Key Takeaway
The best research stack is layered: orientation tools for 'what is happening?', evidence tools for 'what supports this?', synthesis tools for 'what does it mean?', and manual verification for claims that matter.
Research Is Layered
The biggest mistake in AI-assisted research is using one tool for everything. The solution is a layered stack where each tool handles the job it does best:
- Orientation: What is the current state of this topic?
- Evidence: What specific studies, data, or sources support or contradict the claims?
- Synthesis: What does the evidence mean when combined?
- Verification: Are the specific claims I plan to publish accurate?
The Resources page includes quick-reference guides for each research tool.
Orientation Tools
Orientation is the first phase. Best tools:
- Gemini 3.1 Pro with grounding: Search the web for current information with cited sources.
- ChatGPT (GPT-5.5): Good for generating research questions and broad overviews.
- Perplexity: Dedicated research interface combining search with AI synthesis.
Output: a list of research questions and leads to investigate.
Evidence Tools
Specialised tools outperform general chatbots for evidence:
- Elicit: Searches academic papers with semantic search. Extracts key findings automatically.
- Consensus: Provides a consensus meter showing how strongly evidence supports or contradicts a claim.
- Google Scholar: Still valuable for finding specific papers and tracking citations.
- Direct source searches: For industry data and technical documentation.
The Hallucination Spotter can help identify claims needing additional verification.
Deep Synthesis Tools
For synthesis, general-purpose models shine:
- Claude Opus 4.7: Best for careful, nuanced synthesis that respects evidence.
- GPT-5.5: Good for bold synthesis connecting ideas across domains.
- ChatGPT Deep Research: Extended multi-step research. Good for literature reviews but needs verification.
The Four-Step Workflow
- Orient (30 min): Gemini and ChatGPT map the landscape. Output: research questions.
- Gather (60 min): Elicit, Consensus, direct searches. Output: annotated source list.
- Synthesise (45 min): Claude or GPT-5.5 analyses evidence. Output: draft analysis with citations.
- Verify (30 min): Check key claims against primary sources. Output: verified research brief.
Total: approximately 2.5 hours for thorough research. Without AI: 6-8 hours.
Education Research Example
Researching AI-assisted learning effectiveness:
- Orient: Gemini search for recent studies. Identifies key research groups.
- Gather: Elicit finds 15 relevant papers. Consensus shows mixed but moderately positive evidence.
- Synthesise: Claude identifies AI-assisted learning is most effective for procedural skills, moderate for conceptual understanding, least effective for creative/critical thinking.
- Verify: Manually check the three most important studies.
The result is a research brief that educators can trust. Visit the Learn AI section for more research methodology guides.
Frequently Asked Questions
Can I just use ChatGPT for research?
ChatGPT is useful for orientation but should not be your only research tool because it can hallucinate sources and lacks academic database access. Use specialised tools like Elicit for evidence gathering.
Is Gemini better than ChatGPT for research?
Gemini with grounding is better for current information because it searches the web in real time. For academic research, specialised tools like Elicit are better than either.
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