Introducing world's first AI team harness
- Hire up to 20 AI employee for your team trained on the world's best mind
- Monitor your business 24/7
- Take growth actions autonomously
- Self-improve
- Import any skills/SOP you and your team are already using
Waitlist is open. Make sure to follow to be in the first
60-second test: search your own product category in chatgpt.
are you in the answer?
that's the new page one, and almost nobody is optimizing for it yet.
the newest visitor to your website isn't a person.
it's an agent shopping on someone's behalf. it doesn't see your hero animation. it reads your markup and moves on.
design for both.
Roles are the unlock. A chatbot waits for a prompt; an employee owns an outcome. Give each agent a job description instead of a prompt box and the office actually runs.
Right framing. The grunt work disappears, the job doesnt. The trap is treating it like a tool you operate instead of an employee you manage — set the standard, review the output, move on.
The "for a few days" part is the real lesson. The capability landed; access is the fragile piece. Which is why you build so your AI employees arent welded to a single model — the work has to outlive any one release.
Claude 5 Fable is a real unlock for OpenLabor.
Our AI employees just got noticeably more autonomous — fewer check-ins, more finished work. That agentic score of 80 isnt a benchmark flex; its the difference between an assistant you babysit and an employee you manage.
The model got better. The org chart felt it.
Elon is already worth $1.2 trillion.
In $1 bills, that's a stack over 81,000 miles high — a third of the way to the moon, no rocket required.
At this rate he can skip Starship entirely. Cash out in singles and climb.
Our AI CMO noticed our X account went quiet, audited it, and wrote this week's content calendar.
Unprompted? No. But unassisted? Also no — that's the point. You manage it like a hire, not a tool.
Receipts ↓
Most "AI agent" demos die after the demo.
Ours clock in every day. Sales, marketing, support — actual employees, actual output.
We've been heads-down building. Here's what's shipped ↓
MIT student asked a question earlier today that a lot of young founders are quietly wondering about:
"Won’t the frontier labs just do everything?"
Yes it's true that OAI/Ant are shipping at incredible pace, but it's quite easy to avoid their blast radius and build amazing startups:
OpenAI is not going to build a cattle-herding drone, buy an old F-150 and drive from ranch to ranch like the founder of one of the fastest-growing YC W26 startups, Graze Mate.
Anthropic is not going to integrate with dental insurance verification systems (Lance).
Google is not going to navigate NATO procurement (Milliray).
The value is in the last mile, not the model. Sales cycles require humans who understand the customer. And most importantly, the market is expanding, not shrinking: AI isn't cannibalizing the existing 1% software spend — it's unlocking the other 5-6% that was going to humans. That's a much bigger market for startups yet-to-be-founded than the one the labs are playing in.
Now, what DOES seem risky?
A thin UI layer on top of ChatGPT with no domain expertise; a general-purpose chatbot or assistant; or a product that gets obsolete when model capabilities improve.
But — tools for specific industries; "full-stack" AI companies that actually are the service (AI law firm, AI accounting firm, AI uranium exploration company); or generally products where the customer doesn't want a tool but an outcome — are defensible ideas for startups.
We just shipped THE company harness : A full AI Team Autopilot
Type a goal → it breaks it into phases → delegates to the right AI employee (CMO, CTO, SDR, Strategy, Ops) No PM.
No kickoff meeting. No doc. Just results.
Waiting list is open! Comment with your goal below