Fix · Multi-platform
Why Did My Automation Stop? The Complete Diagnostic Guide
Automation stopped and you have no idea why? Walk through every possible cause across all major platforms.
Quick diagnostic
Three things to check first
Check the trigger
Look at the last successful run. If the trigger hasn't fired since, the issue is upstream — a webhook URL changed, a cron schedule was edited, or the source system stopped sending events. Start here before you look at the workflow itself.
Check the credentials
OAuth tokens expire quietly. API keys get rotated by a teammate who didn't know they were in use. A service account password changes upstream. Re-connect the integration that touches the step where the chain broke and try again.
Check the logs
Open the most recent failed run. The first red step is where the chain broke — usually a field name that changed in the source data, a rate limit that kicked in, or a timeout talking to a downstream service. Fix that one step and the rest of the chain usually recovers on the next run.
An automation that stopped running — n8n workflow, Make scenario,
Zapier Zap, vibe-coded backend job — falls into one of a small
number of root causes. Working through them in order gets you
from "it broke" to "I know what to fix" in five minutes instead
of an hour.
Start with the platform's execution history. If it's empty for
the window you care about, the trigger itself stopped firing.
That points at an expired credential on the trigger (most
common), a webhook URL that rotated, or a scheduling setting
that drifted. If the history is full of red runs, the trigger
fires but something downstream errors — open the first failing
step and read the error. If the history shows green runs that
produced nothing useful (zero operations, empty output), you're
in silent-failure territory.
Silent failures have their own pattern: a source system changed
a field name or value, a permission scope got narrower, a
filter no longer matches, or a downstream API started returning
empty arrays. The fix is always at the source, not in the
automation itself. Compare today's trigger output against an
old successful run — if the shape changed, that's your bug.
Platform-level causes make up a smaller share of stops but
when they hit they hit hard. Running out of tasks or operations
stops every automation on the account at once. The provider
auto-pausing a broken flow after repeated errors stops just
that flow. The platform itself going down (check the status
page) stops everyone on the platform. Each looks different in
the symptom and each has a different fix — which is why
reading the execution history is always step one.
The pattern
Most of these fail quietly.
Here’s the pattern: most automation and vibe-coded apps fail quietly. No alert, no error — just silence, until a customer notices. NoCrash watches your tools from outside and tells you in plain language, every morning, what ran clean and what didn’t. Peace of mind, not a log dump.
Stop finding out from your customers.
One morning message telling you what ran clean and what didn’t. Free forever on 3 things to watch.
Common questions