{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/6ba0672fa12141c9bec4b33d3884296d\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/6ba0672fa12141c9bec4b33d3884296d-d49f236867295b03.gif","duration":95.742,"title":"Real-Time Guest Feedback Sentiment Automation Workflow","description":"In this Loom, I show my automated feedback analysis workflow to analyze guest feedback in real time using AI, detect sentiment, generate summaries, and alert staff to negative responses. I use Google Forms for data collection, Google Gemini for structured JSON output, Make for automation, a JSON module, Google Sheets, and Gmail. Gemini returns sentiment categories and a short summary, and Sheets updates the correct row by timestamp. If sentiment is negative, Gmail sends an immediate alert. I also address Gemini availability with paid plans, alternative models, and fallbacks."}