The OpenLabor Blog
What we are learning while building a company that runs on AI employees — architecture, comparisons and build logs, written up as it happens.
- Why Now: Models Will Keep Improving. That Is Not What You Are Waiting On. — The honest case for starting this year, the honest case for waiting, and the four situations where we tell people the answer is not yet.
- Tool AIs Want to Be Agent AIs: The Drift Built Into Every AI Product — In 2016, Gwern predicted every AI tool would drift into acting on its own — the human approval step is the expensive part. Your stack is proving him right.
- AI Agent Harness vs Wrapper: Why the Model Is Not the Product — Every AI product calls the same handful of models. What separates one that finishes work from one that writes about work is the harness around the model.
- Limova vs OpenLabor: Nine Fixed Agents or Custom Employees — Limova ships nine preconfigured agents for €69.90/mo. OpenLabor builds employees around the work you actually do. The difference is architecture, not price.
- How One Person Runs a Five-Role Team Without Hiring — Marketing, sales, design, inbox and analytics — staffed one role at a time over four weeks, in the order that buys back the most hours first.
- AI Employees vs Custom GPTs: Why 'Build Your Own' Stalls — Custom GPTs are a good way to package expertise into a chat. They stop exactly where the work starts — at publishing, remembering and recovering.
- Is It Safe to Give AI Employees Access to Your Tools? — The honest version: how credentials are stored, what the audit log actually catches, which risks remain, and the order to connect things in.
- How to Run Your Business on Telegram with AI Employees — Dashboards get abandoned because you have to remember them. Putting employees in the group chat your team already reads changes the adoption curve.
- How to Hire an AI SDR: The 2026 Playbook for Automated Outbound — An AI SDR is worth it for research, sequencing and CRM hygiene — and not worth it for the call. Here's how to split the job and set one up.
- SOUL.md: How We Gave Our AI Employees a Personality — Most AI agents read like a script written by a committee. Splitting one system prompt into three files — soul, user, playbook — fixed ours. Here's the structure.
- How to Hire an AI CMO That Actually Runs Your Marketing — Most AI marketing tools draft copy and hand it back. An AI CMO owns the calendar, publishes, and reports. Here's what to check before you hire one.
- Lindy AI Alternative: When You Want Employees, Not a Workflow Builder — Lindy is excellent if you want to build automations. If you want the work done without designing anything first, you are shopping in the wrong category.
- Sintra AI Alternative: The Honest 2026 Comparison — Sintra's twelve helpers work in isolation and mostly hand you text to paste. Here's where that hurts, where Sintra is genuinely ahead, and who should switch.
- Best AI Employees in 2026: The Only Guide That's Honest — Most 'AI agent' round-ups compare builders to employees to enterprise platforms. Three different products. Here's which category you actually need.
- AI Employees vs Marketing Agencies: The $5,000/mo Reckoning — Most of what a retainer buys is execution you can now automate. Here's what to keep paying humans for, and what to stop.
- AI Employees vs Freelancers: What to Delegate to Which — Not a replacement argument. A task-by-task split: what AI already does better, what still needs a human, and the hybrid most lean teams end up with.
- AI Employees vs ChatGPT: Why Copy-Pasting Is Costing You Hours — ChatGPT is a tool you operate. That operating cost is invisible until you add it up — and it is usually larger than the software you refused to buy.
- AI Tools vs AI Employees: Why Your Team Got Busier — Same models, opposite outcomes. One founder scales with no staff; another team drowns in review. Here's the variable — and how to measure which side you're on.
- The Hidden Cost of a Cheap Freelancer — The rate is the small number. Onboarding, chasing, revisions and re-explaining are the big one — and they are what AI actually removes.
- How We Built Our AI SDR (and What Broke First) — A build log: what the first version got wrong, why enrichment came before writing, and the guardrail that keeps an autonomous SDR from burning your domain.
- What Is an AI Employee? A Definition That Isn't Marketing — Everything is called an AI employee now. Here is the actual test — state, hands, a loop and a job — and what fails it.