What problem does it solve?
It eliminates the struggle of converting a broad research direction into concrete, testable, and potentially publishable research ideas with clear experiments and evaluation plans.
Core Features & Use Cases
- Research landscape + gap finding: Maps recent literature and organizes papers to identify structural gaps, assumptions, and open problems.
- Ranked idea generation: Produces 8–12 ideas, filters them for feasibility/novelty/impact, then deep-validates the top candidates.
- Pilot validation pipeline: Estimates GPU budget, runs short parallel pilots for the best 2–3 ideas when resources are available, and reranks based on empirical signal.
Use it when you want to explore a topic, brainstorm “what we can work on,” or find publishable directions for a research area.
Quick Start
Ask the AI to run idea-creator with your direction, for example: Generate research ideas for “federated learning with non-IID data” and include a pilot plan.