What problem does it solve?
It helps you make higher-quality investment and decision choices by applying Charlie Munger’s multidisciplinary mental models to identify hidden risks, cognitive biases, and the ways your plan can fail.
Core Features & Use Cases
- Inversion-first reasoning: Finds the wrong ways to think and the failure modes that guarantee bad outcomes, then works backward to what to do instead.
- Cognitive-bias detection: Scans for the specific biases (and “lollapalooza” combinations) that commonly distort judgment in investing and business decisions.
- Circle-of-competence discipline: Encourages staying inside what you can truly evaluate, using margin of safety, opportunity cost, and “too hard” triage.
Use cases: stock and thesis review, capital allocation decisions, evaluating business models for moat and incentive fit, and decision-making quality checks under uncertainty.
Quick Start
Ask rt-munger to analyze your investment decision by first listing the most likely ways it could go wrong, the cognitive biases involved, and then proposing what evidence would change its conclusion.