For advanced users looking to upgrade their local AI from a "chatbot" to a "high-efficiency productivity tool," this guide provides a practical path to help you build an AI workflow with real-world execution capabilities:

1. Environment Deployment: Select a suitable local large model (LLM) for your hardware and complete the installation.
2. Role Definition: Set your professional identity through System Prompt to eliminate the feeling of casual conversation.
3. Capability Expansion: Configure RAG (Retrieval Enhanced Generation) to access a private knowledge base to solve the AI ​​illusion problem.
4. Tool Integration: Connect AI to the local file system and third-party applications via API or plugins.
5. Closed-loop verification: Design a specific set of task instructions to realize the transformation from dialogue to automated delivery.