TYPESAFE AI / LANGUAGE & DATA
Messy context.
Grounded choices.
Turn unstructured context into a clear, grounded choice.
Jev chooses inside a fixed set.
Code decides what that choice may do.
Workspaces7
Open one to try it. Every workspace keeps mock, live and failed results clearly labeled.
Example builder
Explore the original catalog, edit inputs and define your own closed-set questions.
- in
- Context
- out
- typed answer
Jev Chat
Explore Jev-driven response composition, source passages, constrained fiction, and visible decisions.
- in
- Question
- out
- composed response
Conversation lab
Rank messages and find the person your bot should answer next.
- in
- Messages
- out
- best reply target
Document extraction
Select dates, vendors and amounts from values actually present in a document.
- in
- Document
- out
- selected fields
YouTube extract
Select original caption passages with Jev scores, cost tracking and timestamp-linked verification.
- in
- Video captions
- out
- chronological extract
Vector reranker
Compare Jev, vector similarity and a lexical baseline on the same candidates.
- in
- Search results
- out
- relevance order
Meme lab
Classify a meme’s humor, audience and clarity from reviewed captions.
- in
- Caption
- out
- audience fit