Jev AI Just Changed AI Agents Forever
Get the Agent OS & Jev AI Masterclass π https://www.skool.com/ai-profit-lab-7462/about Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Get a FREE AI Automation Strategy Session: https://juliangoldieaiautomation.com/ Get a FREE AI SEO Strategy Session: https://go.juliangoldie.com/strategy-session?utm=julian Jev AI: The Decision Model That Makes Agents 20β200x Faster (and 40β400x Cheaper) Jev (J-E-V), a new βsystem oneβ decision model released by Diogo Almeida at TypeSafe AI, claimed to be 20β200x faster and 40β400x cheaper than normal models, and shown reducing an agent session from nearly 1M tokens to 86K when used with Claude Code. Jev doesnβt write; it makes fast decisionsβchoice, score, and yes/no (βnullβ)βand returns probabilities so agents can automate above a confidence threshold and escalate below it, with many questions answered in parallel. Early public builds include categorizing 1,018 papers for $0.08, sorting 500 emails for $0.035, scoring 700 leads for $0.09, a browser agent finding flights in 7 seconds under $0.005, and rebuilding internal links across 586 pages in 45.1 seconds for $0.21. It highlights integrations for model routing and tool-use safety checks, discusses context trimming benefits and risks, and promotes the AI Profit Boardroom for deploying these workflows. 00:00 Jev Breakthrough Intro 00:58 What Jev Actually Is 01:26 System One Decisions 02:29 Three Question Types 03:33 Confidence And Batching 04:23 Early Builds And Results 05:59 Browser Agent Case Study 07:03 SEO Internal Linking Win 08:14 Using It Without Code 09:02 Routing And Safety Guardrails 10:55 Context Trimming Debate 12:14 Limits Pricing And Prompting 14:18 What Changed And Next Steps 15:25 Reality Check And Conclusion