Overview
How might we design conditional logic & branching so people can trust and act on AI output?
When this pattern fits
- Ideal for automation platforms, workflow tools, and integration systems where conditional branching enables intelligent, adaptive automation workflows.
When to skip or lighten it
- Single-step prompts with no branching need.
- Flows so complex that a visual graph becomes unmaintainable—split into subflows.
- High-stakes decisions that still need a human gate at every branch.
States
State model coming soon
Key UX elements
Key UX elements coming soon
Anti-patterns to avoid
Hidden branches that fire with no preview in the builder.
Conditions written only in code with no readable summary.
Infinite loops with no max-iteration guard.
Branch labels that do not match the actual predicate.
How products use it
| Product | Implementation |
|---|---|
| Zapier | Paths and filters that branch automations on field values. |
| Make | Routers and conditional modules in scenario graphs. |
| n8n | IF and Switch nodes in workflow canvases. |
| IFTTT | Simple conditional applets for consumer automations. |
Implementation
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Pattern Definition:Frequently asked questions
What is conditional logic in agent UX?
It is branching in a workflow: based on a condition (score, intent, tool status), the agent takes path A or B instead of one linear script.
How should conditions be shown to users?
In plain language next to the node (“If confidence < 0.6 → escalate”), with a test/simulate mode when possible.
How does this differ from plan-and-execute?
Plan-and-execute lays out steps for one goal. Conditional logic decides which steps run based on runtime signals.
What safety rails belong here?
Max branch depth, loop limits, and mandatory human approval on high-impact branches.