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API & Models

Playground

The browser workbench for pasting state and typed questions and inspecting answers, probabilities, confidence, latency, and usage.

Category
API & Models
Also known as
—
Related terms
4
Directory entries
32
Docs
console.typesafe.ai
Added
2026-09-24

Definition

The playground runs System One queries in the browser so you can try decisions before wiring up code. It shows the numbers needed to set act-or-escalate thresholds: probabilities, confidence, latency, and token usage.

Docs examples also carry share links that open the same request in the playground, which makes reproducing a cookbook configuration a click away.

Tagstoolsplayground

From the directory

Browser playground in the TypeSafe console for trying System One: paste state, define typed questions, and inspect answers with probabilities, confidence, latency, and usage.
Cookbooks & DemosPlayground#official#playground#demos
Official
Get an API key, manage models, and try the playground: three walkthrough lessons plus realistic use cases like resume screening and ticket routing.
Tools & IntegrationsPlayground#official#playground#api-keys
Official
Two browser games against a live Jev opponent: a first-person quick-scope arena and a neon survival challenge, where Jev picks tactics and authored code handles movement and physics.
Cookbooks & DemosPlayground#community#playground#games
Community
Four board games against Jev where the model picks the move and code keeps the rules: tic-tac-toe, Connect Four, Battleship, and Wordle.
Cookbooks & DemosPlayground#community#playground#games
Community
An autonomous Pac-Man recreation steered by Jev: before each junction the game sends the maze, actors, and legal directions as structured data, and Jev returns one direction with a probability per option.
Cookbooks & DemosPlayground#community#playground#games
Community
A playable Tetris where you can drop pieces yourself or let the TypeSafe Choice primitive pick every move.
Cookbooks & DemosPlayground#community#playground#games
Community

26 more matching entries in the full directory.

From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

A local Jev build with room to get faster

jev-review: a local-first score loop for coding agents

built `jev-review` @typesafeai it's an experimental, local-first MCP plugin that gives coding agents a score quality feedback loop across different metrics. agents call jev while they work, get scored, make improvements, and repeat the loop try below 👇

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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The X algorithm, rebuilt with Jev

Hard-coded rules moved to Jev

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