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INSANE how most AI agents still send every task to Claude Code. Jev routes the easy work to cheaper workers, saves the expensive reasoning for what actually matters, and makes the whole system literally faster. This is how you build agents that scale. Follow CyrilXBT for more AI updates.

CyrilXBT

196,979 subscribers

17,849 次观看 • 6 天前 •via X (Twitter)

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17 条评论

Harley Lewis Foote 的头像

Harley Lewis Foote6 天前

Jev's got the right idea. Most people just burn credits on stuff a regex could handle.

CyrilXBT 的头像

CyrilXBT6 天前

I guess i need to create a guide on how to not burn credits

Hussain Hashim | Building SundayBack 的头像

Hussain Hashim | Building SundayBack6 天前

@cyrilXBT real key is knowing when to blend tasks. route the middle ground work smartly to optimize costs.

Wallchain Community Hub 的头像

Wallchain Community Hub6 天前

routing simple tasks saves so much time and money

magsimich 的头像

magsimich6 天前

Cheap routing changes everything

CyrilXBT 的头像

CyrilXBT6 天前

i agree

安叫兽|Bird🕊️ 🔶 BNB 的头像

安叫兽|Bird🕊️ 🔶 BNB6 天前

就怕分活儿的想半天，比干活儿还费劲

TGT Analytics 的头像

TGT Analytics6 天前

This is the routing thesis in one post. One measured data point: a verification-gated cascade matched frontier quality at 69% lower cost ($0.89 vs $2.90), escalating only the hard cases. What is your escalation trigger, confidence score or verifier vote?

ROI of AI 的头像

ROI of AI6 天前

New gem

Brian Hadu 的头像

Brian Hadu6 天前

how do you determine which tasks Jev routes to cheaper workers?

Andrew Watt 的头像

Andrew Watt6 天前

Jev is genuinely nasty

Gregor 的头像

Gregor6 天前

misclassification rate is the real cost. spent a week chasing silent failures after routing 'simple' queries to a cheaper model. it was confidently wrong on the exact edge cases the router called easy

Sael 的头像

Sael6 天前

most people just love paying the ai tax until they break

Adar 的头像

Adar6 天前

Routing every task to the strongest model is usually just paying premium prices for work that never needed premium reasoning

Kai Lennox 的头像

Kai Lennox6 天前

the expensive model only for what matters is where the savings live

Brjan | AI Builder 的头像

Brjan | AI Builder6 天前

routing tasks efficiently could drastically cut costs while boosting performance

moose sam 的头像

moose sam6 天前

most workflows are 80% simple transforms and 20% actual reasoning, why pay premium rates for the whole thing

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This is literally how Jev makes AI agents dramatically cheaper. It filters the noise from Slack, GitHub, documents, memory, and the web then sends Claude Code only the context it actually needs. Fewer tokens. Faster decisions. Lower costs. The context firewall is insane:

This is literally how Jev makes AI agents dramatically cheaper. It filters the noise from Slack, GitHub, documents, memory, and the web then sends Claude Code only the context it actually needs. Fewer tokens. Faster decisions. Lower costs. The context firewall is insane:

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15,532 次观看 • 8 天前

Ok this is actually insane. Everyone building agents right now is doing the same expensive mistake. They let the model decide LITERALLY everything. Every check. Every gate. Every "should this proceed." All routed through the same $50/M model that's supposed to be doing the hard thinking. That's not intelligence. That's just burning money to ask yes or no questions. Here's what Jev Engineering actually does: request → structured state → Jev router → cheapest capable model → worker → approval check → execution gate → tool The decision layer doesn't write a single word. It routes. Scores. Blocks. Approves. That's it. The expensive model only gets touched when the task LITERALLY requires reasoning. Everything else gets handled by something that costs almost nothing and responds in milliseconds. 193x faster. 444x cheaper. Not projected. Measured. Most people are going to keep paying frontier prices to ask their agent "yes or no" for another year before they figure this out. Full breakdown below, this is the unlock nobody's talking about yet. Follow CyrilXBT, I'm not gatekeeping this one.

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122,121 次观看 • 1 个月前

ANDREW NG REPORTEDLY SAID 100% OF HIS TASKS NOW RUN THROUGH AI AGENTS. The hype actually passed his expectations. His next call. Loops are the next step. In 3 to 6 months everyone will be using self-improving loops. Prompting alone is a 30 minute talk he reportedly breaks down how to build self-improving agentic systems from scratch. Agent loops. Feedback. Memory. Self-improvement.Worth more than most $500 agentic courses. Bookmark this. Follow CyrilXBT

ANDREW NG REPORTEDLY SAID 100% OF HIS TASKS NOW RUN THROUGH AI AGENTS. The hype actually passed his expectations. His next call. Loops are the next step. In 3 to 6 months everyone will be using self-improving loops. Prompting alone is a 30 minute talk he reportedly breaks down how to build self-improving agentic systems from scratch. Agent loops. Feedback. Memory. Self-improvement.Worth more than most $500 agentic courses. Bookmark this. Follow CyrilXBT

CyrilXBT

18,056 次观看 • 3 个月前

We've raised $7M to help companies build AI agents that actually learn and work. Osmosis (YC W25) is a platform for companies to fine-tune models that outperform foundation models with reinforcement learning. Better, faster, and cheaper.

We've raised $7M to help companies build AI agents that actually learn and work. Osmosis (YC W25) is a platform for companies to fine-tune models that outperform foundation models with reinforcement learning. Better, faster, and cheaper.

Kasey Zhang

1,217,244 次观看 • 11 个月前