MindStudio University
  • Documentation
  • Video Courses
  • Newsroom
  • Video Courses
  • 1: Core Building Principles
    • Intro to AI Agents & MindStudio
    • AI Editor Overview
    • Building Your First AI Agents
    • Building an AI Agent for the Chrome Extension
    • Testing & Debugging Basics
    • Designing User Inputs & Forms
    • How to Scrape Web Data for AI Agents
    • Chaining Multiple Blocks Together in AI Agent Workflows
    • How to Generate Content & Media with AI
    • How to Choose the Right AI Model
    • Prompt Writing 101
    • Using Integration Blocks to Connect to External Services
    • Creating & Using Data Sources
  • 2: Workflow Mastery
    • Building AI Agents that Run on a Schedule
    • Using Launch Variables & Global Variables in Workflows
    • Routing, Logic, & Checkpoint Blocks
    • Advanced Testing Using Evaluations
    • Running Blocks in Parallel for Workflow Optimization
    • Working with Structured Data (JSON)
    • Running Sub-Workflows to Iterate and Process Data With AI
    • Creating Dynamic User Inputs
    • How to Generate HTML Assets for Your AI Agents
  • Masterclass Sessions
    • AI Agent Zero to Hero Masterclass (Beginner)
    • AI Agent Monetization Masterclass
    • AI for Content Marketing Masterclass
    • Deep Research Masterclass
    • AI Agents In-Depth Masterclass
    • AI Agents for Partnerships Masterclass
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  1. Masterclass Sessions

Deep Research Masterclass

Learn how deep research works

Last updated 2 days ago

In this deep-dive session, we break down how Deep Research works, how itโ€™s built, and how you can use it to automate competitive analysis, summarize vast sources, generate insights, and more โ€” all with minimal human input.

๐Ÿš€ What Youโ€™ll Learn:

โœ… What makes Deep Research a next-gen AI Agent โœ… The architecture behind its autonomous workflow system โœ… How it searches, filters, evaluates, and compiles information โœ… Real demos of Deep Research in action โœ… Tips to build or customize agents like this for your own use cases