typesafe-computer-use

**typesafe-computer-use** (jev for short) drives a Mac toward a goal you type in plain English,
for about a fiftieth of a cent per step. It reads the screen deterministically, asks a small
classifier which action comes next, and only calls a writing model when a text field genuinely
needs free text or the classifier has stopped and the screen needs reading.

One idea runs through it: the classifier picks, code decides facts, and the writer only writes
free text. Anything a model would have to work out (a date, whether a field is focused, whether
a URL is clean) is computed in code and handed over as state. [VISION.md](VISION.md) says what
it is for in a dozen lines.

```
clicker "go to techcrunch and take me to the checkout page for the cheapest tickets to their next upcoming event" --act
```

> **Beta.** This is under heavy development. Expect rough edges, and expect settings and
> behavior to change between 0.x [releases](https://github.com/awlevin/typesafe-computer-use/releases).
> It drives your real mouse and keyboard, so start with a dry run.

## Why a classifier

Frontier-model computer use is capable and expensive: every step ships a screenshot and
waits several seconds for a plan. Most steps do not need a plan. They need one choice
from a short list, made quickly and cheaply, with a confidence number you can gate on.

[TypeSafe](https://docs.typesafe.ai) sells exactly that: a decision model that answers
a `Choice` over up to 255 options with a full probability distribution and a calibrated
confidence, in a few hundred milliseconds, with free output tokens. This project is a
computer-use loop built around it.

Measured on the same screenshot and goal, one decision each:

| | typesafe (jev) | Claude Opus 5, bare screenshot | multiplier |
|---|---|---|---|
| input