The author shares their experience setting up local AI models, specifically Qwen 3.5-9B, which runs at 40 tokens per second on a 24GB MacBook Pro. While not as capable as cloud models, it works well for basic coding tasks, research, and planning without internet dependency. Setup involves choosing between tools like Ollama or LM Studio, configuring models, and tweaking settings. The author demonstrates successful examples like fixing Elixir code warnings but notes limitations with complex tasks. Despite requiring more hands-on guidance than advanced models, local models offer benefits like offline capability, no subscription costs, and reduced reliance on big tech companies.