Zapier · per zap

Zaps that don't break in week three.

Anyone can drag two boxes together in Zapier. The hard part is what happens when the upstream API rate-limits, the field shape changes, or a record violates your assumptions. We build zaps that handle the failure cases — with logging, alerts, and recovery — so they keep running after you forget about them.

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What "production-ready" means in our zaps.

RELIABILITY

Conditional logic, not just trigger → action

Filters, paths, formatters. The zap branches based on real data, not hopes.

RECOVERY

Retry + dead-letter queue

Transient failures retry. Permanent failures land in a Slack alert with full payload — not silently lost.

VISIBILITY

Logged to a Sheet you control

Every run logs trigger, transform, output, status. You can audit any record's path without spelunking Zapier's task history.

OBSERVABILITY

Slack alert on anomaly

If success rate drops below 95% in any 24h window, you get a ping in Slack with the failing payload pattern.

DOCUMENTATION

Runbook handoff

You get a written one-pager: what the zap does, what triggers it, what to do when it breaks. So your team doesn't need us to maintain it.

VOLUME

Tier-aware

If your task volume forecasts above 100k/month, we redesign — moving heavy lifting to n8n or a serverless function and using Zapier only at the edges.

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