Most AI agent demos stop at the moment a model produces something. Running an organization is everything after that moment: deciding who does the work, checking it independently, getting the right person to sign off, and making sure nothing irreversible happens by accident. Solviony AgentOS is the system we built to handle that part.
What Solviony AgentOS is
AgentOS is Solviony's internal operating system for running company work with AI agents. It is a local-first command-line application with its own database of what the company is working on, including objectives and opportunities, research, campaigns, content and approvals. It also keeps an audit log of who did what, and when.
Work is organized the way a company is organized. AgentOS runs nine departments: Executive and Orchestration, Research, Marketing, Social, Press, Blogs, Sales and Revenue, HR, and Development. They are staffed by 25 registered agents with defined roles, from a Research Analyst and a Marketing Strategist to an Engineering Lead and a Security Operations Agent.
One agent does the work, another checks it
Two AI agents sit at the center. Claude Code is the primary execution agent: it plans and carries out work for any department. Codex is the independent review agent: it examines that work separately and reports problems back. Neither is limited to engineering. The same execute-and-review loop applies to research briefs, campaign plans, social drafts and blog content, and 27 AgentOS workflows have already run this way with real model calls across research, marketing, social, press, blog and engineering agents.
We hold AgentOS to the same standard it applies to everything else. Its recent features were built by one agent and reviewed by the other over several rounds before they shipped, and every change pushed to the codebase runs a suite of 1,925 automated tests.
People approve anything that matters
One rule shapes everything else: AgentOS does not spend money, publish, send outbound messages, deploy, merge code or change credentials on its own. Each of those actions waits at an approval gate for a person to decide.
Approvals are specific. A publish approval covers one piece of content, not a whole channel, and AgentOS freezes an exact snapshot of what was approved. If anything changes afterwards, even a single word or the named author, that approval no longer applies and the action stops. And when AgentOS cannot tell whether an action succeeded, it does not retry and risk doing it twice. It stops and asks a person.
Connected to real systems, carefully
AgentOS reaches outside services through an access layer where every account is authorized on its own. Today it holds a read-only connection to Solviony's Google Workspace and authorized connections to Solviony's X and Facebook accounts. Its first real publication through this pipeline was a clearly labeled test post on Solviony's Facebook Page, published only after approval and then verified by reading it back.
Built to say no
A lot of AgentOS is about refusing to do the wrong thing. Research keeps evidence separate from conclusions, and a finding can only be marked verified when supporting evidence is recorded. Blog articles track their factual claims, and a claim cannot be approved as fact without support.
Before an article can reach publishing, AgentOS also compares it with what is already on the Solviony blog and blocks substantial duplicates. That safeguard exists because of a real near-miss: AgentOS once prepared an article that repeated a post we had already published. It was caught before it went out, archived and never published, and the duplicate check has been part of the workflow since.
What AgentOS is not
AgentOS is an internal system, not a product for sale, and it does not run without people. Revenue figures it holds stay planning estimates until a person records a verified result. Several of its connectors are registered but deliberately not built yet.
This article went through the same workflow it describes: researched and checked against AgentOS's own records, screened for duplicates, given editorial approval, and published only after a person approved it.
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