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Automated support for your natural reasoning ability.
Capture, communicate, and debug your mental model of how a given mission, system, or process works. Using your knowledge. In your words.
Monterey Phoenix (MP) is a user-friendly approach and tool to help you explore and understand complex systems, processes, or missions. With MP, you can:
Map out decisions and see their potential outcomes
Plan actions and predict their results
Identify risks, threats, and opportunities
Uncover hidden issues in your plans or systems
Shape prompts for Artificial Intelligence (AI) tools
MP helps you think smarter and plan better by:
Turning your ideas into clear, easy-to-read diagrams
Showing every possible way a process could unfold based on your rules
Helping you spot mistakes, risks, or gaps in your thinking
Making powerful analysis tools accessible without needing a technical degree
Revealing overlooked risks, assumptions, or exceptions
Strengthening your strategies, workflows, or systems against challenges
MP is designed for technical as well as non-technical users:
Easy to Use: Describe your process in a straightforward language—no advanced skills needed
Complete Analysis: Automatically generate all possible outcomes for your system design
Clear Visuals: Create intuitive diagrams to share with your team
Informed Decisions: Check for specific issues and measure risks, costs, and time
Quantified Results: Summarize findings with reports, charts, and tables
MP has been transforming how teams plan and analyze behavior since 2015:
Used by Naval commands, defense agencies, and national labs
Supported by free or open source tools like MP-Firebird and MP-Gryphon
Uncovered surprising insights in systems across many fields
Works with modern system design standards such as Systems Modeling Language (SysML)
Ready to plan for emergence and make better decisions? MP empowers you to design complex systems and processes that do what you want, and not what you don't.
Monterey Phoenix (MP) was developed at the U.S. Navy Naval Postgraduate School (NPS) by Dr. Mikhail Auguston in the Department of Computer Sciences. The engine behind MP is the result of decades of research and development.
© 2025 Kristin Giammarco