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Courses/AI Router and content system/Map of a useful AI Router

Map of a useful AI Router

An AI Router is not a model list. It is a decision layer that chooses route, budget, privacy, and verification for each task.

The problem it solves

When you have local models, frontier APIs, long tasks, private content, and limited budgets, always calling the same model is poor architecture. A router chooses the path before spending tokens or exposing data.

Minimum layers

  • Task classifier: code, summary, translation, RAG, reasoning, extraction, or creative generation.
  • Privacy policy: what data may leave and what must stay local.
  • Budget: maximum cost per user, task, course, or pipeline.
  • Fallbacks: what to do when a model fails, latency rises, or quality drops.
  • Observability: traces, scores, selected model, cost, latency, and routing reason.
Terminal
request -> classify -> policy -> route -> model -> score -> log -> improve

Aulafy rule

The router must explain why it chose a route. If you cannot audit the decision, you do not know whether you are saving money, protecting privacy, or silently making content worse.

Complete Aulafy mapSee how this lesson fits without leaving your path.

Complete Aulafy map

How all courses connect

This is not a checklist. Start with the foundation, choose an outcome, and go deeper only when your project needs more control.

  1. 1Understand
  2. 2Apply or build
  3. 3Operate with confidence
01

Choose an application

Turn the foundation into a visible outcome: a website, a business improvement, media, or an interactive experience.

Continue into the technical branch when you need to maintain code, data, or infrastructure.

02

Build with code

Prepare your environment, work with coding agents, and run models while keeping control of your projects.

This branch prepares you to design and operate reliable AI systems.

03

Take systems to production

Combine retrieval, agents, evaluation, security, deployment, and model adaptation when the problem requires it.

You do not need every course: choose the component your system needs and return as it grows.

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