Chapter B · 8 pages · ~112 min

AI for Research

Practice AI for research through a realistic project: scoped inputs, constrained prompts, independent verification, safe operating boundaries, and a reusable professional playbook.

What you will be able to do

  • Frame a bounded AI for research job with observable acceptance criteria
  • Prepare authoritative, minimal inputs and distinguish evidence from assumptions
  • Verify outputs independently and stop or escalate when a blocking check fails
  • Produce a research trail with question, query log, inclusion rules, source cards, claim-evidence matrix, and citation audit as evidence of repeatable mastery

Lessons in this topic

  1. 01Start with the job to be done14m
  2. 02Pack the right inputs14m
  3. 03Use prompt moves that transfer14m
  4. 04Set a quality and verification bar14m
  5. 05Protect privacy and reduce risk14m
  6. 06Build a repeatable workflow14m
  7. 07Work a full example14m
  8. 08Mastery: your playbook14m