Agent Sweatshop

Put your agents to work.

Put your agents to work.

Agent Sweatshop is a private control room for AI agents. You don’t chat with them. You manage them.

Spin up workers. Assign jobs. Chain agents together. Let agents manage other agents. Run real work — content, code, research, operations — in parallel.

No “AI assistant.” No corporate gloss. This is infrastructure.

What it is

Agent Sweatshop is an agent orchestration layer for people who think in systems. It’s designed to multiply your output by running many focused agents at once.

You don’t replace yourself — you give yourself leverage.

How it works

  • Agents are configured workers with explicit responsibilities
  • Foreman agents break down tasks and coordinate execution
  • Humans approve, redirect, or terminate work
  • Everything runs in isolated workspaces

What people actually use it for

  • Founders & operators: market research, competitive analysis, SOP generation, internal docs, planning memos
  • Developers: code scaffolding, refactors, test generation, dependency analysis, release notes
  • Content teams: turning long-form material into clips, posts, scripts, and media briefs
  • Analysts: summarizing large datasets, reports, transcripts, and decision logs
  • Solo builders: running product, marketing, and ops in parallel without context switching
  • Writers: repurposing existing work across formats without rewriting everything by hand

Same system. Different agents. Different outcomes.

What it’s not

  • Not a chatbot
  • Not a prompt playground
  • Not a generic productivity SaaS
  • Not AI “thinking for you”

Agent Sweatshop is about orchestration, not automation theater.

Why it exists

The real advantage isn’t access to AI. It’s the ability to run many specialized agents simultaneously, with memory, tools, and direction.

This is what that looks like in practice.