From Prompt to 19-Page Report with Deep Research

Imagine being able to hire a team of PhDs every time a tough question comes up—gathering the latest research, market data, and news, then turning it into a clear, actionable report. That is what *deep research* makes possible: AI “labor” that works autonomously on complex tasks, so leaders can focus on strategy instead of manual research. In this lecture, part of a free course preview, learners explore how deep research works behind the scenes, why it’s different from a standard AI chat, and how to use it for market analysis, strategic planning, and better decision-making. See how an agentic system asks clarifying questions, searches the web in depth, follows promising threads, and produces a long-form, fully cited report. This video is a lecture from a Vanderbilt University course in the *Generative AI Strategic Leader Specialization* and is part of a free course preview. Enrolling in the full course unlocks structured lessons, hands-on practice, and guided frameworks to help leaders systematically apply generative AI and agentic tools to real business challenges. ⏱️ Chapters 00:00 – Imagine hiring a team of AI PhDs 01:10 – A real example: market research on prompt engineering courses 02:26 – Why Deep Research starts with clarifying questions 03:49 – Agentic AI and how Deep Research takes action 05:10 – Watching the research process unfold in real time 06:26 – Following information threads for deeper insights 07:31 – Long-form reports, citations, and reducing hallucinations 09:15 – Comparing Deep Research to standard GPT-4 outputs 10:46 – From AI “labor” to better strategy and decisions 12:20 – Using Deep Research as a leader, not a replacement 13:05 – Welcome to the course on Deep Research 📚 Keep learning This lecture is part of a full course on Deep Research within the *Generative AI Strategic Leader Specialization.* In the complete course, learners: *Practice designing effective deep research prompts for real business questions *Learn how to review, critiqu