Custom Research Program Design

via “research mode selection and workflow adaptation”

Autonomous agent for comprehensive research reports.

Unique: Implements mode-specific workflow orchestration through the ResearchConductor, which adjusts LLM model tier, context compression, and multi-agent iteration counts per mode. This allows a single codebase to serve both fast-and-cheap and thorough-and-expensive research use cases.

vs others: More flexible than fixed-pipeline competitors because mode selection allows users to trade off speed, cost, and quality; more transparent than black-box research tools because mode parameters are explicit and configurable.

via “configurable research scope and depth control”

Agent that researches entire internet on any topic

Unique: Treats research depth as a first-class parameter that affects all downstream tasks (query generation, search, synthesis) rather than a post-hoc constraint on output length

vs others: More flexible than fixed-depth research tools because users can trade off quality vs cost; more transparent than black-box research agents because parameters are explicit and tunable

via “custom-research-program-design”