Use costly AI once to make guides for cheaper models
means using a stronger AI model first to create detailed skills, planning templates, and operating documents. A cheaper model then follows those materials during later work. The goal is to avoid calling the expensive model every time while still giving the cheaper model a better way to think and act.
The example frames this as passing expert guidance from a more capable model to a lower-cost model. The workflow is aimed at quality control, token saving, context and memory handling, debugging, , skills, and work.
Key points
- A stronger model creates s, templates, and operating documents.
- A cheaper model uses those materials to perform later tasks.
- The aim is to reduce repeated expensive without losing too much quality.
- The workflow connects to token saving, context and memory, debugging, and s.
- The real value depends on whether the guide is short, clear, and tested.