What to ask your AI assistant

Once Vitruve is connected, ask in plain language. The assistant looks up the athletes, workouts, and measurements it needs before it answers.

Example questionsCopy Anchor Link

These are examples to adapt, not claims about your data.

Athletes and teams

• “List my U18 athletes and their last completed workout.”
• “Who on the senior squad hasn’t trained this week?”

Velocity and load

• “Compare Jordan’s mean propulsive velocity at the same load over the last four weeks.”
• “Show Alex’s load-velocity profile for the back squat.”
• “Which athletes lost more than 20% velocity across their sets in yesterday’s session?”

Sessions and programs

• “Explain this workout set by set: prescribed versus executed.”
• “What is assigned to the U18 squad next week?”
• “Rank the team on the current countermovement jump leaderboard.”

Wellness and injuries

• “Which athletes reported sleep below 3 in their wellness questionnaires this week?”
• “Summarize the active injuries in my squad and their expected recovery dates.”

Learning

• “What is velocity loss, and how should I use it to end a set?”
• “How does Vitruve calculate mean propulsive velocity?”

Get better answersCopy Anchor Link

• Name what you mean: the athlete or team, the exercise, the measurement, and the time window.
• Keep periods reasonable. A season of repetitions is a lot of data; ask for weekly averages or bests rather than every rep.
• Ask for a table or chart when you compare athletes or weeks.
• Check important numbers in Vitruve before you act on them. The assistant answers only from what it reads, but it can still misread or summarize wrongly.

If the assistant says an athlete is not found or not visible, the athlete is outside what your role can see, or the name is spelled differently in Vitruve.