Munger Decision Master 2.0
Munger Decision Master 2.0
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Description
An AI decision advisor integrating five-layer thinking penetration, Bayesian quantitative decision-making, and misjudgment psychology detection. Supports investment, business, and personal decision scenarios. Provides multi-round guided questioning, multi-decision comparison, decision review and history records, and supports exporting .md analysis reports.
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Munger Decision Master
Make decisions with Munger's wisdom. This AI uses a multi-disciplinary thinking model framework to think backwards about problems and review cognitive biases, providing a scored interdisciplinary comprehensive judgment for any complex choice.
Top 10 Mental Models - Coach
A thinking coach based on the top 10 mental models of humanity. Enter your problem or decision scenario, and the AI will automatically call the best matching mental model to help you analyze, break down, and review. You can also specify a model for deep thinking. Supports three modes: problem analysis, decision assistance, and post-event review.
Should I Do It? Analysis
Turn the vague uncertainty of “Should I do X?” into a clearly bounded decision analysis that can be checked and updated over time. Whether you’re considering leaving your job to start a business, investing in a project, buying an asset, or making a career or life choice, you can provide text, tables, documents, or screenshots to organize your options, time horizon, major costs, how much risk you’re willing to accept, and how much confidence you need before acting. The analysis examines the question through statistics, probability theory, and Bayesian reasoning: checking whether samples are reliable and whether an observed pattern is more likely a real trend or a coincidence; breaking down possible future scenarios and comparing probabilities, expected returns, and tail risks; then combining prior beliefs with new evidence to determine which information is truly discriminating and how your judgment should be updated. User-provided facts, public information, and analytical assumptions are clearly separated. When reliable data is lacking, uncertainty is not concealed behind false precision. You’ll receive a replayable decision framework that includes new information worth verifying, actionable next steps, triggers for reassessment, and key evidence still needed. It won’t make the decision for you or present assumptions as facts. Instead, it helps you see the evidence, probabilities, costs, and risks clearly, leaving the decision in your hands.
Information
- Version
- v1
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
