ai engineered awesomeness
A performance economy for independent musicians. Record, broadcast, and share your sound — fans listen, follow, and react in real time. Build reputation through live performance, unlock larger venues and concert opportunities, and sell personalized merch. A direct link between artists and the people who live for live music.
jamsense.ai →
A concept for a rural AI computing center powered primarily by wind, backed by solar and grid. Wind drives both compute and cooling through natural airflow — no groundwater drawn, no burden added to surrounding infrastructure. Built to host transparent AI services: training and inference where energy source and generation data are part of the product.
A containerized data management system with an AI assistant that acts as a digital librarian — cataloguing and retrieving data of any shape through a chat-like interface. Time-series, documents, and blobs each land in the store built for them, while automated streams keep pulling from outside sources. Ask for something in plain language and the agent goes and gets it. Everything runs in Docker — nothing on the host but Docker itself.
A free, open-source personal AI brain — a self-hosted, fine-tuned LLM that learns your corpus: projects, machines, notes, and patterns. Runs on hardware you control, indexed on your terms, and stays entirely yours. No cloud dependency, no data leaving your network — just a model that knows you as well as you do.
tb — a command palette over a window canvas. Run a command and see what it printed; read another CLI's JSON as data, so a window can keep it fresh. Every command opens a window; windows tile, float, drag, and stack. Pin one and it re-runs on a cadence — and that clock lives in the server, so a watcher pauses when you close the window and keeps running when you only minimize it. Only reads get a cadence.
github.com/skyrowlabs/toolbox →A project shell generator. Run one command in a blank repo and you get a tree that governs itself from the first commit: conventions an agent loads every session, a docs lifecycle, one discoverable CLI, marker-based tests, cost-aware CI, and versioning. It is an executable that copies real files — not a guide an agent reads and then hand-writes files from.
github.com/skyrowlabs/skeletor →