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use cases browser-action-select

Computer use ✦ 88outlineAuthor-reported demo metrics

Browser / computer-use action select

Who: Browser-agent builders. Steps: Deterministic observe (DOM/OCR) → element table → one Jev call Choice operation + target → code executes → small LLM only for free text. Expected effect: lower $/step and latency vs screenshot-to-frontier every turn (author-reported demos, e.g. jev-ultrafast). Caveat: task demos ≠ general reliability; hosted Jev is text-only — vision/OCR is separate.

Source: browser-use/jev-ultrafast ↗ Docs / source ↗
1

Treat this as an outline — adapt state and questions to your data.

2

Implement in code — call System One / Jev; compose answers yourself.

3

Gate on confidence — act, confirm, or escalate before side effects.

Outline sketch

Prompt 
Audience: browser-agent builders.
Steps:
1) Deterministic observe (DOM/OCR) → element table as text state.
2) One Jev call: Choice operation + target.
3) Code executes; small LLM only for free-text fields.
4) Confidence gate before irreversible clicks.
Expected effect: cheaper action loop (author-reported demos).
Caveats: demos ≠ general reliability; hosted Jev is text-only — perception is separate.

Needs access to: typesafe-sdkbrowser-automationocr-optional

Who it's for

Browser-agent builders

Steps / how it's set up

Sources: jev-ultrafast · typesafe-computer-use · awesome-jev-usecases · Browser.

Maintain an element action table including WAIT/BLOCKED. Hosted Jev is text-only — DOM/OCR targeting is a separate layer. Demo flights are author-reported, not general reliability guarantees.

Sources (wave-2 deepen)

Expected effect

Splits decision vs prose: System One for click/select, System Two only for typing.

Unofficial outline for learning. Paraphrased from public docs and tutorials — not a production recipe. Review sources before you automate anything.