RESEARCH METHOD

A machine for finding connections and remembering when they fail.

Must Hit Intelligence separates source evidence, derived inference, founder judgment, forecasts, and capital decisions so none can impersonate another.

1. Ingest the world as atomic claims

Sources are not dropped into a generic document pile. The system extracts small, attributable claims with a subject, relationship, object, observation date, confidence, and original provenance. Contradictory claims can coexist.

2. Connect atoms into falsifiable molecules

A molecule is a synthesis: a causal chain, constraint map, industry structure, or emerging thesis. It must preserve the atoms that support it and expose the missing evidence that would weaken it.

3. Direct attention with founder judgment

Outlier choices, declared biases, decisions, and postmortems form the proprietary layer. They tell the system what is worth looking for. They never become factual evidence and cannot be authored by the model.

4. Generate candidates, not commands

Models can compile a frozen evidence packet into an opportunity candidate or article draft. The output remains inference. It has no authority to publish, trade, alter an allocation, or rewrite history.

5. Resolve and retain

Forecasts, rejected ideas, and capital decisions remain in the ledger after the outcome is known. Over time the system can examine where the evidence was weak, where judgment was early, and where conviction was misplaced.