Part IV: Full-Stack AI Applications [chapter] deterministic

Okay, let's plan the structure of the chapter. I need to cover the three objectives: building AI backends with Django REST Framework, integrating Ollama with Django, and implementing async AI processing. I'll start with an introduction that ties Django to AI, then move into setting up Django, creating models, serializers, and views for AI backends. I'll include code snippets for models and serializers. Next, I'll integrate Ollama, showing how to call the Ollama API from Django views, handling responses, and storing results. I'll also touch on async processing, using Django's async capabilities or Celery for background tasks. I'll add a section on testing and best practices. I need to make sure I use the glossary terms appropriately, like REPL environment for interactive testing, organization for structure, personalization for AI features, prompt design for prompting Ollama, and JWT for authentication. I'll include code examples adapted from the source, but since there are none, I'll create original ones. I'll keep the tone instructional, clear, and concise. I'll aim for around 2500 words. Let's start drafting the content. <>markdown