Jev AI: How to Stop Wasting Claude + GPT-6 Astra Tokens
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 Stop Wasting Claude & GPT-6 Astra Tokens: Cut Token Use Fast with Jev AI This episode explains how to reduce Claude and GPT-6 Astra token usage by offloading “tiny choice” tasks to Jev AI, a small decision model from Typesafe AI released September 15 that selects from allowed answers and returns a confidence score without generating text. It defines tokens, notes that large models reread entire chat histories every message, and shows examples where short prompts triggered huge token reads. The script compares Jev against Claude Haiku, Claude Sonnet 5, and GPT-6 Astra on an outfit-selection workflow, highlighting faster response times and lower cost, and demonstrates similar use cases like voice browser control and email triage. It outlines three implementation steps: identify quiz-like decisions, integrate Jev via API (e.g., through OpenRouter) into agents, and use confidence thresholds to decide when to escalate to a larger model. 00:00 Stop Wasting Tokens 00:47 Tokens Explained Fast 01:08 The Hidden Chat Tax 01:58 Why Big Models Waste 02:25 Meet Jev AI 03:43 Outfit Picker Race 04:57 Real Time Choice Systems 06:20 Three Step Setup 07:57 Confidence Thresholds 08:20 Costs Speed and Wrap Up 09:14 Final Call to Action
