|
||||
## How it works
|
||||
|
||||
|
||||
Reference in New Issue
Block a user