Most Zapier workflows break within 90 days of launch. They were never designed to fail. Here's how we build automations that survive contact with reality.
Rule 1: Always add a Filter step after the trigger
Triggers fire for events you don't care about. Adding a Filter (free, native) right after the trigger eliminates 60% of accidental runs and the support tickets that follow.
Rule 2: Use Paths instead of nested Filters
Paths (paid feature) let you handle multiple cases cleanly. Three nested Filters is a maintenance nightmare. One Paths step with three branches is debuggable.
Rule 3: Log every run to a Google Sheet
Add a final step writing every successful run to a Sheet — Zap name, trigger data, action result, timestamp. When something breaks 2 months later, you have a forensic trail.
Rule 4: Catch errors with Error Handler
The "Error Handler" path runs when any step fails. Use it to: 1. Post to Slack so you know immediately 2. Write the failure to a "failures" Sheet 3. Optionally retry the original action
Without an Error Handler, failures silently disappear and you find out from an angry customer.
Rule 5: Set up a Storage value as a heartbeat
Use the Storage app to write "last_run_at" on every successful execution. Then have a separate Zap that runs every hour, reads Storage, and alerts Slack if the timestamp is too old. Catches "Zap silently turned off" issues.
Rule 6: Don't trust webhook formats
When ingesting webhooks (Stripe, Shopify, etc.), always pipe through a Code step that normalizes the shape. APIs change. Code step gives you a single place to adapt.
Rule 7: Test with real production data, not Zapier's samples
Zapier's "Test Trigger" uses cached or fake data. Run a real test event through the live pipe before publishing. We've shipped Zaps that worked in test and crashed in prod because of a missing field in real data.
Bonus: a working template
Trigger → Filter → Code (normalize) → Paths → Action → Storage (heartbeat) → Sheet (log)
This 7-step pattern is what every gig we ship at Nexora uses.
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