Guides / video walkthroughs

Jev Illustrated Video Guides

Subtitle-driven, frame-verified walkthroughs with unique alt text for image search. Three curated videos rebuilt as scannable step guides—with proof frames and timestamp jumps back to source.

Three curated

Each guide ships 4 key frames, numbered steps, FAQ, and YouTube timestamp deep links.

Typesafe AI founder Dio Almada presents Jev as a System One classification model that accepts state text and typed Choice, Score, or Noul questions without autoregressive token generation.

Runtime: 16:19•Sam Witteveen

Jev Classification Quickstart: OpenRouter API, Primitives & Real Probabilities

OpenRouter integration, three typed primitives, and live probability distributions for routing, sentiment, and yes/no gates.

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Diagram explaining how ChatGPT-era LLMs optimized for human chat create downward pressure on workflow automation layers that demand sub-second categorical decisions.

Runtime: 7:12•Caleb Writes Code

Jev Architecture Explained: Why 70ms Decision Models Beat LLMs for Workflow Automation

Why chat-optimized LLMs fail automation SLAs, and how Jev parallel sampling becomes the logic gate layer at 70–500ms.

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Google Flights browser agent benchmark overlay showing 178 millisecond Jev decision loop time after migrating from sequential VLM screenshot polling to parallel structured sampling.

Runtime: 8:48•Alex Hitt

Ultra-Fast Browser Agents with Jev: 178ms DOM Loops & Dual Model Orchestration

DOM snapshot filtering, parallel sampler actions, RLCD calibration, and dual-model loops for sub-second browser automation.

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