Recommendation
Choose what to surface next, fast enough for a live conversation.
2 rows are filed under this pattern, 2 of them with code. Rows are listed as the catalogue orders them: official first, then rows with code, then by stars.
Filter and search them in the catalogue →
Rows marked “not Jev itself” or “shadow mode” stay listed, but they are not examples of deciding with Jev.
-
1 Million Emojis
A shared 1,000 × 1,000 emoji canvas where Jev paints next to people: after each stroke one request asks a choice of emoji-and-placement options and a noul on whether the stroke looks unfinished, through Vercel AI Gateway with TypeSafe direct as fallback.written by a model
-
Jevflix
Movie recommender: FAISS and BM25 search narrow 4,800 films to a shortlist, Jev reads the request's constraints (runtime, no graphic content) for code to filter on, and one Jev choice over at most 250 candidates picks a film. If unsure, an LLM weighs the top five or asks one question.written by a model