Deep Research AI Agent Masterclass
AI Summary
Summary of Masterclass on Deep Research by Dimmitri
Introduction
- Dimmitri, CEO of Mind Studio, discusses the concept of “Deep Research”.
- Explanation of its significance compared to traditional research methods like Google searches and CHAT GPT.
Understanding Deep Research
- Deep Research involves a more in-depth analysis than just finding quick answers.
- Comparison between expert mode (quick answers) and business consultant mode (detailed analysis).
Key Differences
- Expert: Quick answers without sources.
- Business Consultant: Takes time to research thoroughly, providing well-structured insights.
Process of Deep Research
- Clarification: Understand the ambiguity in user prompts.
- Source Identification: Find credible sources to answer the user’s query.
- Data Analysis: Analyze collected data to produce concise reports.
Tools and Platforms for Research
- Overview of tools like Gemini Google, Perplexity, and OpenAI that are comparable to Mind Studio’s Deep Research capabilities.
Usage Examples
- Mind Studio’s deep researcher can handle complex inquiries about products, market analysis, and customer demographics effectively.
- Demonstration of generating competitive analysis reports using AI agents.
Call to Action
- Encouragement to explore Deep Research for various applications, with emphasis on the advantages of integrating AI.
- Invitation to participants to share their findings and insights from using the platform, fostering community learning.
Conclusion
- Distinction between quick, surface-level information checks and deeper, analytical insights provided by AI tools.
- Highlighting the revolutionary capabilities of Deep Research in making informed business decisions.