Why this exists
Almost every learning tool built in the last decade optimises for the same thing: reducing the time between a question and an answer. That is genuinely useful when you need a fact. It is actively harmful when you need to understand something.
Trading Education exists because people learning to read markets as a subject, not as a shortcut kept running into the second case and being handed the first.
The method, plainly
The Socratic method is older than every technology it is now paired with, and the core of it is unglamorous: ask a question, listen properly to the answer, and choose the next question based on what the answer revealed.
AI makes that practical at a scale a single person cannot manage — it can hold the thread of a conversation, adapt the next question, and stay patient through the fourth attempt. What it does not do here is skip to the end.
What this deliberately will not do
It will not hand over a finished answer on request. The question it keeps returning to is How much of this outcome was your reasoning, and how much was variance?, because that an outcome proves the reasoning behind it was sound is exactly the failure it is designed to prevent.
It does not promise a grade, a score or an outcome. Learning is not that predictable, and anyone who tells you otherwise is selling something.
How we judge whether it worked
The measure is behavioural, not numerical: the learner separates a good decision from a good outcome without prompting. When that happens, the method has done its job and can get out of the way.
If you want to test that claim against your own situation, the fastest route is the beginner guide on risk vocabulary, then the decision-journal exercises in resources.