Local app · NOTE4
Collect AI news daily, read summaries and listen to briefs on NOTE4, and revisit past content saved on your computer.
Install & use
AI checks Hub on your computer first: reuse a compatible installation; otherwise source access is required before building for your system. Hub has not been officially released and only needs to be installed once for all apps.
Build for your system · Compatible Hub · Optional local Codex, Ollama and speech environment
Use the device SDK matching the NOTE4 firmware. The current reference environment is an Apple Silicon Mac. Other systems need source-level adaptation and verification; changing the build target alone does not establish support.
Hub has not been officially released; its repository and bundled device SDK are private. Reuse a compatible Hub if available. Initial installation requires access to the relevant source.
Ask AI to identify the OS and processor architecture and reuse a compatible Hub. If missing, first confirm access to Hub and matching SDK source, then build for this system; without access, pause device installation. Check SDK and NOTE4 firmware compatibility and preserve existing apps and data. Reading can be set up before speech; the device must enter local push mode.
Ask AI to obtain the public source, build for this system and connect to Hub. Check scheduled tasks, file paths and the chosen summarization tool. If you want read-aloud, configure a speech backend suitable for your system.
Set refresh time, language and sources. Use a signed-in local Codex or Ollama to organize content; without a model, retain source summaries. Check reading and page turns before optionally configuring read-aloud.
Paste into Codex or another local AI on your computer. AI checks the system, reuses or builds the connection helper, then prepares the app from source. Hub and SDK source are private; initial installation requires access.
Help me install and verify AI Daily on my computer. Project repository: https://github.com/itopinion/zectrix-ai-daily Installation guide: https://github.com/itopinion/zectrix-ai-daily/blob/main/README.md Site review date: 2026-10-17; reference commit: 8730df63ca0596d7d8530ad740419e7717eb0dec. Recheck the current version before execution. Project requirements: Build for your system · Compatible Hub · Optional local Codex, Ollama and speech environment Distribution status: Build from source · Adapt for your system The app source is public. Hub has not been officially released; its repository and bundled device SDK remain private. Common device SDK source: https://github.com/itopinion/zectrix-hub/tree/main/crates/zectrix-cards/vendor/sdk (currently in a private repository; access required). Cross-platform guide: https://github.com/itopinion/zectrix-hub/blob/main/docs/PORTING.md. Check compatibility between the current SDK and device firmware; do not blindly use versions from old documentation. Identify the operating system, processor architecture and build toolchain first. Build from project source and the matching SDK for this system; do not download or distribute prebuilt Mac app packages. Create an isolated runtime for Python projects on the target system. Prepare the shared connection helper first, then install the app: 1. Check whether ZECTRIX Hub (https://github.com/itopinion/zectrix-hub) is already installed, including its running status, version and app interfaces. Reuse a compatible installation; do not reinstall, overwrite existing apps, settings or data, or open a competing device connection. 2. If Hub is missing, first confirm access to Hub and matching SDK source. Hub has not been officially released and its repository is private. Without access, explain the unavailable dependency and pause device installation. Do not request tokens in chat or change repository visibility. 3. If Hub exists but is incompatible, explain the differences and upgrade plan first and preserve existing data. Check the exact compatibility between Hub's bundled SDK and device firmware. Do not infer compatibility solely from an old README's minimum version, or automatically flash or replace firmware. NOTE4C is outside this app's scope. 4. Put NOTE4 and the computer on the same LAN and enter local push mode. Let Hub discover and select the device and hold the connection. This flow does not require a ZECTRIX Cloud API Key or manually entering a MAC first. Installation and usage steps for this project: 1. Check the system and connection helper: Ask AI to identify the OS and processor architecture and reuse a compatible Hub. If missing, first confirm access to Hub and matching SDK source, then build for this system; without access, pause device installation. Check SDK and NOTE4 firmware compatibility and preserve existing apps and data. Reading can be set up before speech; the device must enter local push mode. 2. Build AI Daily from source: ask AI to obtain the public source, build for this system and connect it to Hub. Check scheduled tasks, file paths and the chosen summarization tool. If you want read-aloud, configure a speech backend suitable for your system. 3. Choose sources and summarization: set refresh time, language and sources. Use a signed-in local Codex or Ollama to organize content; without a model, retain source summaries. Check reading and page turns before optionally configuring read-aloud. The app works through Hub Runtime API. The connection layer uses the device SDK; downloading the SDK alone does not replace Hub. Check platform-specific paths, process management, build dependencies and speech backends, adapting as needed. Successful compilation does not verify cross-platform functionality. First verification: Fetch and display a real brief with sources and a date, checking list, detail and back navigation. Report read-aloud success only after the speech environment is ready and the device actually plays audio. Report program startup, image generation, device reception and physical-screen verification separately. Do not treat successful simulation as real-device verification. Explain installation location, how to restart and stop, and limits when the computer or network disconnects. Keep keys, Hub credentials, accounts and personal data in local configuration only, never shared tasks or logs. If this AI has no local execution environment, provide reviewable local installation steps first; do not claim installation is complete.
Fetch and display a real brief with sources and a date, checking list, detail and back navigation. Report read-aloud success only after the speech environment is ready and the device actually plays audio.
Repository documentation checked · Installation and physical-device push not verified in this review. Copying the task does not install anything automatically.
No. You can use original source summaries or a signed-in local Codex; Ollama is optional. Automatic translation of full articles is not promised without a model.
Reading and page turning work. Read-aloud requires a compatible local speech component configured separately. Successful reading does not prove speech works.
Copy the installation task to your local AI. It builds and installs using the project source, matching SDK and system environment. On Windows, Linux and other systems, check runtime and speech dependencies and verify each feature before enabling it.
Generate Chinese or English glass-style weather cards with temperature, feels-like temperature and a three-day forecast. The current version previews and exports images on your computer first.
Local image generation · Image generation · Push integration pending
Practice vocabulary by textbook and unit: view hints, spell letters and read words on NOTE4, then listen to model pronunciation.
Hub local app · Build from source · Adapt for your system
Let a pixel companion on your desk follow Codex tasks: working, waiting for attention, completed or failed, all at a glance.
Hub local app · Build from source · Adapt for your system