Product · working today

Rehearsal — practice big decisions before making them.

Companies rehearse fire drills, but not their biggest strategic moves. Professional war-gaming exists — at six figures per exercise. Rehearsal makes it an afternoon: AI characters play the regulator, the competitors, and the press, and react to your plan turn by turn.

4reacting characters — a regulator, an incumbent, a rival, the press
replayablefork any turn and try a different move to compare outcomes
not a crystal balland it says so on every page it produces

How it works

The honest frame is the product

Rehearsal is a practice room, not a fortune teller. Simulations don't predict the future — they surface the questions you should have asked, and every debrief says exactly that at the top. What it can guarantee is discipline: a referee blocks any character from crossing its stated red lines or spending money it doesn't have, so the rehearsal stays believable.

Proof it works

The built-in scenario is "launch SME lending in Mexico at aggressive pricing" — the exact decision Bridge underwrites. Run it and the story unfolds plausibly: the incumbent lobbies then matches your price, the regulator escalates from an inquiry to a binding pricing rule, the press picks up the consumer angle, and a peso shock tightens funding. Start with fair pricing instead, and the run ends at roughly half the regulatory heat — a concrete "what if we'd chosen differently."

For technical readers
  • Actors decide from bounded information (only the indicators their card exposes) and self-enforce their red lines and budgets; a facilitator independently re-checks every move and blocks any that would cross a red line or overspend — a unit test proves it catches and substitutes a bad move.
  • Deterministic rule-based actors (reproducible, CI-gated) plus a Claude actor path under the same constraints.
  • Branching forks any turn and replays; scripted shocks perturb the world mid-run.
  • A Checkpoint eval gate verifies the core invariant — zero constraint violations across every tested strategy (8/8).

Honest limitations — this is the research bet