Everything Athleet.Ai has published on artificial intelligence in coaching, athlete development and performance sport.
In shortAthleet.Ai has published 24 pieces since 2023: 11 articles and 13 papers, covering coaching judgement, training load, talent identification, young athletes and the responsible use of AI in sport.
Governance is not a compliance appendix to sports AI. It is what makes the system usable under pressure. The five layers, why you classify the decision rather than the te
Read →16 July 2026 · ArticleConversational analysis could put advanced capability in every coach\u2019s hands. The five things a trustworthy answer must carry, why a domain model is more convincing
Read →16 May 2026 · ArticleThe most credible organisational promise of AI in sport is capacity, not prediction. What may be prepared, what must be owned by a human, and why time saved is the wrong
Read →15 April 2026 · PaperGolf measures more per shot than almost any sport and remembers less. What the Rules already decide, why spin rate is not a basis for a decision, and what actually moves
Read →17 March 2026 · ArticleA physical output without its sporting context can mislead. How linking event data, tracking, video and coach observation turns numbers into clips, and why automated tagg
Read →15 February 2026 · PaperFootball measures more than any sport and forgets faster than most. Why the next advantage is decision intelligence, and what the availability and congestion evidence rea
Read →16 January 2026 · ArticleComparing an athlete with a population is not individualisation. The five layers of an athlete context graph, why the same training-load value can mean opposite things in
Read →15 December 2025 · PaperSix apps and nobody in charge is the normal condition of the age-group triathlete. Why reconciliation beats prescription, and what the evidence really says about readines
Read →17 November 2025 · ArticleAdding another dashboard rarely changes behaviour. As athlete-management systems absorb AI, the coach role expands from interpreting reports to designing the decision env
Read →15 October 2025 · PaperFootball’s talent net is wide and full of holes cut by birth month, maturity and geography. Why AI should add capacity and memory rather than prediction, and what must ne
Read →18 September 2025 · ArticleHigh-performance sport is not short of data. It is short of interpretation time. Where artificial intelligence genuinely helps coaches prepare better decisions, and the m
Read →15 August 2025 · PaperCommunity athletics has a capacity problem, not a data problem. What AI can honestly do for the volunteer coach, and the four things it must never be pointed at in youth
Read →15 June 2025 · PaperAthletics has more measurement than shared understanding. Why event-specific expertise matters, what the workload ratio evidence really shows, and why continuity beats pr
Read →15 April 2025 · PaperSport is buying AI faster than it is governing it. A governance and assurance model built on five controls, with the evidence on why injury prediction fails and what to m
Read →1 March 2025 · ArticleIIntroducing AI for Parents of Young Athletes since raising a young athlete is a rewarding yet challenging journey. AI for Parents of Young Athletes: Supporting Their Jou
Read →1 February 2025 · ArticleUnlock your athletic potential with Athleet.Ai’s Athlete Edition! In a world where performance optimisation is key, this innovative platform uses Artificial Intelligence
Read →1 January 2025 · ArticleTrack and field coaching is evolving, driven by the integration of Artificial Intelligence and data-driven tools. With platforms like Athleet.Ai, coaches can streamline t
Read →1 September 2024 · ArticleEmpower coaches with responsible AI: Athleet.Ai refines track & field performance, fueling progress while preserving the vital human bond for enduring success!!
Read →26 July 2023 · PaperAI puts expert-level planning support in a volunteer’s pocket and hands the best-resourced programmes a compounding advantage. Both happen at once, and the gap can widen
Read →21 June 2023 · PaperA metric can be contested in the literature and uncontested on the screen. The danger in load monitoring is not missing data, it is apparent precision arriving in front o
Read →24 May 2023 · PaperTwo 13-year-olds score 71. One is ten months older and further through her growth spurt. The tool has no way to say that the second score is the stronger signal, and a pl
Read →19 April 2023 · PaperA child cannot consent to uses of their data that nobody can yet describe, and in a selective pathway refusal is never free. The remedy is structural rather than a better
Read →27 February 2023 · PaperCoaching expertise is formed in the gap between a plan and an athlete. A tool that makes the planning decision closes that gap, and the benefits arrive quickly while the
Read →25 January 2023 · PaperA model trained on who was selected learns the pathway that produced it, relative age and early maturation included. Pointed at 12-year-olds, it repeats those distortions
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