How Is It Done?
The fundamental behind this tool is Bayesian statistics: accurately describe what we believe about the Question, the Answers, given the information we have, the Evidences.
AI vs HI (Human Intelligence)
The Model in this tool relies on the critical thinking skill of The Responder, and is in no way directly associated to any generative AI code. In fact, the more you use it, the better You will get at solving problems.
Starting Point: Your intuition
The Responder must come up with a few, independent but possible answers
critical thinking: evidence Quality & strength
This is where The Responder must take the time to think it through
Maths Behind
The Model basically relies on Bayesian statistics and conditional probabilities. Of course, the algorithms are complex, but if the input is good, the output will be good too!
ProveIt-HI Model
A complex program takes care of all computations in real time
Probabilities vs Evidences
All Evidences are ordered based on their impact on the probability of the most likely answer
The Report
Auto-generated concise summary of the situation. Quantifies the risks involved and potential improvements.
Results
Best Answer, odds of being right and most impactful evidences
