idea-discovery

To turn a broad research direction into a validated experiment plan, you can run an end-to-end pipeline that orchestrates literature survey, idea generation, novelty checking, and pilot experiments. This workflow outputs a ranked list of ideas with a refined, implementable plan.

Checking research novelty before running experiments requires multi-source novelty verification against existing literature. This process eliminates duplicated concepts early and ranks surviving ideas by empirical signal rather than intuition to ensure originality.

Designing pilot experiments with strict time and GPU budgets involves applying safety guardrails during idea validation. The pipeline uses pilot budgeting constraints to rank ideas by empirical signal while preventing excessive resource consumption.

Yes, you can automate research planning while retaining control through checkpointed, user-in-the-loop decisions. The pipeline stops at defined phases to confirm scope and choose which ideas to advance, with an auto-proceed option for full automation.

External critical review in research idea discovery is a validation phase that evaluates generated ideas after novelty checking. It applies critical scrutiny to refine methods and ensure the final experiment plan is robust and implementable.

Yes, idea discovery works for end-to-end research planning from a broad direction to a final report. It executes chained sub-skills for literature review, idea generation, and method refinement to produce a top idea, ranked alternatives, and an experiment roadmap.