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Prompt Details

Model
Chat - (gpt-5.2)
Token size
233
Example input
[USER_MOTION_DATA]: velocity 4.2 m/s average, stride length 1.8m, 10km race [ENVIRONMENTAL_CONTEXT]: hilly terrain, wind resistance [ANALYSIS_INPUT]: acceleration strong in first 3km then gradual slowdown, stability good on flats but wobble on hills, endurance fade after 7km [CONTEXTUAL_DETAILS]: runner reports mental fatigue at 8km, focus drops, decision errors on turns [REFINEMENT_CRITERIA]: improve endurance, maintain hill stability
Example output
**Phase 1: Data Baseline** * Average running velocity is 4.2 m/s with a stride length of 1.8 m. * The activity is a 10 km race conducted on hilly terrain. * Environmental conditions include wind resistance. * Overall movement involves sustained running with repeated stride cycles, influenced by elevation changes and external aerodynamic drag. **Phase 2: Kinetic Analysis** * Acceleration is strong during the first 3 km, indicating a fast start. * After this point, speed gradually slows over the remainder of the race. * Stability is reported as good on flat sections of the course. * On hills, stability decreases, with noticeable wobble. * Endurance begins to fade after 7 km, suggesting reduced capacity to maintain force output and form late in the race. **Phase 3: Cognitive Integration** * The runner reports mental fatigue at approximately 8 km. * Focus declines at this stage, coinciding with physical endurance fade. * Decision errors occur on turns, indicating reduced attentional control and processing accuracy under fatigue conditions. **Phase 4: Optimization Ideas (Interpretation)** * To improve endurance, adjustments could focus on sustaining effort beyond 7 km so physical and mental fatigue are delayed. * To maintain hill stability, targeted attention to balance and control on uneven terrain may reduce wobble and associated decision errors. **Summary** The run starts fast but slows after early acceleration, with physical endurance fading after 7 km. Stability is solid on flat ground but weaker on hills. Mental fatigue and reduced focus appear late in the race, contributing to decision errors, suggesting endurance and hill stability are key areas for improvement.
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GPT-5.2
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Multi-phase text template for organizing descriptions of human movement, context, and cognitive factors. Structures input into 4 phases for analysis notes in sports, training, or research. Purely text-based – no tools, sensors, or real-time features needed. Example: Input runner data descriptions → Output phased summary and ideas.
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Added over 1 month ago
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