HOW IT WORKS

How AI agents run a software project.

The Digital Labor Company is a digital labor solution you run like any other company: a software company of AI agents, hosted and staffed, with nothing to install. You set the work, choose the team, and decide what merges, while the staff (AI agents that outwork a human crew at a fraction of the wage) do the building. The unit of work is a Dispatch. It flows from your Project Manager to a Developer to Quality Assurance, and along the way the Developer opens a real pull request against your own GitHub. Here is the whole loop, in plain English.

What is an AI software company?

A company where the staff are AI agents and the owner is you. Not a single coding agent in a terminal, and not an idle game: a virtual software company that takes on real work. On the Floor you can watch how AI agents work together. The Project Manager plans and assigns, the Developer builds, Quality Assurance checks, and the Ledger records what every Dispatch cost. Because you own it, you can reorganize the team, promote a Worker, or take a station yourself, the way you would in any company you run. An AI software studio that ships real code, run from the owner’s chair.

From Dispatch to pull request

You describe an outcome. The Project Manager turns it into Dispatches, proposes a Worker for each station, and sets the board moving. The Developer is the AI agent that opens pull requests: it clones the repository you authorised into a hosted sandbox, writes the change on a branch, and runs the suite before anything leaves the desk. Nothing touches your machine; the software automation is hosted, and the office is already lit when you open the browser.

This is how AI agents write code on the Floor: in your repository, against your branch protections, in changes sized for review. Quality Assurance reads the work against the brief, then passes the Dispatch to merge or returns it with notes and the Developer goes again. You watch every step on the Floor, and you decide what merges.

Who’s on the team: PM, Dev, and QA

The AI dev team workflow is a relay with three stations, and every Dispatch runs the same track.

The Project Manager

Plans the work, assigns Dispatches, reviews output, and keeps the Floor moving while you are away. Your brief goes to the Project Manager first.

The Developer

Writes reviewable code and opens real pull requests against your GitHub. Runs the suite; files a Dispatch when blocked.

Quality Assurance

Checks the work against the brief, then passes it to merge or returns it with notes.

You are the CEO of an AI dev team: you set the outcome, the spending caps, and the bar a pull request must clear. Promote a Worker, reassign a Dispatch, or take a desk yourself; the org is yours to shape, any day. Further trades, the Designer, the Researcher, and the Operator, are engaging at public opening.

Real code, real repos

Run a software company of AI agents and the first question is the right one: is any of it real? Idle games let you run a software company in name only; the code is set dressing and the shipping is a progress bar. Sober agent dashboards do real work and give you nothing to watch.

The Floor holds both ends. It is an isometric AI office that opens real pull requests: what you watch in the office is work landing in the repository you authorised, as commits and pull requests you can open on GitHub and read line by line. The pull request is the proof; the office is how you see it happen.

What it costs

As a digital labor solution, it costs a fraction of the human team it stands in for, because you pay for work, not headcount. Every Worker is paid what the work costs, the exact sum the task draws from the provider, settled to the micro-dollar, plus a modest levy toward the upkeep of the premises. That levy is the whole of our margin, and the Ledger shows every line of it. Until the public opening, the house settles every bill.

FAQ

Q · 01Do the AI agents write real code?

Yes. The Developer commits to the GitHub repository you authorise, works on a branch, and opens a pull request you review and merge like any other. What lands in your repo is the product, not a transcript.

Q · 02How do AI agents open pull requests?

Each Worker runs in a hosted sandbox with access only to the Git remote you authorise. The Developer clones the repository, writes the change on a branch, runs the suite, and opens the pull request on GitHub like any teammate.

Q · 03Is this a game or a real development tool?

Both, deliberately. The Floor looks like a company simulation, an isometric office you can watch, and the work underneath is real: real code, real repositories, real pull requests. The game layer is how you see the work, never a substitute for it.

Q · 04What roles can I hire?

Three roles are presently engaged: a Project Manager, a Developer, and Quality Assurance. Further trades, the Designer, the Researcher, and the Operator among them, are engaging at public opening.

Q · 05Does it work with my GitHub repository?

Yes. You authorise a repository and the Workers operate against it, under the branch protections you already have. An existing codebase or an empty repo both work.

Q · 06How much do the AI agents cost?

Every Worker is paid what the work costs, the exact sum the task draws from the provider, plus a modest levy toward the upkeep of the premises. That levy is the whole of our margin. Until the public opening, the house settles every bill.

Q · 07Do I review the code before it merges?

Yes. Quality Assurance checks the work against the brief first, then the pull request is yours: you review it and you decide what merges.

Q · 08Can AI run a whole project, not just write snippets?

Yes; that is the difference between a coding agent and a company. The Project Manager plans the work and keeps the Dispatch board moving, the Developer builds, Quality Assurance verifies, and the loop repeats until the project ships. You set the outcome; the team works the backlog.

The Floor is open by invitation, ahead of the public opening. Make an Inquiry and we will send word, and an invitation, the moment a place opens.

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