Athleet.AI Performance Intelligence Series
The Augmented Golfer
AI across technique, practice, strategy and player development
Founder and Chief AI Officer, Athleet.AI
Abstract
Golf's problem is not a shortage of data. It is that almost none of it accumulates into a picture of a player. Sessions are measured densely and then discarded, devices disagree with one another, and the numbers most confidently displayed are the ones with the weakest published support. This paper argues that the useful contribution of artificial intelligence in golf is continuity rather than diagnosis. A system earns its place by remembering what a player was working on and why, by comparing them against their own history rather than a model swing, by stating the error on the numbers it reports, and by respecting a line the Rules of Golf have already drawn. It argues equally firmly against several product categories that are currently easy to sell.
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BibTeX
@techreport{forrest2026theaugmented,
author = {Forrest, Paul},
title = {The Augmented Golfer: AI across technique, practice, strategy and player development},
institution = {Athleet.AI},
series = {Athleet.AI Performance Intelligence Series},
year = {2026},
month = {04},
pages = {32},
url = {https://papers.ecaveo.com/the-augmented-golfer-ai-golf-coaching/}
}