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Agents that search for information, analyze data, and answer business questions.

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What Research Agents Do

Information Gathering

Search the web, scrape websites, and collect data from multiple sources.

Analysis

Synthesize findings into actionable insights and reports.

Competitive Intelligence

Monitor competitors, track market trends, and identify opportunities.

Due Diligence

Research companies, verify claims, and assess risks.

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Example: Competitive Analysis

Prompt: 
Go through these 300 investment prospects in this spreadsheet, 
and analyze each one based on the following criteria: 
market size, team experience, competitive landscape, and funding history.
What the agent does:
  1. Creates sub-agents for parallel processing
  2. Researches each company using web search and scraping
  3. Extracts relevant data points
  4. Scores each prospect against criteria
  5. Compiles findings into a summary report

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Example: Email Intelligence

Prompt: 
I am traveling to Hamburg to do a talk at a conference. 
Dig through all email threads with the conference host shelly@example.com, 
and create an overview doc in Notion.
What the agent does:
  1. Searches Gmail for relevant threads
  2. Extracts key information (dates, logistics, requirements)
  3. Organizes into structured format
  4. Creates Notion document with summary

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Capabilities Needed

CapabilityPurpose
Web SearchFind public information
Deep ResearchComprehensive topic analysis
Web ScrapingExtract structured data
Gmail/EmailSearch communication history
Google Drive/NotionStore and organize findings

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Best Practices

Specify exactly what you’re looking for and how to evaluate it.
For large-scale research, delegate to sub-agents for parallel processing.
Instruct the agent to include sources for verification.
Define how deep the research should go to avoid endless exploration.