Workflow node reference

Detect Mood

Understand the mood and urgency of a message. Exact configuration, outputs, execution behavior, errors, limits, and examples for the Detect Mood workflow node.

Automation buildersIntermediateAvailable

What this guide covers

Category: AI.
Use it to estimate the tone or mood of text and branch or prioritize follow-up.
1 configuration fields and 3 documented outputs.
Tone is culturally and contextually ambiguous.

What this node does

Understand the mood and urgency of a message

Use it to estimate the tone or mood of text and branch or prioritize follow-up.

When not to use it

Do not use it to diagnose a person, infer protected traits, or make a final eligibility decision.

Prerequisites

Representative text input
A defined operational use for the output
Human review for sensitive escalation

Check before configuration

Representative text input. A defined operational use for the output. Human review for sensitive escalation

Inputs and configuration fields

Detect Mood configuration fields
Field	Key	Control / type	Requirement	Default	Accepted values and behavior
`Message to Analyze`	input	variable-input	Required when shown	{{context.message.content}}	Value accepted by the displayed control. Variables supported

Configure the node

Drag Detect Mood from AI in the node palette.
Select the node to open its configuration drawer.
Complete every required field and any conditional field revealed by your choices.
Insert variables only from the current trigger or an earlier node on the same path.
Connect every required output handle to the intended next step.
Save and run Workflow Test with representative data before activation.

Outputs

Later nodes can use these values only after this node has run successfully on the same execution path.

Detect Mood output variables
Variable	Type	Meaning
`{{nodes.ai_sentiment.sentiment}}`	string	positive, negative, or neutral
`{{nodes.ai_sentiment.urgency}}`	string	low, medium, high, or critical
`{{nodes.ai_sentiment.emotions}}`	array	Detected emotions like happy, angry, confused

Execution behavior

Analyzes the supplied text.
Emits mood/sentiment, score/confidence, and related output fields defined by the node.
Runs for real during Test.

Retries and usage

AI nodes run for real during Workflow Test and can consume billable AI usage. Do not assume an automatic retry unless the execution record explicitly shows one.

Example use case

Prioritize an urgent human handoff when an inbound support message appears strongly negative.

Complete workflow pattern

text

Message Received → Detect Mood → Condition → Human Handoff / AI Response

Common errors

Detect Mood common errors
Symptom	Resolution
`Tone is misread`	Use more context and avoid acting on mood alone.
`Input is empty`	Check the selected message variable.

Limitations

Tone is culturally and contextually ambiguous.

Always combine with business rules and human judgment where consequences matter.

Current product limits

Tone is culturally and contextually ambiguous. Always combine with business rules and human judgment where consequences matter.

AI features, privacy, and human reviewUse Yanola Agent, AI Response, Classifier, Extract Info, Detect Mood, and AI-assisted Function drafts responsibly.ConditionBranch based on conditions (if/else). Exact configuration, outputs, execution behavior, errors, limits, and examples for the Condition workflow node.Human HandoffStop execution and hand off the conversation to a human. Exact configuration, outputs, execution behavior, errors, limits, and examples for the Human Handoff workflow node.

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