Validation of the effectiveness of structured cue words
Comparison tests show that the quality of AI answers using PromptHelper templates improves significantly: the completeness of answers in the academic domain improves by 401 TP3T, the logic of business analysis reports improves by 351 TP3T, and the accuracy rate of programming solutions reaches 921 TP3T.The core value of this is to transform fuzzy requirements into structured commands that can be paraphrased by machines.
Typical lifting scenario:
- Basic questioning → applying the PEARL principles template: adding evidence requirements and logical frameworks
- Simple Counseling → Activating the Multi-Step Reasoning Template: forcing a step-by-step thought process
- Open Discussion → Loading the Socratic Template: Towards a Critical Dialogue
Actual cases show that after using the 『Depth Analysis Template』 on Kimi platform, the length of the answer was increased from 200 words to 800 words, and the number of cited sources increased from 1 to 5 authoritative sources.
This answer comes from the articlePromptHelper: Efficient User Scripts for Writing and Managing AI PromptsThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil