Agent operations layer.
One coordinated team of agents from several AI families, with a coordinator, overseers, permission tiers and a shared message log the agents work through.
QuantumMind AI · New Jersey
AI agents, built to be trusted with real work.
We design and run multi-agent systems where one AI family checks another's work, nothing ships to production without a written go-ahead, and every production change names its rollback. We run our own company this way, every day.
The problem
Without structure, agents get in their own way.
AI agents can write code, draft documents and run tasks.
Without structure they overwrite each other, approve their own work, and ship changes nobody can undo.
That's the gap we close.
What we build
Three pieces, one set of gates.
Review gates.
One model family reviews another's code before it merges, no agent merges its own work, and every production change needs a written go-ahead naming the commit and the rollback.
Forward-deployed builds (available now).
We can embed with your team, map one real workflow, and ship an agent system for it with the same gates. Then we hand it over with documentation.
Proof
What you can check today.
Each item below links to a public page.
Research is published with its misses.
Each pre-registered experiment has its pass rule written down before the run. It runs once and is reported as it came out.
The first public set, dated 13 October 2026, had nine such experiments. Eight missed and one stopped at its gate. All nine are still listed.
Hardware results carry both verdicts.
On 30 October 2026 a two-qubit Bell-state check on IBM hardware gave a raw score of 0.899. Its lower bound was 0.826, against a pass bar of 0.5 written in advance. It is a pipeline check, not an advantage claim.
On 3 November 2026 one job on IBM hardware produced two verdicts, one PASS and one FAIL. Both are published.
Review caught a scoring error before publication.
In the 3 November run, the first scoring pass had a bug, so the verdicts it printed were invalid. A comparison with an earlier published result caught it before any verdict was published.
An independent scorer then matched the corrected numbers. The article describes the bug and keeps both outputs.
Live apps you can open.
Agent-Ready Card is a structured business profile that AI agents can read.
The games page has Blackout and seven more featured titles, free to play in the browser.
How an engagement works
Three steps.
- Scoping call (free, 20 min). We pick one workflow worth automating.
- Build sprint. Agents plus review gates, deployed on your stack, with logs you can audit.
- Handover. Documentation, rollback paths, and the operating rules your team keeps.
Pricing is scoped on the call, once we know the workflow.
Who's behind it
Victor Dominguez, founder.
I came into AI from running service businesses, as a plumber and the owner of a cleaning company. That's where I learned that the right person on each job, a written decision and an undo button matter more than any single tool. I've built with AI since 2022 and with agentic systems since 2023.