Overview This workflow, "Mood Graph Studio," offers a comprehensive solution to track and visualize your emotional well-being. By simply inputting a single sentence about your mood, this template uses AI to perform a sentiment analysis, generates a visual graph via Wolfram Alpha, provides personalized feedback, and logs everything to Google Sheets. It is designed for anyone interested in mindfulness, self-reflection, or quantified self-tracking. How It Works The workflow is divided into two main API functionalities and a manual trigger for easy testing. Analyze a Single Mood ( /mood endpoint) An AI Agent (OpenAI) quantifies your mood text into valence (positivity) and energy (activity). A query is sent to Wolfram Alpha to generate a simple linear graph based on the score. A second AI Agent provides short, encouraging advice in Japanese. The complete entry is logged as a new row in Google Sheets . Returns a JSON response containing the full analysis and the graph image. Generate Mood History Graph ( /history endpoint) Retrieves historical mood data for a specified user from Google Sheets. A Code node formats the data into a time-series plot query. Wolfram Alpha generates a line graph visualizing the mood trend over time. The resulting graph is automatically posted to Slack . How to Set Up 1. Credentials You must add your own credentials for the following services in the respective nodes: OpenAI : Used in both Chat Model nodes. Google Sheets : Used in the "Log Mood" and "Get History" nodes. Slack : Used in the "Send History" node. 2. Wolfram Alpha App ID This workflow uses the HTTP Request node to call the Wolfram Alpha API. Get a free App ID from the Wolfram|Alpha Developer Portal . Paste your App ID into the appid parameter value in both Generate...Graph nodes. 3. Google Sheet Configuration Create a new Google Sheet. Paste the Sheet ID into the Document ID field in both Google Sheets nodes. Crucially , ensure the first row has the following headers exactly (case-sensitive): userId , moodText , valence , energy , createdAt , wolframQuery , feedback How to Use For Testing: Use the Manual Trigger . Modify the sample text in the "Set Test Data" node and click "Execute Workflow" on the canvas. For Production: Activate the workflow. Send POST requests to the Production URL of the Webhook nodes.