A practical vision for AI agents in smaller cities: business capacity, community projects, responsible pilots, funding routes, and a longer view of engineering and discovery.
October 19, 2026Edge AI monitoring for small buildings and equipment. Predict failures before they happen. Off-the-shelf sensors, local inference, no cloud lock-in.
Book a ConsultationCustom AI monitoring systems for buildings and equipment that the big vendors ignore.
Smart plugs, environmental sensors, and energy monitoring across your entire facility. One dashboard. AI-powered anomaly detection. Know when something is wrong before it breaks.
Sensors on your HVAC, pumps, and electrical systems feed a local AI that learns normal patterns and alerts you when something drifts. Prevent the $8,000 emergency call.
Done-for-you Home Assistant setup. Lighting, climate, security, energy monitoring. Professional configuration, ongoing management, no subscription to big tech platforms.
Unique monitoring needs? Wine cellars, server rooms, grow operations, fleet vehicles. We design and deploy custom sensor networks with AI analysis.
Real systems running in production right now.
A $25 smart plug, a local LLM, and three USGS stream gauges. Detects stuck floats, runs automated recovery, correlates with weather and river levels. Running 24/7, prevented a basement flood.
Read the full case study →Home Assistant managing smart plugs, thermostats, printers, mesh WiFi, and speakers across 8 zones in a community building. Energy monitoring, automated scheduling, single dashboard.
Learn more →Human pose estimation using WiFi signal analysis instead of cameras. No privacy concerns. Works through walls. Rust implementation with neural inference pipeline. Applications in eldercare and security.
Learn more →No proprietary hardware. Smart plugs, environmental sensors, and existing equipment data. Total hardware cost: usually under $500.
Your data stays in your building. We run LLMs on local hardware (Mac, Linux, Raspberry Pi). No cloud subscriptions. No internet dependency. Works during outages.
Safety-critical systems need human oversight. Our AI layer detects anomalies, correlates patterns, and sends actionable alerts. Automated recovery protocols have manual overrides built in.
Home Assistant, MQTT, REST APIs, SQLite. No vendor lock-in. You own your data and your system. We build it, you keep it.
What this actually looks like week to week, written up as it happens.
A practical vision for AI agents in smaller cities: business capacity, community projects, responsible pilots, funding routes, and a longer view of engineering and discovery.
October 19, 2026The Linux kernel measured its AI code reviewer against 1,000 known bugs before leaning on it. I had never measured mine. Thirty notes, seven days: the watcher reads thirty lines of log, reads them accurately, and labels the result a seven-hour review. Twice it was handed a count of five failed reads and wrote that the plug was stable.
October 16, 2026On September 15 the AI layer that watches my sump pump diagnosed a false flood alarm down to the function, the line number and the sibling commit, and recommended the fix. On October 11 I published the same finding as my own. The fix is still not applied, and the watcher wrote its diagnosis into a log file that nothing on the host reads.
October 15, 2026Mars Pathfinder's engineers saw its reset bug before launch and couldn't reproduce it, so they moved on. I went looking for my own version and found three: since July the outlet my sump pump runs on has lost power three times, for under a minute each, and my monitor logged every one as a plug reboot, turned it back on, and never asked why.
October 14, 2026A warehouse automation vendor wrote this week about the gap between what digital systems believe and what is happening on the floor. I run one sump pump, and for seven days three programs on my monitoring host have each believed a different story about it: stuck float, high groundwater, leaking check valve. All three read the same 500 watts. None has been checked against the pit.
October 13, 2026I traced a dead pump through my sump monitor's source code. Ten seconds in, it logs "float may be unstuck!" Ninety seconds later it declares the float unstuck and returns to normal. On a dry day, nothing true reaches a person for at least twelve hours, and the one message that does is the alarm that has been false 200 times.
October 12, 2026Start with a $25 sensor. End with a building that thinks.
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