Every 15 minutes
Get short coaching notes after each workout
After every upload you receive a three-line review of pace, heart rate and effort.
- Runs
- Every 15 minutes
- Apps
- Strava
- AI
- Yes, uses the built-in AI allowance
- Access
- activity:read_all
Send this to your assistant
Create a ClickRuntime automation: when I upload a new Strava activity, email me a 3-line AI review of my pace, heart rate and effort compared with my usual sessions.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
A runner training for a spring marathon logs a tempo session on Strava, glances at the pace graph, and has no idea whether it was too hard for a Tuesday. A coach would say so within minutes, but a coach costs money and most recreational athletes train alone. Without feedback, easy days drift faster and hard days get skipped.
Every 15 minutes, ClickRuntime checks Strava for new activities and ignores ones it has already handled by ID. For each new run or ride it pulls the details, such as distance, moving time, average heart rate and elevation, and asks ClickRuntime's built-in AI to write a short note: what went well, what to watch and how to approach the next session. The note is emailed to you.
It works for self-coached runners, cyclists and triathletes who want a quick second opinion without a subscription.
What you get out of it
Feedback arrives while the workout is fresh
A note within the hour is still useful: you remember how the legs felt and can compare it with the data. Advice read days later rarely changes behavior. Feedback tied to a real session sticks better than generic advice.
Easy days get protected
When the note points out that your average heart rate on a recovery run was in tempo territory, you hear it before the pattern becomes an injury. Training stays polarized the way the plan intended.
No extra subscription or API key
The writing step uses ClickRuntime's built-in AI, so you do not need to buy another service or manage a model key. The cost of coaching-style comments stays low. There is nothing to set up beyond your Strava connection.
Patterns surface across weeks
Because each activity gets its own note, repeated themes show up in your inbox: pacing too fast early, skipped warm-ups, climbing volume. Spotting them is the first step to fixing them.
Each workout leaves a written record
The emails build a searchable training diary with context on how sessions felt and what the data suggested, handy when you review a build before a race. Looking back is far easier when each session already has a note.
How it works
What happens, step by step
Every 15 minutes, ClickRuntime checks Strava for activities you have uploaded.
It skips any workout it has already reviewed, so each one gets feedback only once.
For each new workout it fetches the full details, and AI compares the pace, heart rate and effort with your recent sessions.
You get an email titled after the activity with three short coaching notes.
Before it runs live
- Connect Strava
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Act only on the items that match your own rules, and skip the rest
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Slack
- Combine it with other Strava steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_trigger, credentials, http, state, ai, notify, report_fetched
API = "https://www.strava.com/api/v3"
@on_trigger
def run(event):
h = {"Authorization": f"Bearer {credentials.connection('strava', 'personal')}"}
recent = http.get(f"{API}/athlete/activities", headers=h, params={"per_page": 20}).json()
seen = set(state.get("seen") or [])
new = [a for a in recent if a["id"] not in seen]
report_fetched(len(new))
if not new:
return {"new": 0}
usual = [f"{a['sport_type']} {a['distance']/1000:.1f}km {a['moving_time']//60}min HR {a.get('average_heartrate')}"
for a in recent if a["id"] in seen][:10]
for a in new:
d = http.get(f"{API}/activities/{a['id']}", headers=h).json()
review = ai.generate(
f"New: {d['sport_type']} {d['distance']/1000:.1f}km in {d['moving_time']//60}min, "
f"avg HR {d.get('average_heartrate')}, suffer score {d.get('suffer_score')}.\nUsual:\n" + "\n".join(usual),
system="You are a running coach. Reply in exactly 3 short lines: pace, heart rate, effort.",
max_output_tokens=150).text
notify.email_me(f"Coach notes: {d['name']}", review)
state.set("seen", [a["id"] for a in recent])
return {"reviewed": len(new)}FAQ
Common questions
Does it comment on every activity type, including walks and swims?
Will the same workout get feedback twice?
Is this a replacement for a human coach?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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