Speed up computer use agents by skipping a screenshot after every action
A developer built arc-cua, an open-source computer use layer driven by fast decision models instead of a screenshot plus an LLM call after every click. It supports the Jev and OpenAI decisions APIs.
Source
@sxhivs on X · 2026-10-08
Written in our own words. Credit to the original author. Link checked 2026-10-21.
What they did
A developer built arc-cua, an open-source computer use layer driven by fast decision models instead of a screenshot plus an LLM call after every click. It supports the Jev and OpenAI decisions APIs.
Result (as claimed)
Released as open source (198 likes); fewer model calls per action make desktop automation faster.
Tools they used
Cost: Pricing depends on the tools you pick; check each official pricing page.
Set it up
Pick a contained repo or task
Start on a branch or side project where mistakes are cheap.
Install and configure
Set up Python. Read what it can run on your machine and limit permissions where possible.
Run it on a real task
Give it a well-scoped issue and let it work. Review the diff like any pull request.
Add guardrails
Keep tests and CI in the loop, and never let an agent push to main or touch production secrets unattended.
Copy the full setup prompt
Paste into your agent and it will walk you through the setup, asking before anything that sends, posts or spends.
You are helping me set up this AI use case end to end in Claude Code. Goal: Speed up computer use agents by skipping a screenshot after every action What the original author did: A developer built arc-cua, an open-source computer use layer driven by fast decision models instead of a screenshot plus an LLM call after every click. It supports the Jev and OpenAI decisions APIs. Reported result (as claimed by the author): Released as open source (198 likes); fewer model calls per action make desktop automation faster. Source: https://x.com/sxhivs/status/2108239774893138358 Tools they used: Python Category: Dev & ops Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
You are helping me set up this AI use case end to end in Codex. Goal: Speed up computer use agents by skipping a screenshot after every action What the original author did: A developer built arc-cua, an open-source computer use layer driven by fast decision models instead of a screenshot plus an LLM call after every click. It supports the Jev and OpenAI decisions APIs. Reported result (as claimed by the author): Released as open source (198 likes); fewer model calls per action make desktop automation faster. Source: https://x.com/sxhivs/status/2108239774893138358 Tools they used: Python Category: Dev & ops Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
You are helping me set up this AI use case end to end in Grok Bot. Goal: Speed up computer use agents by skipping a screenshot after every action What the original author did: A developer built arc-cua, an open-source computer use layer driven by fast decision models instead of a screenshot plus an LLM call after every click. It supports the Jev and OpenAI decisions APIs. Reported result (as claimed by the author): Released as open source (198 likes); fewer model calls per action make desktop automation faster. Source: https://x.com/sxhivs/status/2108239774893138358 Tools they used: Python Category: Dev & ops Please: 1. Ask me 3 short questions about my situation (accounts I have, budget, what I want the output to look like). 2. Propose a step-by-step plan using these tools or cheaper alternatives, with the time and cost of each step. Use official pricing pages; say "check pricing" if unsure. 3. Then do the setup with me one step at a time, waiting for my OK before anything that sends messages, posts publicly, spends money or deletes data. 4. Finish with a checklist to run it again next time.
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Guides for this use case
How to let AI control your computer (computer use) ยท How to run multiple coding agents together
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