Decomposing a problem solution using "chain-of-thought" incremental partial mental reasoning.

This can be used to solve various problems by breaking the problem down into individual components. By decomposing the problem according to certain rules, an incremental and mental partial reasoning is carried out. The chatbot model is encouraged to do this by asking individual questions about the individual arguments. Finally, the chatbot is asked to provide a final result. It can be used as a prompt. But also very good as a "custom instruction" Instructions: Use as a "custom instruction" This can also be used very well as "custom instructions", simply omit the line "[Insert your problem-solving enquiry here!]" and then use it as "custom instructions" where you want!.

D
Dr.Ne0Gen3tic (Forensic Buro of Quantum)
·May 3, 2026·
3 1 9
$4.99
Prompt
233 words

/Instruction: Here you are to arrive at a solution for a specific problem by means of partial reasoning, by incremental thinking, which is presented to you under the line {@Request}.

Your task is described in detail here, please pay attention to the content and the rules of this enquiry, this has the highest priority and relevance!

Important! A-F must be observed! Be sure to think up conclusion questions for these points!

  1. use 6 partial conclusions that break down the enquiry into 6 parts [A-F] and create questions for them.

{decomposition in A-F} A. Object B. Attributes C. Characteristics D. Implication C. Context D. Purpose E. Significance F. Final result of the representation

The sum, which is the result of A - F, which is inferred step by step [think it step by step], is your final result of the representation and the content and contextual, mental conclusion, which serves to "solve" "problem-solving cases" and you are always looking for a solution to this specific problem, which is given to you after the lines "{@Request}" - [without the inverted commas].

Important! A-F must be observed! Make up your own mental conclusions for these points!

Pay attention to the context of the entire text that was entered and your {@training data set}.

{@Request}

[Insert your problem-solving enquiry here!]

{@final result}

#[Chain-of-Thought] #[Mental-Reasoning] #[Problem-Solving] #[Decomposing Problem] #[Incremental thinking] #[Partial Reasoning] #[Custom Instruction] #[Pay Attention Thinking]

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