Log inStart free
← Back to catalog

AI for research and reports

Gather, summarize and structure info with fact-checking.

Updated: 25 July 2026Editor: Skilvy editorial

24 lessons · 7 h read · 2 free · 5 AI-graded projects

About this course

This course is about using AI in research and report writing without losing precision or getting caught out by invented facts and citations. It solves a problem familiar to anyone writing a thesis, dissertation, or analytical report: source-hunting eats your time, and trusting an AI draft without checking it is a real risk.

The course follows the full research cycle: from framing an answerable question and scouting the field, to finding and rating sources, reading and compressing articles without losing their method, synthesizing a position matrix and untangling contradictions, fact- and citation-checking for hallucinations, and finally drafting text that keeps the author's own voice.

It's for students and anyone who regularly writes research or analytical texts and wants to use AI properly instead of rewriting after it. No prior knowledge is required, but you'll need your own topic or draft — the course is built on it.

What you'll learn

  • Frame a research question that can actually be answered
  • Scout the field and locate the contested points inside a topic
  • Rate sources by quality criteria and evidentiary hierarchy
  • Read and compress articles into summaries that keep the method and limitations
  • Build a source-position matrix and untangle contradictions between sources
  • Recognize typical AI hallucinations and check links and quotes step by step
  • Draft with AI while keeping your own voice and academic style
  • Handle citation formatting and stay inside the bounds of academic honesty

Tools you'll work with

Google ScholarChatGPTClaudeZotero

What you'll end up with

  • A source base for the work: a final question, a search strategy, a source registry
  • A reading dossier — eight articles run through three passes with structured summaries
  • A position matrix of at least ten sources on the contested questions, plus a contradiction breakdown
  • A claims registry with source checks, a three-plus-page excerpt with clear personal authorship, and a certificate on paid plans

Not for people looking for a ready-made paper — the point is learning to check and write it yourself, not to hand in AI output as is.

Course program

Module 1 · The research question
1An assistant, not an oracle: what AI does in researchFree2From a topic to a question you can answerFree3Scouting the field: what is settled and where the fight is4A hypothesis and the conditions that would sink it
Module 2 · Sourcesproject
5Where to look: database versus search engine6Source quality and the hierarchy of evidence7AI search: what it is good for and why the list is not usable as is8The source table and keeping track of what you read
Module 3 · Reading and compressionproject
9Reading a paper fast and what to look at first10A summary that keeps the method and the limitations11Extracting data and quotations without distortion12The source note your text will later be built from
Module 4 · Synthesisproject
13From a pile of summaries to a map of positions14Contradictions between sources and what to do with them15Finding the gap: what nobody has done16Structure and the logic of the argument
Module 5 · Verificationproject
17What a hallucination looks like: types and signals18Checking a reference and a quotation, step by step19Numbers, dates and the drift of meaning20Independent rechecking and an outside eye
Module 6 · Text and integrityproject
21Drafting with AI and keeping your own voice22Academic style: precision instead of heaviness23Citation, formatting and the reference manager24Academic integrity: permitted, disclosed, forbidden
$49
one-time purchase · lifetime access
Or included in Pro
Start freeGet a subscription
Practical projects
0 / 5 passed
Certificate progress →

What's included

  • Lifetime access
  • Tasks and quizzes
  • Certificate — on a paid plan
  • Updates forever