txuselo:
AI is no longer just “generating plausible sentences.” Through Agentic architectures, the LLM doesn’t invent workouts. It acts as an orchestrator that strictly respects established training methodologies, calls upon precise mathematical tools to analyze metrics with more exactness than a human ever could, and adapts plans based on hard data.
For a good example of this, take a look at Section11,
specifically the section11.md file. It’s literally dozens of pages with instructions for the LLM on how to respond and how not to respond.
I’ve been working on a structured protocol that makes AI endurance coaching consistent, reliable, and moveable, that works with any AI/LLM and is free.
Sharing it here since it builds on ideas from this community.
Section 11 — a deterministic protocol that forces AI systems to fetch your Intervals.icu data, follow evidence-based frameworks, and give auditable recommendations.
What it does: * Auto-fetches your training data via JSON mirror (Also manual option) * Structured response format: ses…
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