idea-discovery

To validate research ideas and check novelty, you can run an end-to-end discovery pipeline that performs literature surveys, generates ideas, verifies novelty against existing publications, and conducts critical peer reviews. This produces ranked, pilot-tested ideas.

Generating an experiment plan from a literature survey involves orchestrating a multi-agent workflow that processes the survey, proposes ideas, refines methods iteratively, and outputs a concrete experiment plan. The pipeline produces refined proposal artifacts for implementation.

An end-to-end idea discovery pipeline for research planning is an automated workflow that transforms a broad research direction into validated ideas. It integrates literature surveys, novelty verification, critical reviews, and method refinement across iterative checkpoints.

Yes, you can run pilot studies with budget and time constraints during idea generation. The pipeline supports configurable pilot budgets and GPU timeouts, running limited parallel pilots under controlled guardrails to eliminate non-novel ideas.

No, the idea discovery workflow does not require continuous user input. It features checkpointed guidance with optional auto-proceed, presenting outputs at major phases and continuing automatically when the user does not respond.

The outputs from an automated research idea discovery pipeline include an idea-stage report, a finalized proposal, and a concrete experiment plan. These artifacts are generated for the best validated idea to facilitate direct implementation.