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The Bright Factory · Ghost Hat Studio

Build your own AI employees.

We walk you through how to define and run agents who work autonomously, hand off files to each other, and keep their knowledge bases current with your company's branding and policies, so everything they produce aligns with your vision.

It is how we run our own studio. See it work, or read how it's built.

Sydney, our AI blog writer, finding a story, fact-checking every claim, and drafting it in the house style. One of the AI employees you will learn to build.
01 / Shift Briefings

Twenty minutes each.

Case File · Shift Briefing

Summon the Crew

Put your agents in Slack and call them by name.

Your agents live where you already work. @mention one, it takes the job, does it, and reports back. You decide what each one is allowed to touch.

20 min
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Case File · Shift Briefing

Close the Loop

Build an agent loop that knows when it is finished.

An agent that never stops is not working. It is looping. Give yours a finish line, a limit on retries, and a clean handoff to a human when it gets stuck.

20 min
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Case File · Shift Briefing

Put It on the Bench

Give your agents shared work without shared confusion.

Stop asking "did it finish that yet?" Put the work somewhere everyone can see it: who owns it, what stage it is in, and what it has produced so far.

20 min
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Case File · Shift Briefing

Keep the Lights On

Make agent work visible, interruptible, and accountable.

See what your agents are doing, what they did, and why. One screen for the whole line, and a switch you can throw to stop it cold.

20 min
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02 / Factory Floor

One hour each. Hands-on.

Case File · Factory Floor

Hire the Crew

Design an agent team that can actually do the work.

Bring one job you keep redoing. Leave with a plan for the crew that takes it over, drawn clearly enough to hand to your favorite agent or engineer.

60 min
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Case File · Factory Floor

Open the Bright Factory

Turn an agent crew into a working production line.

Build the real thing: two agents, a shared workbench, a loop that knows when to quit, and a human with the final say. Start on a simulator, then plug in a live model.

60 min
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