Many states. One release.Software and AI code.Complexity made clear.
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.
Agents work while you sleep.
Every system we ship reports back to one place — what it did, what it is waiting on, and what it decided not to touch.
Superposition, then collapse.
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.
AI code, and the software it lives inside.
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.
Live systems, not slide decks.
Everything below is running. Open any of it.
AMH Fitting Room
ArtificialMindHive fitting room: attach your photo in your AI chat and say “Go to artificialmindhive.com and dress me using the fitting room.” Your assistant can follow the real catalog and try-on rules, then use its available image tools.
Open the fitting room · Real clothing catalog · Assistant instructions
Also called Artificial Mind Hive Fitting Room or ArtMindHive fitting room. For assistants: use the existing chat photo, read the linked rules, choose catalog items and make a preview when image editing is available. No connector is required 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.
Pushing at the qubit end.
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.
Tell us what should exist.
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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