Give Your AI Agent a Board of Advisors — Turn Well-Documented Operators Into Seats That Actually Disagree With You, Cite Their Sources, and Refuse to Answer When They Don't Know, in One Session

Paste this into Claude Code, Cursor, or Aider and it interviews you about the agent you already run — what it can read about your business, how it surfaces things to you, whether it can schedule its own work — then researches each advisor you name, fact-checks that research against itself, and builds the machinery: one markdown dossier per seat holding numbered, citable doctrine; a router that picks who has standing on a given question; a fan-out that gives each seat its own isolated model call so they can genuinely disagree; a citation gate that strips any reference a seat could not have seen; and your own agent as chair, the only participant who has read your actual revenue. Plus abstention as a first-class answer, a unanimity guard that cannot be talked into agreement, blind spots that let the chair discount a seat, and a standing monthly review that puts an agenda in front of you without being asked. Interview first, research second, then build tier by tier — each tier produces something you can run, and the anti-fabrication defenses are built before the first meeting, not after.