AI Automation Workflows: Zapier, Make & n8n
Lesson 7 of 7
0%Lesson 7
20 min
Monitoring, Error Handling, and Cost Control
Quick Summary
Production workflows need observable runs, classified failures, safe recovery, and cost budgets. Monitoring should tell an operator what happened, what was affected, and what action is required.
What you will learn
- Define operational metrics, alerts, and ownership for an AI workflow
- Classify errors by retryability, business impact, and recovery path
- Control usage through budgets, limits, model routing, and input design
Intermediate Content
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Monitoring, Error Handling, and Cost Control is part of AI Automation Workflows: Zapier, Make & n8n — an intermediate module. We keep these gated so we can save your progress, recommend next steps, and personalize the curriculum.
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