What is AI Hypothesis Generator?

The Hypothesis Generator turns a vague research question into 3 testable hypothesis candidates, each grounded in 460M+ papers and scored on testability, novelty, feasibility, and clarity. Pick the strongest one and refine it to fit your study direction.

When should you use the Hypothesis Generator?

Use it when you have a research area or question in mind but aren't sure how to frame a hypothesis. Instead of staring at a blank page, get 3 literature-grounded candidates to compare — each with a quality badge so you know which is worth pursuing.

How is this different from asking ChatGPT?

ChatGPT relies on training data and can cite papers that don't exist. The Hypothesis Generator performs live searches across Semantic Scholar, PubMed, and arXiv, grounds every hypothesis in 460M+ verified papers, and scores each candidate on 4 academic criteria — so you get objectively comparable options, not subjective text.

Can I use the AI-generated hypothesis as-is?

Treat it as a starting point. The 3 candidates are testable and literature-grounded, but the final hypothesis should reflect your research direction and domain expertise. A refinement step is built in so you can adjust variables, scope, and framing.

What comes next after generating?

Once you have a candidate, run it through the AI Hypothesis Evaluator to score weaknesses and get concrete improvement directions. Generate → evaluate → refine is the recommended loop.