AI tools analyst | Code & Consciousness | @zscdao

San Diego, CA
rody retweeted
It is becoming f*cking dangerous A 27-year-old dev from China just ran 300 Grok agents in parallel and hooked them to a Jev verification layer so none of them could bullshit him He opens the live dashboard: - 300 agents writing and checking at the same time - Every output verified against the source in ~100 ms - Three passes over 100 company profiles → zero errors left - Everything dumped straight into an Obsidian vault The trick is the split: one model does the work, a cheaper one decides if the claim is actually true. The loop doesn’t stop until everything checks out An analyst team would bill weeks for this. He got it in one run Jev + Grok Bots swarm setup that keeps circulating. Bookmark the full breakdown below:
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rody retweeted
I genuinely don't understand why every developer isn't doing this yet. Elon Musk's Grok Bot can run your entire workflow like a $100,000/month software agency. here's the exact setup (takes 15 minutes): 1. install GrokBot (@bot) and make it your Head of Product 2. give it the guide below with all workflows and prompts 3. give it access to your APIs, IDE and tools you are done. thank me later.
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rody retweeted
Jev + Grok Bot... i can't understand why everyone isn't wiring this up yet the forks alone drop from about $110 a day to $4 once jev takes them over. right now it's the best way i know to run grok what jev handles: -> scores which project notes matter before the context even loads -> hands the easy steps to a faster worker -> picks a recovery path when a tool fails, so nothing retries blind -> runs the focused checks before the full test suite Grok does the hard reasoning. jev chooses from options the harness already prepared and validated that's jev engineering in one line: the expensive model thinks, the cheap one decides Ckeck out the full guide on Jev in the article below ↓ ↓
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rody retweeted
call me insane but.. i will keep saying that: grok bot + jev is going to create more millionaires in 2026 than crypto ever did. idea → grokbot → jev decisions → grokbot execution → $$$$$ don’t scroll past this if it hits your timeline. just feed this entire thing into grok bot. thank me later.
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REA, an open-source repository, allows Claude Code to analyze any application on your device all the way down to the binary level What it has already reconstructed: > an authenticator application, with all 133 tests passing > a Touhou game, with 696 out of 697 functions matching perfectly, completed in roughly 12 days > a sound function from a game released in 1996, rewritten in C and successfully passing 3,205 original test cases. - How to start using it: > install REA into Claude Code using a single setup command > inquire about how a feature operates in an application you use daily > have it draft a specification, then create your own version based on that. After just one evening with REA, your perspective on subscriptions will change completely Full guide is in the article below:
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rody retweeted
call me crazy but.. I will keep saying this… Grok Bot + Jev is going to make more millionaires in 2026 than crypto ever did. prompt → GrokBot → Jev SEO decision → GrokBot action → $$$$$ don’t bookmark this if it shows up on your feed. Just paste this entire thing into Grok Bot. thank me later.
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rody retweeted
I was absolutely shocked by this. The Stanford AI research group has given Claude Code a configuration that mimics a human brain. JEV functions as the quick gut brain. It evaluates everything in mere milliseconds and makes simple choices. Claude is the more methodical brain that engages only for complex problems. The following are the commands that link the two systems: /plugin marketplace add rashedInt32/jev-mcp /plugin install jev@jev-mcp -> Claude receives Jev's tools: classify, score, check. npm install -g @dzhng/jevgrep jg "how are payments retried?" ./my-project -> ask what the code accomplishes and obtain the relevant files. The author recorded approximately a 30% decrease in costs for the same tasks. npx skills add altryne/jevify --skill jevify -> trains your agent to autonomously manage the bulk of yes/no tasks with Jev. > and fast-jev-compaction substitutes Claude Code's summary with Jev's decisions: it discards outdated tool calls while keeping all other content intact. Quicker operations, reduced expenses, and minimal compute wasted. Ensure to save this before your next session.
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rody retweeted
Jev Engineering turns an agent stack into an actual control system and moves the expensive model out of every decision loop. and up to 193x faster and 444x cheaper in tests. the model shouldn’t decide everything. in this setup: request → structured state → Jev router → cheapest capable model → worker → relevance / approval checks → execution gate → tool the important part is that the decision layers don’t generate text. they route → score → block → approve. so expensive models only get called when the task actually needs them. that’s the point of Jev Engineering: separate reasoning from decision-making, then make the decision layer measurable, cheap and fast. full breakdown in the article below ↓
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rody retweeted
Jev Engineering is what turns an agent stack into an actual control system and moves the expensive model out of every decision loop and up to 193x faster and 444x cheaper in tests. the model shouldn’t decide everything. in this setup: request → structured state → Jev router → cheapest capable model → worker → relevance / approval checks → execution gate → tool the important part is that the decision layers don’t generate prose. they route → score → block → approve. so expensive models only get called when the task actually needs them. that’s the point of Jev Engineering: separate reasoning from decision-making, then make the decision layer measurable, cheap and fast. full breakdown in the article below ↓
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Jev + Claude Opus 5.5... i can't understand why everyone isn't wiring this up yet the forks alone drop from about $110 a day to $4 once jev takes them over. right now it's the best way i know to run opus what jev handles: -> scores which project notes matter before the context even loads -> hands the easy steps to a faster worker -> picks a recovery path when a tool fails, so nothing retries blind -> runs the focused checks before the full test suite opus does the hard reasoning. jev chooses from options the harness already prepared and validated that's jev engineering in one line: the expensive model thinks, the cheap one decides Ckeck out the full guide on Jev in the article below ↓ ↓
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Opus 5.5 + Jev combo is extremely powerful. It's literally 200x faster and 400x cheaper than running Opus alone. Send this prompt to Claude, and it will tell you exactly how to set it up:
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Lately, I've been like this
Made with AI
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