idea-creator

Research idea generation works by surveying the landscape, filtering for novelty and feasibility, and outlining hypotheses with minimum viable experiments. You provide a broad research direction, and the system outputs a ranked IDEA_REPORT.md with actionable next steps.

Planning a pilot experiment involves defining a minimum viable test to validate your hypothesis. The workflow structures this by filtering generated ideas through risk and feasibility checks, then outlining specific pilot experiments and implementation steps in a final ranked report.

A novelty check validates generated ideas against existing literature to ensure originality. During the filtering phase, ideas are evaluated for risk and feasibility, producing an auditable ideation process that confirms novelty before moving to pilot planning.

Automated ideation is designed for researchers needing a rigorous, auditable process for academic planning. It transforms ambiguous directions into structured hypotheses and minimum viable experiments, outputting a ranked plan with clear next actions for publication.

Idea-generation requires no predefined components or dependencies to function. You simply provide a broad research direction as input, and the internal workflow handles the landscape survey, novelty validation, and pilot planning autonomously.

Automated research idea ranking is not suited for directions lacking enough context for a landscape survey or when you need immediate execution without an auditable ideation process. It is built for rigorous planning, not for generating instant, unvalidated outputs.