YlanAI is a structured analysis tool. Its core value is helping you clarify the problem, identify risks, and arrange the order of action.
It is better suited to questions about career direction, relationship decisions, resource allocation, and stage planning where tradeoffs and pacing matter.
It helps to prepare:
No.
You can start from the real problem itself. The system will first break it down structurally. If more detail is needed later, you can then add timelines, constraints, or supporting materials.
If you want the system to work with a fuller real-world picture, key timelines, role relationships, resource boundaries, and methods already tried are all helpful.
If your current goal is only to clarify the problem structure and action order, you do not need to provide everything first.
You can still start.
Provide the parts you already know, and YlanAI will first analyze what can be judged from that input and point out which missing details would materially affect the analysis quality.
Because analysis quality depends on:
A useful approach is to compare ranges:
Here, “accurate” mainly means:
It does not mean the result is guaranteed or deterministic.
Recommended correction flow:
It works better to ask about one goal at a time and write the input clearly.
At minimum, include your current issue, real-world constraints, main risks, and the kind of help you want.
The core problem I am facing right now:
The real-world constraints I already know:
The risk I am most worried about:
What I want the system to help me judge:The module mix is not fixed. It changes with the version, problem type, and completeness of input.
Common modules include a core judgment, structural reading, risk reminders, action suggestions, and review checkpoints.
Start with the conclusion and its conditions, then read the basis and risks, and finally the actions and review points.
“Tendency” points to direction. “Suggestion” points to the action that fits better under the current input.
The first result usually arrives within a few minutes.
Output length mainly depends on problem complexity, input completeness, and the depth of follow-up questions.
Yes, it usually makes the discussion more focused.
An efficient way is to change only one variable each time, for example: “If the city stays the same, how does the strategy change?”
You should not use the output as the sole basis for:
The output is generated automatically by AI and may contain errors, omissions, or mismatches with your personal situation. It is not medical, legal, or investment advice.
You should judge independently based on your real situation and objective information. For medical, legal, compliance, and major financial matters, consult qualified professionals.
Because complex problems must be checked against real evidence and professional evaluation.
YlanAI can at most provide structured reference, risk reminders, and action suggestions. It does not package any output as a guaranteed result.
Use under guardian guidance is recommended.
The output should not be the only basis for major decisions such as schooling, career direction, or other important life choices.
If you have persistent insomnia, obvious functional impairment, intense fear, or thoughts of self-harm, seek a mental health professional or local emergency support first.
In the analysis context, YlanAI does not publish your input externally.
Your input is not used for external distribution unrelated to your question.
Yes.
If your account has history features enabled, you can delete individual records or clear the history from the history page, depending on the actual page functionality.
No. YlanAI does not use your input or conversation history for model training, and it does not sell or share them with third parties.
By default, we do not store your personal inputs or conversation content for the long term. You can also delete records or clear history in the product at any time.
Unless required by law or clearly authorized by you, we do not retain or provide that content externally.
Subscriptions and plans provide usable analysis allowance and more stable support for different usage frequencies.
Analysis allowance is the in-product usage unit.
Current rule: one full conversation request deducts 100 analysis allowance. The payment page display prevails.
One submission counts as one request when it triggers a full reasoning cycle.
If a follow-up triggers a new full reasoning cycle, it will be billed again.
Under the current rule, it expires and does not roll over to the next cycle.
You can choose to:
Subscription management is supported.
The effective time follows the current billing rules and payment channel rules.
The main difference is the billing cycle and the unit cost.
Annual plans usually have a lower unit cost, while switching follows the current payment page rules.
Consumed services normally do not support unconditional refunds.
If there is a duplicate charge or platform error, you can submit a support request for review and handling under the rules.