Conduct iterative deep research on a topic by generating queries, summarizing web results, reflecting on gaps, and finalizing insights.
This workflow powers a deep research assistant that takes a user-defined topic and performs iterative cycles of web research and summarization. At each cycle, it generates a search query, gathers online sources, summarizes them, and reflects to identify gaps. The cycle repeats for a configurable number of times before producing a final markdown summary with citations. It is useful for writing comprehensive briefs, conducting market research, or understanding complex topics in depth.
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Use this example as a starting point, not a fixed recipe.
Copy the flow above as a prompt, markdown, skill, or mermaid diagrom. Adjust the steps, tools, agent and human involvement to fit your real workflow. Then test where users actually get value or drop off.
Generate a concise, relevant search query to explore this research topic: {researchTopic}
Summarize the key points from the following sources related to {researchTopic}. Include source references.
Sources:
{webSources}
Based on this summary of {researchTopic}, determine if there are any significant knowledge gaps. If gaps exist, generate a revised search query to fill them. If the summary is sufficient, indicate that no further search is needed.
Summary:
{currentSummary}
Combine all findings from multiple research cycles into a single, structured markdown summary. Include clear citations from all sources used.