Jev AI Full COURSE 1 HOUR (Build & Automate Anything)
Get the Agent OS & Jev AI Masterclass 👉 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 Full Course: Build Faster, Cheaper AI Agents (10 Use Cases + Voice Browser & Token Savings) This episode is a step-by-step course on Jev AI (J-E-V), a “System One” decision model from TypeSafe AI that doesn’t write, but rapidly picks from allowed answers and returns confidence scores, with claims of being 20–200x faster and 40–400x cheaper than typical models. It explains Jev’s three question types (choice, score, null), batching many decisions in one request, and why confidence enables safer automation and escalation. The script covers how to access Jev (free until Sept 25, then via OpenRouter API), examples like paper categorization, email sorting, lead scoring with mismatch flagging, internal linking across 586 pages, browser agents finding flights, model routing and tool-use safety checks via LangChain, context reduction from ~1M to 86K tokens, and demos including a real-time voice-driven “mirror” app and an open-source Jev Voice Browser using Chrome speech tools, Jev decisions, and Playwright. 00:00 Course Overview 02:00 What Jev Is 04:35 Decision Types 06:27 Early Build Examples 08:59 Internal Linking Case 10:58 Two Key Features 12:51 Context Compaction Debate 14:10 Limits and Pricing 16:14 Why It Matters 19:28 Real Time App Demo 22:14 Build the App Steps 28:15 Voice Browser Project 29:59 How Voice Browser Works 32:50 Speed Benchmarks 33:24 Instant Decision Gap 33:53 Search by Voice Demos 34:43 Pointing Prevents Hallucinations 35:16 Boardroom Offer Pitch 36:03 How Voice Browser Clicks 36:27 Snapshot Labels Confidence 37:18 Install Jev Voice Browser 37:46 Wrap Up and Next Video 38:30 Ten Use Cases Overview 39:22 System One Model Explained 41:07 Use Case 1 Inbox Sorting 41:57 Use Case 2 Keyword Intent 43:12 Use Case 3 Lead Scoring 44:10 Use Case 4 Auto Linking 45:50 Boardroom Community Plug 46:40 Use Case 5 Publish Traffic Light 47:45 Use Case 6 Model Router 48:59 Use Case 7 Context Meter 50:10 Use Case 8 Competitor Monitor 50:46 Use Case 9 Talk to Browser 51:41 Use Case 10 Task Board 52:50 What Changed Summary 53:48 Final Boardroom CTA 54:43 Ten Builds Closing 54:59 Stop Wasting Tokens 55:46 Tokens Explained 56:07 Why Chats Get Expensive 56:58 Big Models Waste Tokens 57:25 What Jev Is 58:43 Outfit Race Benchmark 59:50 Voice Browser and Email Speed 01:00:55 Forum Training Plug 01:01:19 Three Step Implementation 01:03:19 Costs and Confidence Limits 01:04:06 Final Thoughts and Outro
