autogen/website/docs/tutorial/what-next.md
# What Next?  Now that you have learned the basics of AutoGen, you can start to build your own agents. Here are some ideas to get you started without going to the advanced topics:  1.  **Chat with LLMs**: In [Human in the Loop](./human-in-the-loop) we covered     the basic human-in-the-loop usage. You can try to hook up different LLMs     using local model servers like     [Ollama](https://github.com/ollama/ollama)     and [LM Studio](https://lmstudio.ai/), and     chat with them using the human-in-the-loop component of your human proxy     agent. 2.  **Prompt Engineering**: In [Code Executors](./code-executors) we     covered the simple two agent scenario using GPT-4 and Python code executor.     To make this scenario work for different LLMs and programming languages, you     probably need to tune the system message of the code writer agent. Same with     other scenarios that we have covered in this tutorial, you can also try to     tune system messages for different LLMs. 3.  **Complex Tasks**: In [ConversationPatterns](./conversation-patterns)     we covered the basic conversation patterns. You can try to find other tasks     that can be decomposed into these patterns, and leverage the code executors     and tools     to make the agents more powerful. 