AI Automation Workflows: Zapier, Make & n8n
Lesson 2 of 7
0%Lesson 2
20 min
Designing Workflows That Don't Break: Patterns and Anti-Patterns
Quick Summary
Reliable workflows use small steps, explicit data contracts, idempotent actions, bounded AI outputs, and visible exception paths. Fragile workflows hide assumptions inside one long chain.
What you will learn
- Apply reliable workflow patterns to inputs, AI steps, actions, and retries
- Identify anti-patterns that cause silent errors or duplicate actions
- Define a data contract and exception path for a multi-step flow
Intermediate Content
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Designing Workflows That Don't Break: Patterns and Anti-Patterns 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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