auto-explore

Automated multi-round research uses autonomous agents to execute a progressive 5-phase loop of scoping, investigating, synthesizing, reviewing, and delivering a structured report with citations. This eliminates manual orchestration across multiple sources and rounds for complex topics.

Meta-judge termination is a mechanism that autonomously evaluates when an investigation loop has gathered sufficient corroboration across diverse sources. It stops the research process automatically once the synthesized report meets predefined confidence levels, preventing unnecessary additional rounds.

Yes, autonomous multi-agent orchestration deploys diverse sub-agents designed specifically for cross-source web research, open-source analysis, and internal documentation simultaneously. This allows the workflow to synthesize findings from external web sources and internal codebases into one report.

To start progressive research, invoke the workflow with your target topic, such as a technology comparison. The system autonomously initiates the scoping phase, deploys sub-agents for multi-angle investigation, and progresses through synthesis to deliver a citations-backed report with confidence levels.

Yes, the workflow includes output governance features that route the generated citations-backed report to a vault or knowledge base. This ensures structured research outputs are stored systematically alongside their confidence levels for future reference.

Autonomous progressive research requires complex topics needing cross-source corroboration to be effective, and relies on safe defaults with strong error handling to manage multi-agent orchestration. It is not intended for simple, single-query lookups that do not require multi-round synthesis.