{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/36213fda55af4fd2829f19d726ef1957\" frameborder=\"0\" width=\"1680\" height=\"1260\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1260,"width":1680,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1260,"thumbnail_width":1680,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/36213fda55af4fd2829f19d726ef1957-d9ce0c579c6f0903.gif","duration":1023.339,"title":"AlphaLens AI Equity Research in 90 Seconds 🚀","description":"In this Loom I built AlphaLens, an AI-powered equity research platform that compresses the full professional workflow into about 90 seconds, per stock. It uses six Landgraf agents powered by Google Gemini, pulling SEC 10K, financials, live market data, and federal rate data in parallel, then running DCF and citation analysis, followed by a verification and synthesized report. The verification agent extracts quantitative claims, cross-checks them against filing text, and assigns an evidence-based confidence like medium, with direct citations and risk flags. There was no action requested from viewers, but the source code, docs, eval framework, and web UI are on my GitHub."}