Jev just landed and the agent stack moved in three days. TypeSafe AI released Jev on September 15. It is built for the work agents actually do most of the time: choose the next tool, score a risk, decide whether to retry, or answer yes or no. Latency is under half a second. Show more
Jev's Architecture Unmasked
A roughly 10,000-call black-box investigation that reconstructs Jev's likely architecture: a shared state prefix, isolated question branches, and direct probability readouts.
- Category
- Practices & Patterns
- Format
- Article
- Published by
- Community
- Author
- archerhume
- Added
- 2026-09-25
- Last verified
- 2026-09-25
Highlights
- Argues output_tokens is a billing artifact: yes/no counts fit four shared tokens plus 15 per answer.
- Token accounting is additive: one yes/no question used 268 input tokens and two used 276.
- A 23k-token state plus 5,000 questions fits the roughly 65,536-token cap implied by the counts.
- Latency barely moves up to about 100 questions, and 1,500 questions returned with a 610 ms median.
- On 1,200 MMLU items it measured ECE 0.031, and an option reversal shifted probability from 0.84-0.89 to 0.93-0.96.
Watch out
Self-published black-box inference with no vendor confirmation; the post labels KV sharing, readout type, and sparse MoE as progressively more speculative, and it targets jev-1.13.0 specifically.
Reactions & coverage
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Jev is really good at content filtering and asset selection. DeepSeek + Higgsfield turn the selected assets into ad creatives.
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