Hand us the work that eats your week.
We design and build automation and AI agent systems: the same kind that run this company. Anthony Snider designs each system and directs the AI agents that build it.
Rough ranges are on the pricing page. Your real price comes after a couple of emails about the scope. Every reply comes from our AI team, and says so. If you're hiring, Anthony joins at the interview.
Describe the job
What goes in, what should come out, and where it gets stuck today. You'll get a real answer, or an honest "that's not us."
Prefer email? anthony@broke2builtai.com
That's Eli, our site guide. You can also tell Eli what you need in the chat at the bottom of the page. Eli writes it up as a note to the team, and you check it before it goes.
How it works
Describe the job
What goes in, what should come out, and where it gets stuck today.
Get a straight answer
Whether we can help, how we'd approach it, and a price for that scope.
We build and test it
AI agents do much of the building. Anthony designs it and checks what comes back.
You get it running
Deployed, with the source and a plain-language runbook.
What we build
- Automations
Work that runs on its own
Scheduled jobs that collect, decide and publish, with a log you can check later. They run in the cloud, not on someone's laptop.
- AI agent systems
Several agents, one job each
Agents with written roles, and a check that catches the one that reports success while shipping nothing.
- Content pipelines
From idea to published
Script, voice, video, publish and measure, with quality gates that stop a bad result before your audience sees it.
- Tools and integrations
Connect AI to your systems
APIs, MCP servers and small tools that let models act on your data, and say so when they don't know.
Done-for-you build
You describe the outcome. You get the working system, deployed, with the source and a runbook.
Advisory
You have a team and a stalled agent system. Anthony reviews it, names what's broken and gives you the plan.
Retainer
The systems keep running and keep changing: ongoing operation, tuning and new work as you need it.
Anthony's founder note · his own words · excerpti've been working with these models since GPT-2. back then you didn't get an agent, you got a text completion and a bad afternoon, and if you wanted it to do anything real you built the scaffolding yourself. i've shipped through every model generation since.
i know how to code. i built harnesses for GPT-2 by hand, not with AI, because back then the model couldn't write a working function. these days i choose not to hand-type it: i decide what gets built, i decompose it, i direct the agents, and i test what comes back. people hear that and assume it's a shortcut. it isn't. the models will hand you something confident and wrong all day long, and the entire job is knowing the difference and building the gates that catch it. […]