Continue reads athlete session history and returns a clear read on what is forming underneath. Not times. Not loads. Whether an athlete is building something sustainable — or drifting toward invisible wear before anyone notices.
Your platform tracks what athletes do. Continue adds a layer that tells coaches what is building underneath that data. One API call. No new app for athletes. No new infrastructure for you.
POST a block of recent sessions from your platform. Dates, completions, execution quality, subjective feel.
Continue returns a signal type, a headline, and two paragraphs a coach can actually use. Structured JSON.
Render it how you want. Inside your existing interface. No new screens required.
Every response includes a signal type, a short headline, an honest read of what the data is showing, and one specific thing to protect. Here is an example.
8 of 10 sessions completed in full over 6 weeks, execution reported as clean in 7 of those. Subjective feel consistently positive — sharp, motivated, strong across the last 3 weeks. Pattern is anchored and the taper is showing as intended reduction, not drift.
Taper is working. Resist the urge to add intensity this week. The rhythm is set.
POST session data to https://connect.continue.fit/signal. Get back structured JSON. The field names are flexible — Continue normalises common variants automatically.
The interactive demo lets you test with real data without writing any code.
The demo runs live against the same API your integration would use. Paste in real sessions and see what comes back.
Test the signal