Real-world examples of fast, typed decisions.
Software Automation
AI trading agent reads an asset-pair price feed, decides buy/sell, and executes real orders on Kuru’s on-chain order book via Monad within each 300ms block.
Jev replaces prompt-based context compaction with instant relevance scoring of every tool call, dropping irrelevant ones to compress context at near-zero latency.
An AI director routes livestream context into real-time camera cuts, price-card overlays, model-delegated Q&A, off-topic filtering, and feature-verification flags—every routing decision rendered directly on screen for AI-run live shopping.
A realtime generative-UI demo where an LLM streams JSON-driven decisions to instantly pick and render the best shadcn component—e.g., choosing between a data table and a donut chart—for the given data.
Interaction
Open-sourced Qwen-2.5-1B-RLCD achieves 5x faster on-device inference for type-safe JSON workloads by batching all JSON keys simultaneously and generating categorical probabilities without new training, demoed on an M4 MacBook and available on Hugging Face.
A typesafe browser extension acts as an undetectable realtime adblocker by classifying every DOM element as ad or non-ad and removing flagged elements on the fly.
A hacked-together Next Edit Suggestion feature implemented in Jev, resurrecting the Copilot-style predictive editing capability most people forgot existed.
A Chrome extension that filters the internet in plain English: pick a post, describe what you don't want to see, and it hides similar content as you scroll, applying the same rules across every site.
Gaming Worlds
A social simulation gave 24 AI agents their own memories, relationships, and limited visibility inside a flooding town, letting each decide over 237 real API calls whether to escape, help strangers, or search for family.
A coding agent wired a game-playing harness into StarCraft on the first attempt and autonomously won the mission, demonstrating one-shot tactical strategy execution.
A real-time demo shows the Jev model playing Tetris, generating moves fast enough to actively push blocks downward.
A decision-only (non-LLM) model played 5+0 blitz chess at ~2.6s/move—one API call per move—flagging Fable 5.1 despite being down 16 material, but got mated in 18 moves by Astra.
Physical Control
Tesla Full Self-Driving was rebuilt from scratch in under an hour using a single model, a claimed major unlock for rapid autonomous driving development.
Jev built a working drone application demo in just 15 minutes for $0.10, showcasing fast, ultra-low-cost prototyping for autonomous vehicle applications.
A robot-arm agent autonomously improvised tool use—grabbing a hook to drag an out-of-reach cube within range before completing the pick-and-place—running fast enough for real-time robot control.
A self-driving car simulator demo where a typed "System One" LLM ingests structured sensor state and emits typed driving decisions—steer, brake, overtake—while handling pedestrians and speed limits, now publicly accessible via prompt.
An OSS library and x402 API turn Vercel AI Gateway's free Jev into a text extractor by having the typesafe model return indexes into the input and slicing the text — no LLM needed.
A hack that turns Jev into a conversational agent you can chat with directly.
An LLM built from first principles: a classifier answers 29 yes/no questions per character to pick the next key (a–z, space, comma, or period), appends the highest probability, and feeds the updated text back in an autoregressive loop.
An image-generation demo that draws pictures by predicting every pixel in parallel instead of decoding them sequentially.