Decision Mentor is an application for multi-criteria decision-making, designed to streamline intricate decision-making processes for both public and private use. It encourages a critical and problem-solving-oriented approach to making decisions.
It operates through an AI-supported, criteria-based approach that helps users pinpoint preferred options, establish criteria importance, and directly compare alternatives, offering a visual depiction of choices.
Its adaptability to various user types, including individuals, teams, and organizations, ensures versatility across numerous applications. User privacy is a key consideration; while details regarding individual decisions remain private, decisions made public by users are shared on the public feed.
Decision Mentor is based on the Analytic Hierarchy Process (AHP), a Multiple Criteria Decision Making/Analysis (MCDM/MCDA) theory by Prof.
Thomas L. Saaty. Additionally, the tool incorporates OpenAI’s GPT-3.5 API for suggesting criteria, employing machine learning to assess user input and provide pertinent recommendations.
This application is well-suited for those seeking assistance with complex decisions or needing advisory support on important matters.
AI chat suggestions
Decision-making visualized
Choose between PUBLIC/PRIVATE settings
Only supports chat-based suggestions
No API support
Relies on user-shared decisions

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