QuantDinger: AI Trading OS with Jev System One integration
Open-source AI trading operating system that integrates TypeSafe Jev / System One as a pre-trade decision gate, with decision flow and JEV_API_KEY configuration.
JEV · CURATED DISCOVERY
Explore TypeSafe Jev in one place, from launch posts to real demos. Find use cases by industry, see original video frames, and play the posts right here.
01 / GLOBAL
Ranked from public owner locations using Stars, forks, recent growth, and update activity.
02 / DISCOVER
From finance and gaming to security review. Every listed post is checked against its X source.
03 / LATEST
Recently added Jev posts, ordered by source publish date.
04 / OPEN SOURCE
Discover SDKs, tools, demos, and integrations built by the community.
Open-source AI trading operating system that integrates TypeSafe Jev / System One as a pre-trade decision gate, with decision flow and JEV_API_KEY configuration.
A curated list of public projects, integrations, and discussions built on Jev, TypeSafe AI's System One model for typed decisions.
Explains how modern AI agents are built, covering loops, tools, memory, and more. Section 22 integrates TypeSafe Jev as a typed decision edge in graph engineering.
Community-maintained collection of evidence-backed use cases, patterns, prompts, and starter code for TypeSafe Jev, a System One model for typed, confidence-aware decisions. Covers API/SDK integration, RAG, security guardrails, and function calling.
A community-curated directory of TypeSafe's Jev / System One model resources, including official SDKs, live demos, agent tools, independent evaluations, and developer guides.
A curated list of tools built for Jev, TypeSafe AI's System One model for typed decisions.
05 / MOST VIEWED
Ranked by views among the posts in this curated index.
TypeSafe founder Diogo Almeida introduces Jev, its RLCD training method, and its focus on software decisions. The post includes a 2:56 launch video.
A user shares JEV processing 100 fictional interview minutes: sorting Pass/Hold/Pass, scoring skills, communication and motivation, and flagging major concerns in 12.8 seconds for $0.005 total.
A user shares an ideal use case for Jev: instant compaction. By scoring every tool call and dropping irrelevant content, Jev can make compaction instant instead of relying on summarization prompts.
Gregor Zunic showcases an open-source browser agent combining Browser Use and Jev, finding flights in 7 seconds for $0.0039, using a new action space per step, DOM state space, and small LLM fallback for typing.
06 / HIGHLIGHTS
Start with verified Jev posts.
Jev launches: a System One model for decisions
Real-time Doom demo powered by Jev
Wikipedia link race: choosing among thousands of options07 / ANSWERS
Direct answers to common developer questions, with clear sources and methodology.
Jev is TypeSafe’s flagship model and its first System One model. Applications send state and typed questions, and Jev returns structured answers that code can use directly.
The indexed examples span software development, workflow automation, knowledge search, data analytics, customer support, finance, gaming, and more.
Candidates come from public X search results. We check that each post is directly related to the Jev model and contains an image or video, then add editorial titles, summaries, categories, and translations.
Every card links to its original X post. Product facts also reference TypeSafe’s official website. Engagement numbers are snapshots captured during collection.
No. Jev Guide is an independent, open source community index. Posts and media belong to their original authors.
OPEN SOURCE
Star the repository to follow new Jev showcases and improvements.