ROUTEBusiness workflows
Jev Decision AI

Jev is an AI model that analyzes text prompts and provides decisions in one of three formats: Yes/No with confidence percentage, selection from a list, or a score on a scale.
TakeHiggsfield is one of the first apps to use it: Jev reads your prompt and picks the best video or image model for it automatically An AI that does not write anything.
Pattern↑ State to typed decisions for software
I spent my weekend going through Jev, the AI model everyone is talking about. Here is the simple version.
#Higgsfield didn't make Jev, Typesafe AI built it and launched it on Sept 15. Higgsfield is one of the first apps to use it: Jev reads your prompt and picks the best video or image model for it automatically
An AI that does not write anything. No chat, no code. You give it text and a question, it gives you a decision.
It answers only 3 types:
→ Yes / No with % confidence
→ Pick one from a list (up to 255 options)
→ Score on a scale
-Speed: 70 to 500 milliseconds per answer
-Price: $0.042 per 1M input tokens. Output is free.
Real numbers from early users:
• 1,018 research papers sorted for $0.08
• 5,000 requests for about $2
• One test: ~25x faster than Claude Fable 5.1
Useful for:
• Support teams sorting tickets
• HR screening resumes
• Apps routing prompts to the right model
• Devs checking if an AI agent's action is safe
• Bulk data labelling
Now look at a fresher HR job:
- Does this resume match the JD? Yes/No
- Which role fits? Pick one
- Rate this candidate 1 to 5
Same 3 questions.
The math:
• 1 resume + JD = ~1,500 tokens
• 10,000 resumes = 15M tokens
• Price: $0.042 per 1M tokens, output free
• Total: ~$0.63 (about ₹55)
A human takes ~7 seconds per resume = 20+ hours.
Jev: under half a second each.
Early users: 1,018 papers sorted for $0.08. 5,000 requests for ~$2.
Limits:
• Can't write, do math or read images
• Only 32K context
My take: a fast, cheap decision layer. Not a ChatGPT replacement. Use it next to a big model, not instead of it.
Would you try it?




