I've seen a lot of folks ask "can local LLMs actually do anything useful?"

And I'm here to share my experience. The answer is resoundingly 'yes'. Let me start with the local model I use every day in my AI harness: embedding models. I'm using an embedding model to give my AI's persistent memory system a semantic search protocol that makes its memory recall feel seamless to the human user. Now my recent use case: Lately, I have been trying new applications for Qwen3.6-35B-A3B. I have been experimenting with a flow where Qwen evaluates a database based on criteria I give it on a regular weekly interval.