Falsify: an adversarial pre-mortem for research hypotheses

Falsify asks what would have to be true for your hypothesis to be wrong, before you spend time and money testing it. It turns a hypothesis into a structured research pre-mortem.

HYPOTHESIS → DECOMPOSE → ATTACK → TEST → DECIDE

What it produces

Atomic claims that can be tested separately
Hidden assumptions and confounders
Competing explanations and missing controls
Falsification tests designed to weaken the hypothesis, not confirm it
The most dangerous failure mode and the minimum next experiment
Evidence boundaries: what should raise confidence, lower it or force a revision

Each investigation can become a Falsification Passport, exported as Markdown, JSON or a printable report.

Research statuses

Status	Meaning
`UNDER_SPECIFIED`	Not precise enough to falsify properly
`TESTABLE`	Defined well enough for useful testing
`WEAKLY_SUPPORTED`	Some evidence exists, but important uncertainty remains
`EVIDENCE_BACKED`	The supplied evidence survives the current pre-mortem

These labels describe the state of the analysis, not scientific truth.

Status

Falsify is a prototype built for the NativeBuilder hackathon. It uses OpenRouter for inference, keeps investigations in the browser and needs no account. It is a reasoning aid, not a replacement for domain experts, peer review or experiments. Source: KalarisLabs/Falsify. For agent skills that cover the same stage, see hypothesis-generation and experimental-design in Research Agent Skills.