06.4 conditions

Conditions

Condition nodes allow a workflow to make decisions at runtime.

Instead of always following the same execution path, a condition evaluates the current workflow context and chooses the next branch based on the result.

Conditions make workflows dynamic and responsive to changing inputs.

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What is a Condition?

A condition evaluates a predicate that returns either True or False.

Conceptually:

Workflow Context

↓

Condition

↙       ↘

True     False

Only one branch continues execution.

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Why Use Conditions?

Without conditions, every workflow follows a fixed sequence.

With conditions, workflows can:

• make business decisions
• validate data
• choose different agents
• skip unnecessary steps
• handle success and failure differently

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Branching Logic

A condition creates two possible execution paths.

Agent

↓

Condition

↙           ↘

Approved    Rejected

Each branch may continue with completely different workflow logic.

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Condition Predicate

A condition uses a predicate function.

Conceptually:

lambda context: True

The predicate examines the workflow context and returns a Boolean value.

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Using Workflow Variables

Conditions commonly evaluate workflow variables.

Example:

Variables

approved = True

↓

Condition

↓

Approved Branch

Variables are usually created by previous workflow nodes.

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Example

A support agent determines whether a request should be approved.

Support Agent

↓

approved = True

↓

Condition

↓

Approval Workflow

If approval is denied:

Support Agent

↓

approved = False

↓

Condition

↓

Rejection Workflow

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Common Uses

Condition nodes are useful for:

• approval decisions
• confidence thresholds
• validation results
• user permissions
• payment status
• inventory availability
• workflow routing

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Multiple Decisions

Complex workflows often contain several condition nodes.

Agent

↓

Condition

↓

Tool

↓

Condition

↓

End

Each decision influences the remaining execution path.

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Condition vs Prompt Logic

Instead of asking a language model to decide what should happen next inside a prompt, BindAI separates orchestration from reasoning.

Prompt Logic	Condition Node
Hidden in prompt	Explicit workflow
Difficult to debug	Easy to inspect
Mixed responsibilities	Clear separation
Hard to reuse	Reusable

This separation makes workflows easier to maintain.

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Context Access

Condition predicates have access to the workflow context.

Conceptually:

Workflow Context

↓

Variables

↓

Condition

↓

Next Branch

This allows decisions to be based on results produced anywhere earlier in the workflow.

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Chaining Conditions

Conditions can be chained together.

Condition A

↓

Condition B

↓

Condition C

This allows workflows to model increasingly sophisticated decision trees.

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Error Handling

Conditions should evaluate predictable values.

If required variables are missing, consider:

• providing default values
• validating input before the condition
• handling unexpected states explicitly

Keeping predicates simple improves reliability.

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Best Practices

• Keep predicates small and readable.
• Base decisions on workflow variables rather than prompt text.
• Avoid embedding business logic inside agents.
• Use descriptive variable names.
• Keep branches easy to understand.
• Prefer several simple conditions over one complex predicate.

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Summary

Condition nodes provide branching logic for BindAI workflows.

By evaluating workflow context and selecting the appropriate execution path, conditions enable workflows to adapt dynamically while keeping business logic separate from language model reasoning.