In-Depth Research With AI
The difference between asking AI a question and running AI research is the difference between a Google search and hiring an analyst for a day.
AI Foundations Β· Beginner Β· 12 min read Β· 4 quiz questions
By Ronan Liedmeier, fractional head of growth and course author Β· Reviewed 13 October 2026
What you will learn
- Three depths of research
- Writing a research brief (not a question)
- Verifying and pressure-testing AI research
- Research workflows that compound
Lesson preview
Match research depth to stakes: quick answers for curiosity, guided research for medium-stakes decisions, and Deep Research β where AI autonomously searches, reads dozens of sources, and writes a cited report β for high-stakes decisions. A great research brief, not a vague question, is what determines report quality, and every report still needs verification before you act on it. Match the depth to the stakes. Quick answer: the model answers, maybe with one web search, taking seconds β good for low stakes, curiosity, or definitions. Guided research: you direct multiple searches, ask for sources, and compare, taking 5β15 minutes β good for medium stakes like pricing or vendor shortlists. Deep Research: the AI autonomously plans, searches dozens of sources, reads, synthesizes, and writes a cited report, taking 5β30 minutes of AI time β for high stakes like market entry, competitor analysis, or major purchases. Both ChatGPT and Claude have a Deep Research mode: you submit a brief, the AI often asks clarifying questions, then goes away and returns with a long, structured, source-linked report. Deep Research quality is 80% brief quality. A good brief includes decision context (what decision this research informs), specific questions (3β7 numbered questions you need answered), scope and constraints (geography, time period, company size, budget range), source preferences ("prioritize official/government sources; flag forum/vendor sources as lower confidence"), and output format ("executive summary, then one section per question, then a comparison table, then risks, cited inline"). Compare weak β "Research the CRM market" β with strong: a detailed brief naming the business (a 6-person marketing agency), listing 5 numbered questions about fit, pricing, integrations, real user complaints, and migration effort, specifying recency and output structure.
Key terms in this module
- Deep research
- Deep research is a mode in AI assistants where the model runs many web searches on its own, reads the sources it finds and writes a longer report with citations. It takes longer than a normal answer and suits questions that need several sources compared.
Frequently asked questions
- Who is "In-Depth Research With AI" for?
- This Beginner module in AI Foundations is for people who are new to AI tools and want practical, everyday results without jargon. It takes about 12 minutes and ends with a 4-question quiz.
- Do I need to code?
- No. Everything in this module works in tools like ChatGPT, Claude or Gemini through a normal chat window.
- What comes before and after this module?
- Before "In-Depth Research With AI", take "Claude Essentials" (module 5 of AI Foundations). Afterwards, continue with "Coding Agents for Non-Coders".
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