Use AI for structure before judgment
AI is useful when it converts scattered notes into a consistent brief, identifies missing context, compares competing hypotheses, summarizes evidence, and prepares questions for a coach. These tasks can reduce administrative work and make the final conversation clearer.
The quality of the result still depends on the quality and scope of the input. A confident answer built from incomplete context remains incomplete.
Distinguish observation, interpretation, and recommendation
An observation describes what can be seen or counted. An interpretation proposes why it happened. A recommendation chooses an action. AI systems often move between these layers without marking the transition. A responsible workflow labels each layer and states uncertainty.
For example, a player being late to contact is observable in a defined clip. The cause might involve recognition, positioning, movement, preparation, ball quality, fatigue, or the camera angle. Selecting a technical change without testing those possibilities creates false precision.
Know the hard boundaries
A general AI conversation should not diagnose injury, determine safe rehabilitation, assess mental-health conditions, identify talent, guarantee an outcome, or overrule professionals who can examine the player and own the decision. One clip cannot establish a complete technical, tactical, physical, or psychological picture.
Minor data requires additional restraint. Public intake should not collect identifiable minor video, medical information, school information, or direct contact without guardian control and a specific consent process.
- Good use: organize evidence and questions
- Conditional use: pattern review with complete context and human checking
- Do not use: diagnosis, safeguarding decisions, talent prediction, or guaranteed prescriptions
Build an accountable review loop
A practical workflow begins with a narrow question, structured context, defined evidence, an AI-prepared brief, qualified human review, one bounded action, and a follow-up test. The person responsible for the consequential recommendation should be identifiable.
GEN Tennis uses planning tools to organize context and prepare better questions. It does not make automated coaching decisions, and consequential recommendations remain subject to qualified human review.