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What it creates: A comprehensive analysis with structured sections, cited sources, and academic rigor - drawn entirely from your multi-AI conversation.

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When to Use This

  • You’ve explored a topic through multiple rounds of multi-AI discussion
  • You need a formal document for stakeholders, investors, or academic purposes
  • You want a structured analysis that goes beyond a summary
  • Your conversation uncovered insights that deserve thorough documentation

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What You Get

A Research Paper typically includes:
  • Abstract - Summary of the research question, approach, and key findings
  • Introduction - Context and why this matters
  • Methodology - How the multi-AI analysis was conducted
  • Findings - Organized by theme, with supporting evidence
  • Discussion - Implications and connections between findings
  • Conclusions - What this means and what comes next
  • References - Sources cited during the conversation (especially from Perplexity)

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Example

Conversation context: You asked the AIs to analyze the impact of AI on knowledge work, with follow-ups on productivity data, job displacement concerns, and new role creation. Generated Research Paper excerpt:
Abstract This analysis examines the evolving impact of artificial intelligence on knowledge work across five dimensions: productivity, job displacement, role creation, skill requirements, and organizational adaptation. Drawing on cross-referenced data from multiple sources and multi-perspective analysis, findings indicate that AI augmentation increases individual knowledge worker productivity by 25-40% on routine tasks while creating demand for new hybrid roles that combine domain expertise with AI orchestration skills. Findings Theme 1: Productivity Gains Are Real but Uneven Current research indicates significant but role-dependent productivity improvements…

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Tips for Best Results

  • Use Perplexity (@Perplexity) for research rounds - it provides citations that enrich the paper
  • Ask multiple follow-up questions to build depth before generating
  • The more diverse the AI perspectives, the richer the findings section
  • Works best after 3+ rounds of conversation with specific follow-ups
  • If the paper misses something, add to the conversation and regenerate

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Best AI Engine for This Type

Claude - Produces well-structured academic prose with nuanced analysis and clear logical flow. Perplexity - Good choice when you want heavy emphasis on cited sources and factual grounding.

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Still Need Help?

Reach out to us at [email protected] or use the feedback button in the app.