OpenAI Spiritual Weight Analyzer n8n Workflow Sub-Workflow

Instant “Spiritual Weight” Scoring with OpenAI—Built for n8n Sub-Workflows

This OpenAI Spiritual Weight Analyzer n8n sub-workflow takes a question from your parent workflow, uses an OpenAI chat model to score its “spiritual weight,” classifies its tone and topic, and returns a clean, normalized JSON payload for downstream decision logic.

What this workflow does

• Receives input from a parent workflow, including a question and a sessionId.
• Calls OpenAI with strict instructions to return a JSON-only analysis containing a weight, tone, category, and energy.
• Parses and sanitizes output, removing any code-block formatting if present.
• Fails safely: if JSON parsing fails, it falls back to default values rather than breaking your automation.
• Normalizes results by clamping spiritualWeight to the 0.0–1.0 range.
• Returns structured JSON including the original question, sessionId, and the fields your workflow can use: spiritualWeight, spiritualTone, cosmicCategory, and questionEnergy.

Use cases

• Routing logic: direct user questions to different follow-up flows based on spiritualWeight, tone, or cosmicCategory.
• Content qualification: flag high spiritualWeight queries for specialized handling in an n8n automation pipeline.
• Conversation analysis: attach session-level analytics via sessionId and reuse results in downstream decision logic.

Technical details

• n8n sub-workflow designed to be called by a parent workflow.
• OpenAI integration using an OpenAI chat model configured with your OpenAI API credential.
• Uses n8n components including code (JSON handling/clamping), sticky note (documentation), n8nn8n-nodes-langchainagent, and n8nn8n-nodes-langchainlm chat open ai.
• Includes an execute workflow trigger pattern to integrate cleanly into larger automation workflows.

Perfect for n8n users, automation engineers, and SaaS operators who need reliable, normalized OpenAI-powered analysis inside an automation workflow.