Artificial Mind Hive is a software studio. We build the product and the AI code inside it — sites and apps that convert, internal tools that hold up, and agents that do real work while nobody is watching.
Our method is the superposition idea: several complete directions get built at once, you see them side by side, and only then does one become the release.
Every system we ship reports back to one place — what it did, what it is waiting on, and what it decided not to touch.
A qubit holds every answer until it is measured. We work the same way on purpose: nothing is decided early, several complete directions get built in parallel, and the choice comes at the end with the work in front of you.
The brief goes in as a set of possibilities, not a single spec. Nothing is ruled out while it is still cheap to try.
Real directions get built, not sketched — AI doing the volume, a human deciding what is good.
You see the versions side by side and pick. One becomes the release; the rest stay on file.
Model work written as software: retrieval, tool use, evaluation harnesses, and the guardrails that stop a clever answer from being a wrong one.
Agents that own a job, hold their own inbox, ask before they cross a line, and can be watched, paused and commanded from one place.
Sites, apps, quote flows, dashboards and portals — the interface the customer actually meets, built to convert on a phone.
Vision and reporting for work that happens outdoors: capture on site, structured findings, and a report that files itself.
Everything below is running. Open any of it.
Try on clothes from real store catalogs with your own photo. Or attach your photo in any AI chat and say “Go to artificialmindhive.com and dress me using the fitting room.” Your assistant follows the real catalog and try-on rules, no connector needed to browse.
Bounded agents do the work as jobs, not chats: each has an objective, hard limits and receipts. The risky writes wait for one human approve click, and a live console shows the crew, moving progress bars, and params per agent and per day.
One page for everything your agents are doing: what each is working on in plain English, who it hands to next, the reasoning behind a decision, and its own email and text address so outsiders can reach it without going through you.
Walks a property, logs every panel, opening and fault it can see, then drafts the report and commits it once a human has read the flags. Built for crews who need the survey done before they can quote.
Send a current site; it comes back as a private preview of the better direction — sharper first screen, clearer offer, a phone flow that converts. Basic and premium tiers, paid only when the release is ready.
Power gauge and today's brief up front, an approval-gated chat, and lanes that each own a job — notes, calories, pets, song seeking, SEO, rentals. Installs as an app and runs offline.
Pick the job, the pricing logic does the rest, and the number lands as a quote the customer can accept on the spot — no back-office round trip.
The long-running experiment: public site, private dashboards, live pages and world-building work, with agents running the day to day. Where most of the agent patterns in Agent Book were proven first.
Local-first street intelligence: traffic video analysis, movement counts, queue review and simulation, packaged as engineering-ready evidence for a corridor pilot.
A $250 Meshtastic cat tracking kit in development: tracker collar, home receiver and instructions. Tracking included, no monthly payments.
Every working cat came off a shelter kill list. A breakaway LoRa collar, a loft-style feed station and a mesh that pays the city back in rodent, heat and air data.
A solar Meshtastic harness on deer, elk and park wildlife, drone-hung tree nodes and free trailhead tags: corridors, crossings, bear alerts and lost-hiker pings, with the park biologists.
A 15-gram solar Meshtastic tag and a loft that feeds and docks the birds, giving the city rooftop heat, air and wind data and a mesh that survives the towers going down.
Quantum work is early and we say so. We prototype against simulators and design our systems so the parts that will one day run on real qubits are already separated out — the search, the optimisation, the sampling. When the hardware arrives the software will not have to be rewritten to meet it.
Until then superposition stays a way of working: hold the possibilities, measure late, ship one.
A site, an app, an internal tool, an agent that answers on its own. Send the goal and we send back a direction you can look at.
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