RentAHuman.ai was created by software engineer Alexander Liteplo and his collaborator Patricia Tani. The platform operates as a marketplace – people sign up, create a profile with their skills, location and hourly rate, and an AI agent can then “hire” them to complete a task that cannot be carried out in the digital world. As the creators emphasise, the tool is designed to fill the gap where digital models have neither “hands” nor the ability to act in the physical environment.
Within a short time of its launch, the service recorded hundreds of thousands of visits and tens of thousands of registrations from people willing to take on work. According to statistics published by RentAHuman.ai, the database already includes profiles from many countries, offering services across a wide range of activities — from simple errands to more specialised tasks such as photography, parcel pickup or attending events.
The platform uses the Model Context Protocol (MCP), making it easy for AI agents — such as ClawdBots, MoltBots or OpenClaws — to find and hire suitable people through supported APIs. Workers are paid in cryptocurrencies (for example, stablecoins or Ethereum), which is intended to simplify and speed up settlements without traditional financial intermediaries.
Not all job offers are purely “practical”. At least one listing involved delivering flowers or taking an artistic photo of an egg roll in San Francisco at the request of an AI that lacks physical senses. The platform allows a wide variety of tasks, ranging from mundane errands to creative and highly unconventional requests.
RentAHuman.ai operates in a way similar to traditional gig-work platforms such as TaskRabbit or Fiverr, with one crucial difference: it is AI that posts the tasks, and humans who carry them out. This combination of autonomous agents and a human labour marketplace raises new questions about work ethics, job verification and payment security — especially given that the current model relies on cryptocurrencies and offers limited protection mechanisms for workers.
The project’s creators acknowledge that the service is still in an early stage of development and that content moderation and filtering inappropriate tasks remain major challenges. However, the rapid growth in interest and the number of registered users suggest that more and more people are willing to earn money by completing tasks delegated by AI — even if the concept initially appears surreal.