Guide-linked quiz · Easy Level

How Deep Research Agents Work Quiz

Tests the deep research agent loop: planning sub-questions, iterative search and reading, cited synthesis, and common failure modes like misattribution.

Related guide pathsDeep Research Agents
Question 1 of 8

What most distinguishes a deep research agent from a normal chatbot answer that uses web search?

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  1. What most distinguishes a deep research agent from a normal chatbot answer that uses web search?
    • It never uses the web
    • It runs a long iterative loop of searching and reading many sources before writing
    • It only answers yes or no questions
    • It writes answers without citations
  2. Why might a deep research agent ask clarifying questions at the start?
    • To pin down scope, audience or time frame before planning
    • To delay the answer
    • Because it cannot search without a password
    • To collect the user's personal data
  3. Which product did OpenAI launch in ChatGPT in February 2025?
    • Code Interpreter
    • Operator Search
    • Deep Research
    • Gemini Deep Research
  4. Why do deep research reports often miss important sources?
    • They refuse to read PDFs
    • They only read one page
    • They ignore search engines
    • Paywalled, login-gated or bot-blocking sites are often unreachable
  5. A report places a citation next to a statistic. What does the guide say about this?
    • The citation proves the statistic is correct
    • The source may not actually say that, so spot-checking is needed
    • Citations are only decorative
    • Only the first citation in a report matters
  6. How do agents typically handle the problem that raw web pages are too large to keep in context?
    • They extract notes or summaries after each read and store them for later
    • They delete every page after reading without notes
    • They only read page titles
    • They increase the font size
  7. What is a trade-off of multi-agent deep research designs?
    • They cannot use search
    • They reduce breadth
    • They increase breadth but multiply token cost
    • They remove the need for citations
  8. Which description best matches the guide's recommended mental model for these tools?
    • A final authority whose reports need no review
    • A replacement for all expert judgment
    • A search engine with no reasoning
    • A fast research assistant that produces a first draft and leads

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