Nice Dreamz LLC · Humboldt County, CA

A three-node ambient-computing mesh, built on Apple Silicon. Code, curiosity, and the right tools.

"If it takes more than 10 minutes, I automate it. If it needs AI, I build it from scratch."

All three apps have Android ports built and submitted: Song Forge, RealTime AI Cam, and RealTime Space are in review at Google Play (July 2026), with the source already public in each repo's android/ folder. Links land here the day they clear. Same deal: private by default, pay once (or nothing), no subscriptions.

nemotron-omni-mlx — NVIDIA's Nemotron Omni sees, hears, and reasons, but its vision and audio towers had no open runtime for Apple Silicon. So I wrote one. Pure MLX, MIT, 23/23 parity tests against NVIDIA's PyTorch reference. 67.7 tok/s with an image, 147 tok/s with audio, wifi off. Credit to NVIDIA for the open weights and yayr for the 4-bit conversion.

Most of these repos look standalone. They're not. They're one system spread across three machines that talk to each other 24/7:

• 💻 M5 Max MacBook Pro · 128 GB — heavy compute: model inference, video, image, training
• 🖥️ M4 Mac mini · 64 GB — always-on workhorse: autonomous agents, FiaOS web shell, free Claude for the whole mesh
• ☁️ Hostinger VPS — public gateway: HQ Dashboard, the Ohm chat agent, sites, cron

The idea: Apple Silicon is fast enough now that the everyday AI I want doesn't need a cloud subscription. Build local-first, stay useful when the internet goes down. The same stack is airgap-ready, which matters to the law / medical / compliance-sensitive firms I work with through Nice Dreamz LLC.

                          ┌─────────────────────────────┐
                          │   iPhone (iMessage bridge)  │
                          │   ask · send · image · vid  │
                          └────────────┬────────────────┘
                                       │
       ┌───────────────────────────────┼───────────────────────────────┐
       │                               │                               │
┌──────▼──────────┐         ┌──────────▼──────────────┐     ┌──────────▼────────┐
│  M5 Max         │         │   Mac mini (always-on)  │     │  VPS (Hostinger)  │
│  workstation    │◀──SSH──▶│   the workhorse         │◀───▶│   gateway         │
└─────────────────┘         └─────────────────────────┘     └───────────────────┘

Thirteen always-on agents run across those nodes: a GitHub watcher that drafts issue replies with local AI and texts me the draft, a 9am iMessage business briefing, email triage, a Reddit brand watcher, and the trick that powers it all — mini_claude, which lets every agent use my Claude Max plan for $0 per call.

AirGap is my name for the full private-AI build: a complete AI workstation on one Mac, wifi off, nothing leaving the building. It started as a packaged offering; these days I treat it as a capability I keep sharp rather than something I sell. Everything it needs is open source on this page, so any competent IT person can stand one up without me. That's the point.

If your firm handles data that can't touch the cloud and you want one built and your team trained on it, email info@nicedreamzwholesale.com. What it looks like → · Why it matters now →

Sorted by GitHub stars.

Run Claude Code 100% on-device on Apple Silicon. Three models (Gemma 4 31B / Llama 3.3 70B / Qwen 3.5 122B), four modes (code, browser, voice, phone), Anthropic-compatible MLX server, setup.sh picks the right model for your RAM. Your code never leaves your Mac.

MLX Apple Silicon Claude Code Python

Talk to your Mac, hear it reply in your own cloned voice. 100% private, works on a plane, and the Ohm web chat brings the same loop to any browser at zero API cost.

Pocket TTS Apple Silicon Flask

Local MLX models driving Chrome via DevTools Protocol. Handles what other agents can't: cross-origin iframes, Shadow DOM, ProseMirror. 56-second demo →

MLX Chrome DevTools Protocol Local AI

The biggest free open-vocabulary detector that fits on an iPhone: 601 classes, OCR, LiDAR depth, all on-device. The seed of the robot's vision stack.

YOLOv8 CoreML Swift LiDAR

Control Claude Code from your iPhone via iMessage. Commands by text; screenshots, recordings, and YES / NO / YES_TO_ALL approval buttons come back.

iMessage AppleScript macOS Automation

Started with protecting my chickens from predators. Now a 1 kW autonomous tank robot you text from your phone: 601-class vision on a Jetson, dual PTZ cameras, 3D LIDAR, and it pulls a cart of firewood. Actually. The honest goal: a Lego-clip-in modular robotics kit running the same local-AI brain as the desk. VisionBuilder trains its eyes from photos on my phone.

Jetson Orin Nano YOLOv8 Teensy RPLidar Robotics

2,000+ K-4 lessons with a friendly narrator that reads everything aloud. Themes she picks (unicorns, dinosaurs, space, cats, Bluey), difficulty that climbs as she masters skills and gently drops when she struggles, click-only kid-safe interface. Fully offline, one-time $0.99, no ads, no tracking, no internet needed.

iOS Fully Offline Adaptive Learning Kid-Safe

Same prompt, three engines, one MacBook (ds4-three-way). Local beat the cloud on wall-clock time:

Divine Tribe (vaporizer hardware, American-owned since 2013) plus three more stores — 140+ products, 5,000+ units shipped, all automated by the mesh above. Divine Tribe pays the bills; everything else is downstream.

I run Divine Tribe — vaporizer hardware, since 2013. Cinch ships those orders. Everything else is downstream of paying the bills.

Nice Dreamz LLC is the umbrella on top. AirGap AI is the showcase: what a full private-AI build looks like for the kind of firm that can't put its data into a cloud chatbot. It's a capability I maintain, not a product I'm pushing. The three-node mesh is the demo: it's been my daily driver for a year and a half. I'm also building the Cannabis Device Safety Institute in parallel, a standards body for cannabis-consumption hardware.

The long arc is the robot. Same eyes, different bodies.

Still figuring it out. No investors. No team. One MacBook, one Mac mini, one VPS, and a lot of late nights.

ineedhemp.com · GitHub · LinkedIn

_{Built with code, caffeine, and Claude · Humboldt County, CA}