AIUNITES is the engineering layer underneath a connected network of seventeen products — the cross-site identity system, the local-first data sync, the human movement notation, the vocal resonance notation, and the publishing pipeline that holds it all together. Not a directory. Original work.
Field reports on the engineering behind a connected network of products. Real problems, real debugging, real systems in production.
Ten custom domains stuck in the same GitHub Pages dns_changed state. The apex-vs-www cert trap that costs you a 24-hour Let's Encrypt rate limit if you toggle the wrong switch first. The dnsimple/GoDaddy A-record values that have to be exactly four addresses, not three, not five. A field report on the unglamorous infrastructure work nobody writes about until they have to do it across ten domains at once.
An auto-publish script that fires every ten minutes via Windows Task Scheduler. A one-shot script-runner queue that auto-comments scripts after success. An MCP filesystem server that lets Claude read and edit files in eighteen repos without prompts. The operating discipline that makes one operator running eighteen production sites sustainable instead of crushing. What it took to build and what breaks first.
No application server. No managed database. No backend at all. The AIUNITES network runs entirely on GitHub Pages, with a SQLite database that lives in a separate git repo and gets synced to each site via a CloudDB JavaScript module. How user data crosses site boundaries without a single Lambda function. Where the model holds up and where it breaks when conflict resolution gets hard.
Original notation systems developed by AIUNITES — free to use, machine-parseable, human-readable, no proprietary software required. Designed for real applications across fitness, rehab, vocal training, and virtual world avatar movement.
A formal text-based notation for human movement. Squats, deadlifts, rehab sequences, sports patterns — everything encodes the same way: name, depth or range, load type and amount, tempo. The result is plain text a physiotherapist can write, an LLM can parse, and a virtual world avatar can execute. Anywhere a body moves in a measurable way, MNN gives you a way to write it down.
SQUAT[depth=90,load=BW,tempo=2-1-2]
Text notation for vocal training. Pitch targets, resonance placement, breath patterns, onset types — the unglamorous mechanics of how a voice actually works, written in a format that survives the move from one app to another. Designed for the VoiceStry platform and adaptable to clinical voice coaching, choral training, and AI-driven feedback systems. The first vocal notation that doesn't require a music theory degree to read.
ONSET[soft,H*]→PITCH[A4,chest]→RES[forward]
Both protocols are open and free under permissive license. Read the full HMN specification →
The same engineering depth that built the network is available for consulting work. Six service tracks for businesses ready to apply AI seriously.
We assess your business, identify AI opportunities, and write the implementation plan. Output is a written deliverable, not a deck.
From chatbots to predictive models to bespoke agent systems. Real code, not configuration of someone else's SaaS.
Seamlessly integrate AI capabilities into your existing systems and workflows.
Turn your data into actionable insights with advanced analytics and visualization.
Ensure your AI systems are responsible, compliant, and trustworthy.
Empower your team to work effectively with AI through hands-on training.
AIUNITES brings together AI expertise and business acumen to help organizations thrive in the age of artificial intelligence.
We're not just technologists — we're problem solvers. Our team combines deep AI knowledge with real-world business experience to deliver solutions that make a difference.
To democratize AI and help every business harness its transformative power.
Start small, prove value, then scale. We believe in iterative, results-driven development.
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The ERP Magazine. News, tutorials, and insights for enterprise systems.
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