BeginnerStart here. No prior knowledge assumed.
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Lesson 1
AI Research Tools — Overview
The landscape of AI tools built for research — from search to document analysis to academic literature review.
Lesson 2
Perplexity — AI Search with Citations
How Perplexity differs from ChatGPT for research — live web search, citations, and why citations matter for verification.
Lesson 3
NotebookLM — Document Analysis
Google's document AI — uploading sources and asking questions about them with citations back to the original.
Lesson 4
Using AI for Literature Review
How AI tools can accelerate but not replace academic literature review — the combination of AI search and critical reading.
Lesson 5
Fact-Checking AI Research Output
Why AI research outputs require verification — the specific failure modes of AI in research contexts.
Why does Perplexity include citations?
What is NotebookLM best used for?
IntermediateBuild on the basics.
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Lesson 1
Consensus — Academic AI Search
AI search over peer-reviewed research — how Consensus surfaces scientific consensus and evidence quality.
Lesson 2
Elicit — Research Workflow Automation
How Elicit automates parts of systematic literature review — extraction tables, paper summarisation, and key findings.
Lesson 3
Scite — Citation Analysis
Smart citation analysis — understanding how papers are cited and whether evidence supports or contradicts claims.
Lesson 4
Semantic Scholar
Free AI-powered academic search — how it differs from Google Scholar and what it offers for deep literature work.
Lesson 5
Competitive Research with AI
Using AI tools for market and competitive research — combining web search AI with structured analysis.
What is Consensus?
What does Elicit help with?
AdvancedDepth, edge cases and strategy.
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Lesson 1
Building a Research Workflow
Combining AI research tools effectively — when to use which tool and how they complement each other.
Lesson 2
AI for Data Analysis in Research
Using AI to analyse quantitative data — spreadsheets, surveys, and the tools that handle statistical interpretation.
Lesson 3
Primary vs Secondary Research with AI
Where AI helps with primary research (surveys, interviews) and where it helps with secondary (existing literature).
Lesson 4
Research Ethics and AI
Declaring AI use in academic and professional research — the emerging norms and why transparency matters.
Lesson 5
The Limits of AI Research
What AI cannot do in research contexts — the judgement, interpretation, and domain expertise that remains human.
What is the most important habit when using AI for research?
What do AI research tools struggle with most?