Summarization at scale: the same documents keep getting summarized
Reports, tickets, calls, and articles get summarized on every view, by every viewer, in every digest. The document didn't change between viewers. The bill did.
Summarization workloads repeat along a sneaky axis: not identical queries, but identical inputs. The Monday metrics report gets summarized for every executive who opens it; the same support ticket gets condensed in every escalation view; the same earnings call gets digested by every analyst's feed. Same document, same model work, n times.
Crowkis catches input-repetition naturally — the document's content hashes into the match, so 'summarize this report' over identical bytes is a perfect hit regardless of who's asking or how they phrase the wrapper. Multimodal support extends the same logic to image-bearing inputs via CIMGGET.
Every paraphrase is a fresh bill — unless the cache understands meaning.
Parametric summaries — 'three bullets for execs' versus 'a paragraph for the team' — stay distinct through structural templating: the instruction shape is part of the match, so formats don't bleed into each other while each format caches independently. Freshness ties summaries to document versions; edit the doc, the stale summary dies.
The bottom line
Reasoning reuse adds a deeper cut for recurring document types: the summarization approach for your weekly-report format gets extracted once and recomposed across instances. The model learns the shape of your Mondays exactly once.