agentic-research-orchestration

Multi-agent deep research is orchestrated by coordinating three agents across ExaAI, Firecrawl, and NotebookLM to perform cross-referenced source gathering, quality filtering, and cited report synthesis.

Generating cited reports uses a five-phase methodology enforcing clarification, setup, dispatch, orchestration, and synthesis to produce artifacts like mind maps, data tables, and final reports with citations.

Yes, Firecrawl and NotebookLM are integrated within a three-agent orchestration to run parallel research tasks, accelerating cross-domain evidence gathering and final synthesized outputs.

URL relay during research orchestration applies quality-controlled deduplication and source-tier prioritization to filter and pass links between agents, ensuring only high-quality sources are synthesized.

Multi-agent research workflows coordinate ExaAI, Firecrawl, and NotebookLM, requiring access to these platforms to enable parallel dispatch, URL relay, and cross-agent communication across the five phases.

Multi-agent orchestration is suited for complex topics requiring cross-referenced sources, cross-domain evidence, quality-controlled URL filtering, and governance considerations that exceed single-agent capabilities.