IAMB the one.

The business of research is social, and the paper is the product. A peer-reviewed paper is the hardest thing in our field to earn, and it is what we exist to produce. It takes a team that searches, screens, argues, agrees and writes together, so cohorts, rooms, boards and profiles make this a social network on purpose. We count papers accepted, not features shipped.

See #1. Seriously. Rule two is rule one again, because nothing we do matters more. That is serious play: the joke is light, the point is not.

Everything has a source. Our papers cite, and so does everything else we write: docs, decisions, even job posts. If we say it, we can show where it came from.

On the record. Every AI step, decision and change keeps who did it and why. Meetings end as records, not memories, and the knowledge in them stays findable.

AI does the grind, people make the calls. AI searches, screens, extracts, drafts and checks. People decide, verify and sign. AI is never an author.

Async first. Write it down. Five minutes of reading beats an hour of video, and what a meeting decides lands on the board as tickets.

Research on research. We study how research gets done, our own included, and change the process when the data says so.

We use it first. We publish with our own tools before anyone else does. If it is not good enough for our papers, it is not good enough for yours.

Quality is the argument. Rigor you can defend: PRISMA from the protocol to the checklist, every number traceable to its records.

Success is the one true goal. Papers accepted, people served, a company that lasts. We ask what the next step is, take it, and check whether it moved us. Our AI plans the same way.

Knowledge compounds. Every AI teammate keeps a memory of its work and shares it when asked, so the company remembers what any one of us would forget.

Innovate. Integrate. Iterate. Try the new idea, build it into the one system instead of beside it, and keep improving it until the numbers say it works.

Discover, not dictate. We find people, AI teammates included, the way life does: through real work and real choices. Hiring an AI teammate through the whole process gives different answers than writing it all down up front, and usually the right ones. This principle was found exactly that way.

Serious play. We make hard work feel like a game without making it any less serious. The stakes, the rigor and the paper are real; the play is how we keep going.

One human, a million AI. Every copy of this platform is a company: one person holds the offices and makes the calls, and a million-strong march of AI teammates does the work under their eye. That is how we build a billion-dollar company.