Autopsy investigates why companies fail

What it is Autopsy investigates why companies fail — and what could have saved them. Six specialized AI agents per mode research in parallel, debate each other's findings, and produce a forensic verdict in ~22 seconds. Four modes: Postmortem — investigate why a company failed Pre-Mortem — predict what could kill a living company Founder Mode — analyze your own startup before it fails Counterfactual — explore alternate histories: "What if they made a different decision?" Counterfactual Mode The 4th mode asks: What if [company] had made a different decision? Six counterfactual agents reason about what didn't happen: CF Market Analyst — skeptical about internal decisions changing external market realities CF Operator — assesses whether the alternate decision could actually be executed CF Money Trail — models the financial impact of the alternate path CF Customer Voice — evaluates whether users would have responded differently CF Engineer — honest about technical complexity vs. leadership beliefs CF Historian — finds real precedents (requires 2+ historical cases as evidence) Each agent must: understand the actual causal chain, identify the decision point, model the alternate chain, find real precedents, and assess second-order consequences (butterfly effects). The synthesizer renders one of five verdicts: would have survived, would have delayed failure, would have failed differently, would have made no difference, or could have transformed the company. Preset scenarios: Blockbuster/Netflix, Kodak/Digital, Yahoo/Google, Quibi/TV, Theranos/Real Science, MySpace/Better Tech.