Choose triggers that fire once and supply a stable ID, like webhook deliveries or payment intents. Avoid polling noisy inboxes without strict filters. When you must poll, combine labels, date ranges, and unique keys to prevent repeats. Normalize calendar event updates to ignore minor changes. Use paths or filters to block incomplete submissions. Append a checksum to entries so reruns are safely ignored. Document trigger behavior so future you understands what counts as new, updated, or deleted data.
Standardize names, phone numbers, and time zones before storing them. Validate emails, strip tracking artifacts from URLs, and confirm consent flags. Convert currencies, round prices, and ensure date formats are consistent. Split full names reliably to avoid embarrassing messages. Use regex or formatter steps to sanitize input, and maintain a reference table for allowed values. When data is clean, your branches, conditional emails, and reports stay accurate. Cleanliness pays dividends in personalization, analytics, and downstream integrations.
Plan for failures. Configure retries with exponential backoff, and add a fallback path that queues problematic records in an Airtable or Google Sheet for manual review. Send structured alerts to Slack with links, context, and suggested fixes. Write a brief incident note after each issue, capturing cause, impact, and prevention steps. Create a monthly reliability review to retire fragile paths and reinforce strong ones. Customers notice when confirmations arrive consistently and invoices reconcile without follow-ups. That consistency builds trust.