research-swarm

Parallel research automates idea discovery by decomposing open-ended topics into orthogonal facets and exploring them concurrently. It synthesizes findings into candidate ideas, evaluating them through technical, value, and novelty lenses to produce structured documents.

Evaluating the feasibility of discovered ideas involves consolidating findings into distinct candidates and reviewing them across technical, value, and novelty lenses. This process yields structured idea documents complete with feasibility ratings and confidence levels to support decision-making.

Conducting competitive analysis when approaches are unknown requires a multi-wave parallel research pipeline. It explores broad topics concurrently across orthogonal facets, synthesizing findings into validated idea documents with confidence levels and source citations for comprehensive coverage.

Yes, parallel research pipelines work for preliminary design exploration by automating the discovery and evaluation of viable approaches. It decomposes design topics into facets, exploring them concurrently to produce structured idea documents with feasibility ratings and source citations.

Automating open-ended research synthesis limitations depend on the initial topic decomposition into orthogonal facets and concurrent exploration. It is designed for discovering and evaluating unknown viable approaches rather than validating pre-defined, highly specific technical implementations.

Structuring brainstorming outputs with confidence levels and source citations requires a multi-wave synthesis pipeline. It consolidates parallel research findings into complete, structured idea documents for all viable candidates, ready for downstream decision-making workflows.