Deep Research Workflows

Deep research workflows use agents, retrieval, critique, source verification, and structured synthesis to produce research briefings beyond a single chat response. The STORM-inspired workflow is a lightweight example focused on lens diversity and disagreement mapping [src-183].

Related

  • Multi-perspective Research Agents
  • Source Verification
  • Agent Workflows

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

Recommended next

Keep reading from this thread

From 500 indexed pages and articles.

  1. Wiki concept Multi-perspective Research Agents Split a research task across several specialised lenses, then compare disagreement and verify sources before synthesising the answer. Related by deep
  2. Wiki concept Agent Workflows Define repeatable handoffs, roles, artefacts, and verification steps for tool-using AI systems. Related by research
  3. Wiki concept Agentic Research Uses AI agents to structure and execute research workflows: decomposing questions, searching for evidence, comparing perspectives, checking claims, and producing synthesis. Related by research