methodology
How FitAI Turns Your Inputs Into a Training Plan
See how FitAI combines user inputs, exercise selection, weekly structure, progression, primary-source research, citations, and validation without claiming medical endorsement.
Inputs narrow the useful choices
Goals, experience, equipment, schedule, preferences, screening responses, and prior training context guide exercise selection instead of assuming that one movement or routine suits everyone.
Structure connects sessions over time
The program organizes frequency, session roles, workload, and progression into a practical sequence, then uses completed work and feedback when later sessions need adjustment.
Sources inform principles, not endorsements
Public guidelines and research can inform general programming principles, while FitAI's own screening, constraints, feedback, and validation shape product output for the individual context.
Validation has an explicit boundary
Checks can identify conflicts with known inputs and product rules, but they cannot establish medical suitability, guarantee outcomes, or turn a cited organization into a FitAI endorser.
- https://odphp.health.gov/our-work/nutrition-physical-activity/physical-activity-guidelines/current-guidelines
- https://www.who.int/publications/i/item/9789240014886
- https://pubmed.ncbi.nlm.nih.gov/41843416/
- https://pubmed.ncbi.nlm.nih.gov/21694556/
These sources inform general principles; their authors and organizations do not endorse FitAI Trainer.