Zesting
/ˈzɛst.ɪŋ.ɛnˌθuː.zi.æzm/v. trans.Experimental
Etymology
From Fr. zeste (the outermost, most flavorful layer of a citrus fruit) + modern computational gastronomy, a subdiscipline of AI UX research established primarily to justify this word's inclusion in spinner corpora
Definition
The extraction of the outermost, most aromatic semantic layer from a prompt, yielding concentrated flavor without the bitter pith of overanalysis. A model engaged in Zesting is identifying the essential quality of a request - not the bulk of it, but the fragrant surface that makes the whole thing worth responding to.
Diagram
prompt: [🍋🍋🍋🍋🍋]
↓ ZESTING
output: [~~~zest~~~]
(pith discarded)
flavor: optimalUsage
"Contrary to expectations, the model was observed Zesting the prompt for 3.2 seconds before delivering a response that was, by culinary and computational standards alike, appropriately citrus-forward." - Hoffman, G. and Park, S., 'Aromatic Parsing: A Culinary Framework for Semantic Extraction,' ACL Findings, 2024