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        <title>I Built a Deep Research Agent that WORKS (Flowise Tutorial)</title>
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        <description>This video demonstrates how to build a powerful deep research agent flow using Flowise that actually works effectively. Learn to create a multi-agent system with a planner orchestrator that spawns specialized subagents for targeted research tasks, uses iteration nodes to process multiple research queries simultaneously, and generates comprehensive reports with proper citations. The tutorial covers integrating web search tools, web scrapers, and research databases while implementing conditional logic to determine when additional research is needed, creating a robust automated research workflow that produces detailed, well-sourced reports. 🙏 Support My Channel: Buy me a coffee ☕ : https://www.buymeacoffee.com/leonvanzyl PayPal Donation: https://www.paypal.com/ncp/payment/EKRQ8QSGV6CWW 📑 Useful Links: Flowise Cloud: https://cloud.flowiseai.com/register?via=leonvanzyl Flowise v3 Playlist: https://www.youtube.com/playlist?list=PL4HikwTaYE0FFKifDJcgnP23LjGAZjzL8 🕒 TIMESTAMPS: 00:00 - Introduction to Deep Research Agents 00:38 - Problems with Existing Research Models 01:33 - Anthropic's Multi-Agent Research System Theory 02:33 - FlowWise Implementation Overview 05:42 - Setting Up Form Input and Flow State Variables 07:28 - Iteration Node Demo and How It Works 11:00 - Building the Planner Agent with JSON Output 13:00 - Creating Research Subagents with Tools 14:00 - Adding Tavily API and Web Scraper Tools 16:00 - Testing Individual Subagent Performance 17:00 - Building the Writer Agent for Report Generation 19:00 - Adding Condition Agent for Quality Control 20:33 - Implementing Loop Back Logic to Planner 22:00 - Final End-to-End Workflow Testing 23:30 - Results and Conclusion #flowise #aiagents #deepresearch</description>
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