Clear positioning
An iPhone local-AI voice mood journal built with Apple MLX and Qwen3.
Local AI mood journal
An iPhone local-AI voice mood journal built with Apple MLX and Qwen3.
Mood Button is positioned as Apple MLX and Qwen3 local AI voice mood journaling.
It currently lives across iPhone / MLX / Qwen3, with public status marked as App Review / Resubmitted after rejection / Local AI. This page keeps the download path, repository, privacy boundary, support contact, and build diary under one domain.
The product direction centers on local voice and local model processing; privacy labels must match the release build.
Each product page is written for users, reviewers, and builders: what it solves, what it does not solve, and what can be reused.
An iPhone local-AI voice mood journal built with Apple MLX and Qwen3.
The product direction centers on local voice and local model processing; privacy labels must match the release build.
Related course hooks include Local AI, Voice journaling, Mood-product boundaries.
This is one of the public-facing capabilities or lessons used to explain Mood Button clearly to users, reviewers, and future readers.
This is one of the public-facing capabilities or lessons used to explain Mood Button clearly to users, reviewers, and future readers.
This is one of the public-facing capabilities or lessons used to explain Mood Button clearly to users, reviewers, and future readers.
This is one of the public-facing capabilities or lessons used to explain Mood Button clearly to users, reviewers, and future readers.
The page should only promise what the current product, review state, and distribution channel can actually support.
The product direction centers on local voice and local model processing; privacy labels must match the release build.
The product page and diary series should help other builders understand the decisions, tradeoffs, launch work, and mistakes behind the result.
The diary records the product from idea, design, implementation, review, launch, operations, and post-release learning.
The product direction centers on local voice and local model processing; privacy labels must match the release build.