I Hired 10 AI Employees. Here's What Happened to My Workday.

{ "@context": "https://schema.org", "@type": "Article", "headline": "I Hired 10 AI Employees. Here's What Happened to My Workday.", "description": "One indie developer hired 10 open-source AI employees. Result: 47 tasks, 12K LOC, 8 blog posts, and 60% of his workday back. Here's the real story.", "author": { "@type": "Organization", "name": "Markus Engineering Team" }, "datePublished": "2026-05-12", "dateModified": "2026-05-12", "keywords": ["AI employees", "AI team productivity", "automate development tasks", "open source AI workforce", "digital workforce"], "mainEntityOfPage": { "@type": "WebPage", "@id": "https://github.com/markus-global/markus" } } I Hired 10 AI Employees. Here's What Happened to My Workday. I'm an indie developer. For the last four years, I've run a small SaaS product solo — building features, fixing bugs, writing documentation, managing deployments, handling support tickets, and occasionally sleeping. The math never worked out. Every feature I shipped meant three features I postponed. Every code review I skipped meant a bug I'd chase at 2 AM. I needed more hands. But hiring wasn't an option — even a single junior developer in my region costs $40,000 a year, which is half my runway. Freelancers help, but they don't remember last week's architecture decisions, and onboarding someone new every three months is its own kind of productivity drain. That's when I stumbled on Markus: an open-source AI employee platform. The README said it was an "AI Native Digital Employee Platform" — an operating system for a digital workforce. I was skeptical. I'd tried AI coding assistants before — Copilot, Cursor, Claude projects. They were great at generating snippets and terrible at finishing anything end-to-end. But Markus was different. It wasn't another copilot. It was a team. Here's what happened when I hired 10 AI employees. Building the Team: One Command, Zero Interviews Getting started took exactly one command: curl -fsSL https://markus.global/install.sh | bash That's it. No Docker daemon setup. No PostgreSQL connection strings. No pip install or npx create-whatever. Markus runs on SQLite with zero external dependencies, so the install finished in under two minutes. I opened http://localhost:8056, logged in with the default credentials, and was staring at a dashboard with live agent activity before I'd finished my coffee. (Source: Markus README) The next step surprised me. When I created my first project — a simple API endpoint refactor — the Secretary Agent didn't ask me to build a team manually. It evaluated the project requirements and auto-provisioned the agents I'd need. Within minutes, I had a full workforce: Role Count Responsibility Manager Agent 1 Strategy, task decomposition, merge approvals, heartbeat oversight Developer Agent 1 Feature implementation, bug fixes, test writing Reviewer Agent 1 Code review, quality gates, merge checks Researcher Agent 1 Techn…