What it is
A macOS computer-use loop that drives a Mac toward a plain-English goal. It reads the screen deterministically and asks a small classifier for the next action, avoiding screenshot calls to large models.
How it uses Jev
Each step sends one TypeSafe request with three Choices (four with off-screen controls): kind (click_item, use_browser, type_text, scroll…), item for click_item, site for use_browser, offscreen for press_offscreen. The returned choice becomes a deterministic action, then the loop waits and captures again.
Primitives:choice
Technique worth stealing
Split the decision into mutually exclusive questions so screen noise stays out of the action choice; overlapping options read as doubt.
Try it
uv run clicker "open the Playground" (dry run) or add --act to drive the machine.
Evidence
Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.
- Jev-centricyes0.67
- Shows a System One patternyes0.86
- Handles uncertaintyno0.07
- Measuredunclear0.56
- Runnableyes0.73
- Worth recommendingno0.38
- Model replicaunclear0.56
- Problem scopescore on a 0–2 scale0.79
- About Jevyes0.98
Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.