▲ 4 r/localaiapps
Local AI apps still feel like they are built for people who already know local AI
Most local AI apps say they are easy to use, but they still assume the user already understands the space.
You are expected to know what a 7B model is, what GGUF means, why quantization matters, why one model is slow, and why the same prompt gives totally different results across models.
That is fine for technical users, but it makes local AI hard for normal people.
I think the missing layer is not another model runner. It is a product layer that explains tradeoffs in plain language.
Do you think local AI apps should hide most of this complexity, or is that complexity just part of using local AI?
u/Zestyclose-Ear-6225 — 10 days ago