Productivity
PromptBeginner5 minmarkdown
- And a note that Olympic schedules can shift due to weather
delays
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Showing 24 of 3,533Categories: Data, Productivity, Cursor-rules
Data
PromptBeginner5 minmarkdown
- Popularity sorting rationale (e.g.
based on historical viewership data from previous Olympics)
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Productivity
PromptBeginner5 minmarkdown
Base the list on the most up-to-date schedules from reliable sources (e.g.
Olympics.com official schedule
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Productivity
PromptBeginner5 minmarkdown
Organize the information with a separate markdown table for each day that has at least one notable event. Place the date as a level-3 heading above each table (e.g.
### February 6
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Data
PromptBeginner5 minmarkdown
1. Grok (xAI) – Excellent real-time updates
tool access for verification
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Data
PromptBeginner5 minmarkdown
- Data points
studies
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Data
PromptBeginner5 minmarkdown
meta_reflection: Yes—the analysis itself functioned as a transformative inquiry. Initially
the dataset appeared to distinguish simply between shallow and deep questions; through reflection
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Productivity
PromptBeginner5 minmarkdown
insights: Across the scans
transformative questions consistently redirect attention from surface descriptions (tasks
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Productivity
PromptBeginner5 minmarkdown
reasoning: The question explores intent and direction but stays largely within an instrumental
task-oriented frame without prompting deeper self-reflection or assumption revision.
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Productivity
PromptBeginner5 minmarkdown
[turn 3] human: Stupid stuff. Chores
schedules.
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Productivity
PromptBeginner5 minmarkdown
decision_question: Does this question redirect the conversation from executing or describing a task toward examining internal meaning
assumptions
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Productivity
PromptBeginner5 minmarkdown
Decision Question: Does this question redirect from executing/describing a task toward examining internal meaning
assumptions
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Data
PromptBeginner5 minmarkdown
corpus_character: In this dataset
the right question is one that shifts the frame from doing or describing toward understanding oneself and the meaning beneath the problem.
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Productivity
PromptBeginner5 minmarkdown
transformative: If the question causes the speaker to reinterpret what the problem is really about (from task to meaning)
it is transformative.
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Productivity
PromptBeginner5 minmarkdown
decision_question: Does this question redirect the conversation from executing or describing a task toward examining internal meaning
assumptions
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Productivity
PromptBeginner5 minmarkdown
It reframes the problem away from surface behavior or tasks toward meaning
identity
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Productivity
PromptBeginner5 minmarkdown
M1: Sure
what's it about? → task clarification
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Productivity
PromptBeginner5 minmarkdown
{ axis: problem framing (surface task vs underlying meaning)
weight: primary }
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Productivity
PromptBeginner5 minmarkdown
Questions redirect from surface behaviors toward internal meaning
causing reinterpretation as self-understanding rather than task execution.
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Productivity
PromptBeginner5 minmarkdown
{ axis: problem framing (surface task vs underlying meaning)
weight: primary }
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Data
PromptBeginner5 minmarkdown
This is excellent! The GPT is producing high-quality outputs. The transformation pattern is very insightful: questions redirect attention from surface behaviors toward internal meaning
causing the speaker to reinterpret the problem as one of self-understanding rather than task execution.
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Productivity
PromptBeginner5 minmarkdown
{ axis: problem framing (surface task vs underlying meaning)
weight: primary }
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Data
PromptBeginner5 minmarkdown
context_definition: In this dataset
context refers to the underlying frame that defines what the conversation is really about: whether it is operating at the level of surface tasks and information exchange
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Productivity
PromptBeginner5 minmarkdown
procedural or task-oriented questions (\What’s it about?\
\What accomplishments…?\)
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