<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/e0a579a82dfd43d4b4635e22139fcede&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/e0a579a82dfd43d4b4635e22139fcede-eb15ee38ee809411.gif</thumbnail_url><duration>301.529</duration><title>Tygent Multi-Agent Recruitment AI Demo</title><description>This Loom demonstrates a multi-agent recruitment AI system called Tizen that analyzes resumes against job descriptions. It uploads a resume via drag and drop and shows the resume model, then a recruiter enters the job title, company, and job description and clicks Analyze Candidates, triggering processing by eight agents between the resume and description. The system produces a match score (mentioned as 97 percent), executive summary, stance, areas of improvement, risk analysis recommendations, and 33 technical and non-technical interview questions with expected answers. The speaker also notes the UI updates without WebSockets to reduce server cost and improve efficiency.

Site Link:
https://tygent.vercel.app/</description></oembed>