x.com
Cartwright on X: Built Cortex, a local MCP server: Claude plans, a fast layer does the clicking.
@CartwrightApp@CartwrightApplisted 1h agoreviewed by JevBuilt Cortex, a local MCP server: Claude plans, a fast layer does the clicking. Same Mac-app task: computer use 23 s → Cortex 0.8 s One action: ~5 s Claude round → 0.25 s, no model 24 tools: browser, Mac apps, GitHub search, safety gate Measured on my Mac. @typesafeai #JEV ❤️ 3 likes on X
- Author
- @CartwrightApp
- Use case
- Agents & Browsers
- Added
- 2026-09-25
- Time
- 23 s
All figures come from the author. Check the source before you quote them.
More in Agents & Browsers
- nicolay on X: Jev is the semantic if in your agent loop.▲ 0x.com
- Ricker on X: Jev Engineering turns a static agent workflow into a graph that can rewrite itse▲ 0x.com
- Coach Shweta Bajaj on X: What stands out to me in the Jev + Grok Bot setup is the division of work:▲ 0x.com
- YZ on X: 使用 #Jev 做了一个填写外链信息的演示。▲ 0x.com
- dealer.eth on X: I LEAKED THE JEV STACK I RUN MY AGENTS ON, IT CAUGHT 11 OF THEM IN ONE NIGHT BEF▲ 0x.com311 ms
- GitHub - harshithsunku/learn-jev-end-to-end: Learn Jev end to end: a free hands-on course. Build 13 AI agent use cases with a fast brain (Je▲ 0github.com
Jev guides for this use case
- Jev in the agent loop: routing, guardrails, contextRouting, tool-call guardrails and context compaction — the three places a decision model earns its keep inside an agent.
- Jev vs LLM: a decision model is not a smaller text modelWhy a decision model and a text model aren't substitutes, where the boundary sits, and the cost math.
- What people actually build with Jev, by use caseAll 21 use cases with live counts from real submissions, plus what each one is actually for.
Bid history
No bids yet — the first one takes this project straight to the spotlight.