An AI coach that builds your program and adapts it as you train

AI coaching platform that syncs Strava activity summaries to generate periodized, adaptive training programs for multi-sport athletes

Strava integration working· checked Jul 2026
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What is Pelaris?

Pelaris is an AI coaching app that generates a personalised, periodized training program and then adjusts it as you go, based on your performance, fatigue, and goals. It connects to Strava to pull in your activities so the coach understands your actual training load without you logging anything by hand. It runs in the browser at coach.pelaris.io, and it's built by Bradley Hunt out of Melbourne, Australia.

"AI coach" is a crowded category and a lot of it is fluff, so it's worth being specific about what this one actually does. The program isn't static. Each session you complete feeds the next one, so volume, intensity, and exercise selection shift over time rather than following a fixed plan.

Key Features

Adaptive periodized programs

Pelaris builds a structured, periodized program for your goals and adjusts it in real time. It describes the generation as a multi-stage LLM pipeline covering athlete profiling, methodology, periodization, session construction, and exercise prescription. Hit a PR or miss a week and the program reacts.

Strava import, summaries only

This is the part worth flagging. Pelaris imports activity summaries only, meaning sport type, duration, distance, heart rate, and pace. Per its own site, it "never accesses GPS routes or raw location data." So the coach sees your training load, not where you ran. That's a more privacy-conscious approach than a lot of Strava connectors take.

Multi-sport in one program

It handles strength, running, swimming, cycling, triathlon, Hyrox, CrossFit, tennis, and more, and it can run several of them inside a single cohesive program rather than treating each sport as a separate plan. Useful if you're a hybrid athlete juggling lifting and endurance.

Set tracking and PR detection

For strength work it does real-time set tracking with progressive overload, and weights auto-adjust based on your last session. It also detects personal records automatically and feeds that back into the program.

Claude and ChatGPT integration via MCP

Pelaris exposes a Model Context Protocol server, so you can drive it from Claude or ChatGPT. The site lists 21 tools available through it, covering things like daily check-ins, swapping exercises, and generating a full program from inside the chat.

Who it's for

Pelaris fits self-coached hobbyist athletes who want structure without paying for a human coach, especially people training across more than one sport. Hybrid and multi-sport athletes are the clearest fit, since the single-program approach is the differentiator. If you mostly want raw analytics rather than told-what-to-do programming, a platform like intervals.icu is a better match.

Made Pelaris?

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Pelaris — Maker verified on Apps for Strava
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