Why Jev targets regulated industries: splitting agent reasoning from decision-making
n_sri_laasya · x · 2026-09-23
The missing layer
The author argues AI agents are standard software with an LLM intelligence layer that does two jobs: reasoning (deliberate multi-step thinking) and decision-making (gating, routing, classifying). In regulated domains (healthcare, fintech, legal engineering), forcing text-generating models to handle simple logic gates creates major headaches:
- Token tax & latency: paying $15/M tokens and 1.5s to emit a 4-token {"allow": true} makes no sense
- Schema instability: JSON mode output formatting remains unreliable
Jev's pitch
Jev fills this missing layer for regulated industries: keep frontier models for reasoning, strip simple decisions out of the LLM into deterministic systems for better cost, latency, and compliance reliability.
Related event: Jev Model Sparks Debate: A Dedicated Decision Layer Beyond LLMs(4 posts)→
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