idea-discovery

Automating research idea generation requires orchestrating a structured end-to-end workflow that chains literature survey, brainstorming, novelty checks, and critical review. This pipeline transforms raw research directions into pilot-tested ideas, outputting a ranked IDEA_REPORT.md with recommended experiments and a refined plan.

A novelty check during research design systematically verifies generated ideas against existing literature to ensure originality. This end-to-end pipeline integrates novelty verification as a distinct phase, applying guardrails to validate pilot feasibility and refine the research direction before producing the final proposal.

Yes, this workflow orchestration handles adaptable scopes, supporting both broad topics and narrow research questions. It iteratively refines specific queries through multiple feedback loops across literature survey, idea generation, and validation phases to produce targeted pilot-tested research proposals.

Structuring a pilot experiment feasibility check involves applying built-in guardrails during the validation phase of idea discovery. The workflow automatically logs the process, evaluates cost and feasibility constraints, and outputs a refined plan with recommended experiments inside an IDEA_REPORT.md deliverable.

Yes, the research idea discovery workflow explicitly satisfies requirements for modular, scriptable phases. It orchestrates distinct stages from literature survey to refined proposal, automatically logging each step to ensure a structured end-to-end exploration from broad topics to pilot-tested ideas.