idea-discovery

To turn a broad research direction into a validated proposal, you orchestrate an end-to-end idea discovery workflow that guides literature surveys, idea generation, novelty checks, and critical reviews. This process outputs a structured IDEA_REPORT.md and refined experiment plans.

An AI-assisted research pipeline for idea generation is a multi-phase workflow that coordinates literature review, novelty verification, and method refinement. It applies structured guardrails and decision points to transform broad topics into validated, implementable research plans.

Yes, you can use this idea discovery workflow for solo research. The pipeline applies to both solo researchers and research teams across disciplines, guiding literature surveys, novelty checks, and experiment planning without requiring group coordination.

To perform a novelty check during a literature review, you apply a coordinated workflow phase that verifies generated ideas against existing literature. This structured novelty verification ensures the refined proposal remains unique before proceeding to pilot validation.

The best way to plan experiments for pilot validation is to use an end-to-end idea discovery pipeline that refines proposals through critical reviews and method refinement. This structured approach yields concrete experiment plans ready for implementation.

Deliverables from an end-to-end research workflow include an IDEA_REPORT.md file and refined proposals containing concrete experiment plans. These structured outputs result from guided decision points across literature surveys, novelty checks, and critical reviews.