
Stop coding AI routes. Treat your AI like a new hire to slash costs.
Julian Goldie Agency4 October 2026Watch on YouTube
Part of series
Ep. 19 · Jev AI: 200x Snellere Agents
Verkenning van Jev AI, het routeringsmodel dat AI-agents radicaal sneller en goedkoper maakt via System 1-besluitvorming.
View the seriesWhat you'll learn
- Traditional model routing often fails because it relies on complex code.
- A middleware approach assigns tasks to models through job descriptions in plain English.
- You describe roles for your models instead of coding rigid decision trees.
- Tasks are automatically routed to the most cost-effective model without sacrificing performance.
- This approach makes AI systems more robust and significantly cheaper to run.
Frequently asked questions
Why does traditional model routing often fail according to the video?
How are tasks assigned to models in the proposed approach?
What does this middleware approach deliver for cost and performance?
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Description from the channel
Want to make money and save time with AI? Join here: https://www.skool.com/ai-profit-lab-7462/about Traditional model routing often fails because it relies on complex code. The latest approach involves using middleware to create job descriptions for your models. By assigning tasks based on plain English criteria—like a new hire—instead of rigid decision trees, you can automatically route tasks to the most cost-effective model without sacrificing performance. This shift from coding logic to describing roles makes AI systems more robust and significantly cheaper to run. #JevAI #AIAutomation #LLM #Langchain #TechTips