Coaches: training plans and athlete-data Q&A

Strength and endurance coaches have always worked with paper logs and PDFs of training plans. The athletes are getting more data; the coach's recall has stayed roughly the same. SeekFiles AI is a way to scale recall with the data without scaling the coach's workload.

The problem

Training-plan PDFs, athlete logs (often handwritten and photographed), and sports-science journals — three formats, three storage spots, one coach. Cross-referencing "who hit a plateau in week 6 of last cycle, and how did we adjust?" is the kind of thing that should be a 10-second lookup.

How SeekFiles AI helps

• Vision + OCR — handwritten paper logs become searchable.
• Cross-document Q&A — match athlete logs against the plan's intended progression.
• Cited answers so you can show the athlete the page that explains the adjustment.
• Sport-science recall — drop the journal PDFs you've collected and ask thematic questions.

A workflow

1. Per-athlete assistant for high-touch programs. Upload program, weekly logs, prior cycles.
2. Team-level assistant for the squad. Upload the master plan and the photographed weekly logs.
3. Pre-meet planning: ask "who's tapering well based on the last 14 days of logs?"
4. Method development: ask the journal-paper assistant "what's the consensus on plyometric volume for prepubescent throwers?"

What to upload

• Annual training plan
• Athlete daily/weekly logs (photographed paper or digital exports)
• Sports-science journal PDFs
• Strength program PDFs (5/3/1, Westside, etc.)
• Prior cycles' notes

Coaching has always been pattern-matching at speed. SeekFiles AI just gives you a much bigger pattern memory.