tiny-bouncer
radupopescu/tiny-bouncer
A Classifier for AI Agent Shell Commands, Powered by Decision Models or LLMs
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View cited sourceradupopescu/tiny-bouncer
A Classifier for AI Agent Shell Commands, Powered by Decision Models or LLMs
No inclusion rationale available yet
View cited sourceTeach your coding agent to stop burning context. Jev (System One) via OpenRouter or TypeSafe: 325ms, 0.000013 USD per decision. A/B tested 99.3% fewer input tokens with accuracy up. Ships a reversible reduce and a ledger that learns when Jev pays off.
Shared topics: agentic-ai, classification
Jev MCP server: a decision layer for coding agents, built on TypeSafe Jev (System One model). Ship gates, risk checks, file triage that keeps files out of context, and a safe headless browser, with calibrated confidence. For Claude Code, Codex, Cursor.
Shared topics: agentic-ai
Bulk decisions for AI agents. Jev classifies files and logs; your agent reviews exceptions. Reproducible cost and quality benchmarks.
Shared topics: classification