STAS knowledge base

Athlete Summary

The Athlete Summary is the training context STAS keeps ready for ChatGPT and Claude. It combines your profile, goals, rules and long-term strategy with real training data: current condition, training load, running benchmarks, workout history and wellness signals. Instead of starting each chat from a few screenshots or a short explanation, your AI coach gets a clear view of where you are now and what matters for your training.

STAS updates this context as new workouts, reports, notes, plans and profile changes appear. The better your goals, rules and strategy are filled in, the more useful the summary becomes in every new conversation.

What it is

The Athlete Summary is the main context layer in STAS. It is not a separate report and not a coaching answer by itself. It is the information STAS prepares so ChatGPT and Claude can understand your training before they respond.

Not just workout data

Your watch can show what you did: distance, duration, pace, heart rate, power and load. But training decisions also depend on things your watch does not know: your goals, constraints, preferred schedule, recent reports, long-term strategy and how you actually felt after key sessions.

The Athlete Summary brings those layers together.

When it updates

STAS rebuilds the summary when new context appears: a completed workout, a post-workout report, a calendar note, a plan change, a profile update, a new goal, a rule change or a strategy update.

A prepared version is kept for a short time and refreshed when new data comes in. That keeps the context fast to load while still staying current.

What it includes

The Athlete Summary can include several layers of context. Some come from your watch and Intervals.icu. Others come from what you save in STAS.

Main layers

When available, the summary includes:

profile — stable athlete information such as height, weight, resting heart rate, training background, personal bests and other sports;
goals — races, dates, target results and longer-term training goals;
rules — schedule limits, rest days, preferences and constraints that should shape future plans;
strategy — the long-term logic of your preparation and whether it still fits the latest context;
sport profile — your main sport and recent training volume across running, cycling, swimming and other activities;
running benchmarks — current VDOT, estimated training paces, recent best efforts and confidence in those numbers;
current condition — training load, fatigue, form and recent trends;
weekly history and season context — how your training has developed over recent weeks and across the season;
recent workouts — the latest sessions with key load data and report status;
wellness — sleep, HRV, resting heart rate, weight, readiness, mood and fatigue when available.

Why the extra context matters

Metrics alone do not explain the whole athlete. Two people can have similar training load and completely different goals, constraints and recovery patterns.

The more useful context you add, the less the AI has to guess. The summary starts to describe your actual training situation, not just your latest numbers.

What may be missing

The Athlete Summary also helps STAS show where the context is still incomplete.

What STAS checks

STAS can see when important pieces are missing. For example:

your profile is empty or only partly filled;
there are no saved goals or training rules yet;
you have many workouts, but no post-workout reports. This helps ChatGPT and Claude avoid treating missing information as known.

Detailed workout data is loaded separately

The summary gives the overview. It does not contain the full archive of every workout. When a deeper analysis is needed — intervals, splits, heart-rate zones or detailed workout files — ChatGPT or Claude can load those details separately. Planned workouts are read from the calendar when they are needed.

This keeps the Athlete Summary compact, while still allowing deeper analysis when the question requires it.

Where the data comes from

The summary is built from two kinds of sources: data that comes from your training tools and context you add yourself.

Data sources

STAS can use:

completed workouts from Intervals.icu: sport, duration, distance, pace, heart rate, power and training load;
Fitness, Fatigue and Form, recalculated by STAS from completed training;
post-workout reports written in Telegram or on the workout page;
calendar notes about illness, travel, missed sessions, rescheduled workouts or other important context;
profile, goals, rules and strategy saved in STAS;
wellness data such as sleep, HRV, resting heart rate, weight, readiness, mood and fatigue when available.

Numbers plus human context

Workout data gives the facts. Human context explains what those facts mean.

A high heart rate might be heat, fatigue, stress, poor sleep, terrain, a hard group run or a sensor issue. A workout report or note can make that clear. Without that context, AI has to infer too much from the numbers alone.

How it reaches ChatGPT and Claude

The Athlete Summary is sent to ChatGPT or Claude when you ask STAS to refresh your data.

How to ask for it

At the start of an important conversation, ask:

“Refresh my data.”

STAS will send the latest Athlete Summary to the chat: profile, goals, rules, strategy, running benchmarks, current condition, load, history and wellness. You can then ask for workout analysis, plan changes, a weekly review or a new training plan.

What the AI receives

With the Athlete Summary, ChatGPT or Claude can understand:

who you are as an athlete;
what you are training for;
what rules and constraints matter;
what long-term strategy should guide the plan;
what pace and performance benchmarks are available;
what is happening now with load, fatigue, form and wellness.

One context across chats

The context is stored in STAS. That means ChatGPT and Claude can work from the same updated training context instead of losing it between conversations.

You can use ChatGPT, Claude or both. The Athlete Summary comes from the same STAS data.

Why it matters

Without a shared context, AI only sees the message you just wrote. The Athlete Summary gives it the background it needs to make better training decisions.

No more rebuilding the context every time

You do not need to explain your recent training, goals, limitations and current state from scratch in every chat. Save your profile, goals, rules and strategy once, keep adding workout reports when they matter, and STAS keeps that context ready for the AI.

Better input leads to better answers

Every useful layer you add — a goal, a rule, a strategy, a report — makes the summary more specific to you. That helps ChatGPT and Claude give advice that fits your actual preparation, not a generic athlete profile.

Limits

The Athlete Summary improves the context, but it does not make STAS a doctor, a human coach or an autonomous decision-maker.

Important limits

STAS does not diagnose medical conditions and does not replace a doctor.
The summary is context for analysis, not the final decision. You remain responsible for your training choices.
STAS does not invent missing data. If your device did not record a metric, it will not appear in the summary.
One number should not drive a strong conclusion by itself. Training history, trends, reports, plan and recovery all matter.
Running benchmarks and metrics are estimates based on available data, not guaranteed results.
STAS does not read your full ChatGPT or Claude history. Only information saved in STAS becomes part of the summary.

Still only a model

Even a detailed summary is not complete knowledge of your body. It is a useful model of your training based on available data. Add reports when they matter, and check AI recommendations against how you actually feel.

FAQ

Short answers to common questions about the Athlete Summary.

How is this different from condition?

Condition is the current snapshot: load, fatigue, form, recent workouts and recovery signals. The Athlete Summary is broader. It includes condition, but also profile, goals, rules, strategy, benchmarks, training history and wellness.

Do I need to fill in everything at once?

No. Start with the parts that affect training most: goals, important rules and basic profile information. Strategy and more detailed context can come later.

Does STAS remember my ChatGPT or Claude conversations?

No. STAS does not store your full chat history. If something should be available in future conversations, it needs to be saved in STAS as profile information, a goal, a rule, strategy, a calendar note or a workout report.

How often should I refresh it?

Ask to refresh your data at the start of an important conversation, or after something changes: a new goal, updated rule, recent workout report or completed week.

What if my profile, goals and rules are empty?

STAS can still build the summary from workout data: completed sessions, load, condition and history. But without your own goals, rules and strategy, the AI sees mostly metrics and has less context for planning.

Can I see the summary outside the chat?

Parts of it are visible in your profile, workouts and the STAS Telegram bot. The full Athlete Summary is mainly prepared for ChatGPT and Claude when you ask to refresh your data.

What to read next

The Athlete Summary works best with the other STAS context layers.

Make the summary more useful

Add your goals, rules and strategy to your profile, and leave short reports after important workouts. Then ChatGPT and Claude will receive not only your training load, but the context needed to understand it.

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