A chat bot that uses Jev to pick which tool to call, such as web search, Wikipedia, weather, Todoist or Home Assistant, and what arguments to pass, with no general-purpose LLM in the loop.
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CJ from Coding Garden built a chat bot with no LLM at all. It is hooked up to web search, Wikipedia, weather, Todoist, and Home Assistant. For each prompt, Jev decides which tool to call and what arguments to use.
CJ reports that responses are instant, that there are no hallucinations, and that the answers cite their sources.
Browser Use's fast browser agent where Jev picks the operation and the DOM element in a single request; a small LLM is only invoked to write text when typing is required. Demoed on a Google Flights search.
19k starsFlight search 7.1 s
Official agent skill for Claude Code, Codex and other agent environments; installs via claude plugin marketplace add typesafe-ai/skills or npx skills add typesafe-ai/skills. MIT licensed.
MCP server that gives Claude Code, Codex, Amp, OpenCode and other agents ten Jev judgment tools, each returning typed probabilities they can branch on. The author calls it early software.
320 starsPer call 150-500 ms
Rust desktop automation that reads apps through the OS accessibility tree instead of pixels. Its jev-desktop skill takes a plain-language goal and has Jev pick one operation and one target element per turn, so the 150-element tree never enters the agent's context.
1.6k starsToken reduction 78-96%
macOS computer-use loop that OCRs the screen, classifies the next action with Jev, then clicks. Author reports roughly $0.0002 per step.
Aaron Levin (awlevin)Opentypesafe-computer-use on github.com935 starsCost/decision $0.0002, 155xLatency 0.13-0.38s
A macOS menu bar companion with two modes: type a task and Jev picks what to click from a local OmniParser running on CoreML, looping for up to 12 actions, or talk to Gemini Live, which takes one desktop action per turn.
Milind S (@milindlabs)Openmilind-soni/tiptour-macos on github.com662 starsAction limit 12 actions
