{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/0278e45072694b4a95ac3880d1c6184d\" frameborder=\"0\" width=\"1670\" height=\"1252\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1252,"width":1670,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1252,"thumbnail_width":1670,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/0278e45072694b4a95ac3880d1c6184d-42805199e9a95c70.gif","duration":122.687,"title":"AI Agent - Twitter Sentiment Analysis Workflow","description":"In this video, I explain a workflow designed to search for specific tweets on Twitter based on a given term. Once the tweets are collected, we analyze their sentiment and decide whether to retweet or reply to them accordingly. This process runs every hour, handling up to 50 tweets, which can significantly enhance customer support for businesses. I encourage you to consider how this workflow could be beneficial for our operations."}