Jev Plays Tetris Against Fable and Astra
HK had Jev play Tetris against Fable and Astra to showcase its usability for frequent, schema-bounded decisions answerable from the provided state, where consistency beats depth.
HK@hiteshkar𝕏
Made Jev play against Fable and Astra in Tetris to showcase its usability Where it wins. Decisions that are frequent, bounded to a schema, answerable from the state you hand it, and where consistency beats depth Here are some examples - Gates and routers: should this alert fire, which pipeline gets this document, does this need the expensive model. The firehose gets judged in full instead of sampl
The post gives alert firing, document routing, and deciding whether to use an expensive model as examples. It says the firehose gets judged in full instead of sampled.
Also filed under Triage & routing
- Jev-Assisted Codex Model and Effort Routing
The project provides Jev-assisted model and reasoning-effort routing for local Codex Desktop and CLI.
- Plain-English Gmail Filter Judge
The project uses Jev (TypeSafe) to judge Gmail filters written in plain English.
- Framework-Agnostic Jev Intent and Tool Router
Huzeyfe_dev built a lightweight, framework-agnostic intent and tool router using TypeSafe’s Jev decision model to speed up agent loops.
- MCP Tool Router with Jev and MCTS
Harness-router is a lightweight tool router that uses Jev for fast tool selection and Monte Carlo Tree Search for harder multi-step decisions. It uses MCP as the tool interface and falls back when routing is uncertain.