Talk to your Garmin data: New AI for smartphones connector nears launch

Garmin smartwatch users get new options for data analysis

The Garmin Chat Connector could open up entirely new possibilities for analyzing data from the Garmin ecosystem - potentially even on smartphones. In principle, the system might offer a way to process large volumes of data independently of the manufacturer.

Silvio Werner (translated by Silvio Werner), Published 03/15/2026 🇩🇪

In Garmin Connect converge various data sets from Garmin wearables - and increasingly also from third-party providers. This data pool offers a detailed overview of training load, performance status, recovery times, and sleep quality. Garmin itself continues to refine how this vast amount of information is presented and clearly organized for the user.

With the Garmin Chat Connector, a new solution has now been announced that aims to enable conversation-based data analysis. According to Rod Trent, the project is already nearing completion. It is not yet officially available and does not come as an official Garmin product.

The Chat Connector complements Garmin Chat Desktop, which allows fully local data analysis through an AI model and natural-language queries. While not a direct mobile version, the Chat Connector builds on existing mobile apps from AI providers. Users receive a private URL that can be configured as a custom connector within AI apps such as ChatGPT or Claude. Currently, 16 tools grouped into five categories are available. These enable, for example, the creation of training summaries for specific time periods. Support for additional AI platforms is planned.

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Rod Trent, image source: Inge Schwabe, Notebookcheck

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Editor of the original article: Silvio Werner - Senior Tech Writer - 16827 articles published on Notebookcheck since 2017

I have been active as a journalist for over 10 years, most of it in the field of technology. I worked for Tom’s Hardware and ComputerBase, among others, and have been working for Notebookcheck since 2017. My current focus is particularly on mini PCs and single-board computers such as the Raspberry Pi – so in other words, compact systems with a lot of potential. In addition, I have a soft spot for all kinds of wearables, especially smartwatches. My main profession is as a laboratory engineer, which is why neither scientific contexts nor the interpretation of complex measurements are foreign to me.

contact me via: silvio39191, LinkedIn

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Silvio Werner, 2026-03-15 (Update: 2026-03-15)

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