We asked 4 AI models to recommend the Elicit best practices. Here's what GPT-4.1, Gemini, Grok, and Llama agree on.
🏆 AI Consensus Winner: Clear and Specific Questions — recommended by 1/4 models
🔴 AI Confidence: LOW — no clear winner
AI Consensus
These products were recommended by multiple AI models:
- Clear and Specific Questions
- Contextual Information
- Iterative Refinement
- Use of Prompts and Examples
- Feedback and Validation
What Each AI Recommends
| Rank | GPT-4.1 | Gemini | Grok | Llama |
|---|---|---|---|---|
| 1 | Clear and Specific Questions | Start with a clear research question | Craft Clear Questions | Be specific |
| 2 | Contextual Information | Use keywords effectively | Iterate on Searches | Use simple language |
| 3 | Iterative Refinement | Filter and sort your results | Use Extraction Tables | Ask one question at a time |
| 4 | Use of Prompts and Examples | Utilize the "Extract Data" feature | Evaluate Relevance Scores | Provide context |
| 5 | Feedback and Validation | Export and analyze your findings | Explore PDFs and Citations | Verify assumptions |
Best For Your Needs
- Best overall: Clear and Specific Questions
- Best free option: Contextual Information
- Best for small teams: Iterative Refinement
- Best for enterprises: Clear and Specific Questions
Methodology
We asked each AI model: "What are the Elicit Best Practices? List your top 5 recommendations."
Models used: GPT-4.1 Nano (OpenAI), Gemini 2.5 Flash (Google), Grok 4.1 Fast (xAI), Llama 4 Scout (Meta). No web search was enabled — these are pure AI opinions based on training data.
The "AI Consensus" shows products mentioned by 2 or more models. The winner is the product that appears most frequently in the #1 position.