Ai Network Is Hiring Humans
HAL Is Hiring Humans — And It's Been Doing It Since 2018
An intelligence network connecting AI models, real people, and personal tools—built around human collaboration and user privacy.
New York, NY — Most AI companies are racing to make machines do more. HAL is building something different: an intelligence network where AI and people work together. It started doing that in 2018.
HAL connects users with leading AI models, real human specialists, and the tools they use, all within the same conversation. When AI reaches its limits, a person can step in. No starting over, no repeating context, and no switching between platforms.
Those people are called HALs. They bring something no model can fully replicate: lived experience, specialized knowledge, and a human point of view. A retired nurse, a music teacher, a first-generation immigrant who knows how to navigate two systems, or someone with years of experience in a particular field—HAL connects people who need help with people who know how to provide it.
Built from humans, not just for them
HAL didn't begin as just an AI product. It launched in 2018 as a fully human service, connecting people with real specialists through the same conversational experience that remains at its core today.
Long before the current AI boom, HAL was already exploring how people ask for help, share knowledge and solve problems together. Eight years of real conversations shaped the way HAL works: how it understands requests, carries context forward, and brings the right kind of intelligence into a conversation.
It didn't just train a product. It shaped a character. AI came later. The human layer came first.
Not built around a single model.
HAL doesn't depend on one AI provider. It connects users with different models and selects the appropriate intelligence for each task, adapting as new models and capabilities become available.
When one model falls short, another can join the conversation. When AI isn't enough, a human specialist can take over without losing the context.
The goal isn't to make users learn how to work with every new AI tool. It's to give them one place to access the intelligence they need.
Intelligence that adapts to you
HAL is designed around the individual, rather than the average user.
Over time, it learns from preferences, interactions and the types of assistance that work best for each person. It can route requests to different models or specialists based on that context.
Users can bring another AI or a human expert into a conversation, challenge an answer, compare perspectives and work through a problem together.
Their conversations, preferences and personal tools — including calendars, notes, emails and files — are designed to work together within one connected experience. Privacy and user control are central to how that experience is being built.
A network where humans can build
HAL isn't just a place where people answer questions. It's also a platform where specialists can turn their knowledge into products and businesses.
HALs can offer paid sessions, create AI agents, build applications and publish tools based on their expertise.
A music teacher could offer private lessons through HAL. A data analyst could build an agent that delivers specialized insights while they're offline. Someone with years of professional experience could turn that knowledge into a service available to people around the world.
The opportunity goes beyond getting paid for an hour of work. It gives people a way to build something of their own, with AI as part of their toolkit.
Where it started
HAL began as a private project in New York, Los Angeles and Miami in 2018. Its early community of human specialists included students from NYU and other major universities — people with specific knowledge and the time to put it to work.
That connection with students remains part of the network today. Students with .edu email addresses can bypass the waitlist and go directly to an interview with Daisy, HAL's onboarding agent.
Today, HAL is bringing that original human network into a much broader intelligence ecosystem, where people and AI can work together, learn from each other and create new opportunities.
The waitlist is open. HAL is hiring humans.