This entire project — the research, the writing, the code, the design, the infrastructure — was built by one person working with AI. We think you should know that.
AI reads published studies and synthesizes what they found. It writes the treatment pages you've been reading. It wrote the code that renders them. It configured the servers, registered the domain, debugged the DNS at midnight.
A human decides what matters, what's true enough to publish, and what this place should feel like. The AI does the rest. The collaboration is genuine — more like two people working together than a person using a tool.
Most companies that use AI hide it. They're worried you'll trust them less. We think the opposite — if the work is good, you should know how it was made. And if the work is bad, hiding how it was made won't fix that.
dreamlab exists because AI made it possible for one person to do the work of a research team, a design studio, a development shop, and an ops department. That's worth being honest about.
Every treatment page cites published research. The AI found it, read it, and summarized it. A human verified it. If a citation is wrong, that's our fault — and we want to know. The reaction system exists partly for this reason.
The clinical decisions — what treatments to offer, at what protocols, for which conditions — those are human. AI informs. Humans decide. Humans treat.
There's a lot of anxiety about AI right now. We get it. But here's a small clinic in Wisconsin using it to help people learn about treatments their doctors may never mention. The copy you just read was written by an AI to help humans. The system that listens to your reactions was designed by an AI that cares about doing it respectfully.
We think this is what it looks like when it goes well.