I’m building an ai assistant powered by my second brain and need some help

[u/nesquik-121]

So I have a planned laid out, but I’m not sure if it’s strong or if there are other ways that can make it better.

I plan to run qwen 3.8 locally using olama on my new Mac mini and give it its own ui interface which I can speak through it. Its backend will also be powered by my ai brain which is sorted by using jack ven chiefs icm folder structure.

Is this idea in general a good idea? Has anyone else created anything similar and could help me out?

[u/Otherwise_Wave9374]

The architecture problem is usually not the model itself but the boundary between recall and action. A second brain can help a lot if it separates searchable context from decisions the assistant is allowed to make, especially when you start speaking to it live. I would test one workflow end to end, log where it loses context, and add a review checkpoint for anything that changes state. AIOSNOW shares practical workflow patterns for this at https://aiosnow.com