CrossFit veteran's GPT coaching setup works per-session but loses long-term programming
rabbitholebeer · reddit · 2026-09-17
A Reddit user with 12 years of CrossFit experience details his attempt to build a long-term adaptive training coach with GPT.
Goal: combine trail/ultra running with CrossFit-style strength, power, conditioning and injury prevention, with the model managing training cycles, remembering recent work, and adjusting daily based on recovery.
Current setup: a Project with multiple chats, high-thinking GPT, deep-research reports, his own training history, and detailed project instructions.
Problem: early programming is good, but over time the model collapses into a small loop — recycling exercises, failing to develop prior blocks, losing longitudinal progression.
Open architecture questions: maintain a training-state doc updated per session? Put periodization in a file instead of project context? Split programming/research/injury/feedback chats? Periodically have GPT audit prior weeks? The core ask: make the model sustain a coherent months-long program instead of treating each day as a one-off workout generation.
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