Lesson 1517 of 1596
AI Model Routing: Picking the Right Model Per Request Automatically
A router sends each request to the cheapest model that can handle it. Done well, it cuts costs in half.
Creators · Model Families · ~7 min read
The premise
Routers classify requests by complexity and dispatch to the right model — small for easy, big for hard, with fallback on low confidence.
What AI does well here
- Classify intent and route by tier
- Cascade: try cheap first, escalate on failure
- Centralize fallback when a vendor has an outage
- Monitor per-route quality drift
What AI cannot do
- Route well without good classification examples
- Replace eval discipline on every route
- Hide the added latency of classification + cascade
- Save money if every request escalates anyway
Key terms in this lesson
Practice this safely
Use a small project example from your own work. The useful move is to compare the AI's draft against your goal, sources, and constraints before you trust it.
- 1Ask AI to explain routing in plain language, then underline anything that sounds uncertain or too broad.
- 2Give it one detail from "AI Model Routing: Picking the Right Model Per Request Automatically" and ask for two possible next steps plus one reason each step might be wrong.
- 3Check classifier against a trusted source, teacher, adult, expert, or original document before you use it.
End-of-lesson quiz
Check what stuck
10 questions · Score saves to your progress.
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