Research like a pro | Master AI Automation in 4 hours Master AI Automation in 4 hours Course About Ayush Modules Sample chapter Toolbox The Microcap Minute Classroom / Module 08: Documents, Data & Research / Chapter 4 Research like a pro Watch first, then read. Same lesson, your pace. What you will learn – Why search-grounded modes change the rules – The three-source standard – Deep-research tools: what they’re for, what they cost (time) Grounding changes everything Module 1’s hallucination map had a fix hiding inside it: models guess when facts aren’t on the desk. Search-grounded modes (ChatGPT with browsing, Gemini, Kimi’s search, Perplexity) put fresh web results on the desk before answering, then cite them. Claims become checkable; the answer arrives with receipts. Use grounded modes by default for anything factual, recent or numeric. Un-grounded chat remains fine for concepts, writing and reasoning over your own material. The three-source standard One source is an opinion; two is a coincidence risk; three independent sources agreeing is the student’s working truth. “Independent” matters: five articles all citing the same press release are one source in a trench coat. The professional loop: Ask the grounded AI → note its cited sources Open the primary one (the actual report/study/paper, not the blog about it) Cross-check any load-bearing claim against two more independent outlets In your notes: keep links beside claims, future-you owes present-you receipts Deep research: when to summon it All major AIs now offer deep-research modes: the model spends 10-30 minutes autonomously browsing dozens of pages and returns a structured multi-page report with citations. Genuinely powerful for surveys (“state of EV adoption in India”, “comparison of scholarship options”), and genuinely wasteful for questions a normal search answers in seconds. Rule of thumb: if the deliverable is a report , deep research earns its time. If it’s an answer , don’t. And regardless of mode: skim citations yourself before repeating anything important, Module 1’s verification habit scales up, never switches off. Try it yourself Pick one question you actually need answered this month (exam pattern change, gadget comparison, college deadline). Run it three ways: un-grounded chat, grounded chat, deep research. For the grounded answers, apply the three-source standard, open primaries, hunt one disagreement between sources. Time each method and grade confidence of output. File as learn/research-methods.md . Key takeaways – Search-grounded modes add live sources + citations; default to them for facts. – Three independent sources = working truth; primary beats commentary. – Deep research is for reports, not quick answers. – Citations still get opened by humans; verification scales but never delegates. Download the exercise sheet (PDF) Module workbook (PDF) ← Prev: Messy text in, tidy data out Module 08 index → Classroom / Module 08: Documents, Data & Research / Chapter 4 Research like a pro What you will learn – Why search-grounded modes change the rules – The three-source standard – Deep-research tools: what they’re for, what they cost (time) Grounding changes everything Module 1’s hallucination map had a fix hiding inside it: models guess when facts aren’t on the desk. Search-grounded modes (ChatGPT with browsing, Gemini, Kimi’s search, Perplexity) put fresh web results on the desk before answering, then cite them. Claims become checkable; the answer arrives with receipts. Use grounded modes by default for anything factual, recent or numeric. Un-grounded chat remains fine for concepts, writing and reasoning over your own material. The three-source standard One source is an opinion; two is a coincidence risk; three independent sources agreeing is the student’s working truth. “Independent” matters: five articles all citing the same press release are one source in a trench coat. The professional loop: Ask the grounded AI → note its cited sources Open the primary one
Research like a pro
Written by
in