Deep Research Synthesizer
Conduct comprehensive multi-source research and synthesize findings into cohesive reports, leveraging Opus 4.5s advanced reasoning for complex information retrieval and analysis.
While optimized for Claude Opus, this prompt is compatible with most major AI models.
Synthesizes arguments from multiple documents, identifying consensus points, contradictions, and areas of contention across sources.
With Claude's massive context window, multi-document analysis has become one of its standout capabilities. This prompt structure emerged from researchers needing to synthesize literature reviews, compare competing analyses, or reconcile conflicting sources. The key innovation is the structured comparison matrix that surfaces agreements and disagreements systematically. Especially powerful for academic research, competitive intelligence, and policy analysis.
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Conduct comprehensive multi-source research and synthesize findings into cohesive reports, leveraging Opus 4.5s advanced reasoning for complex information retrieval and analysis.
Build high-quality Model Context Protocol (MCP) servers to integrate external APIs and services with AI assistants. Follow best practices for tool design, security, and cross-platform compatibility.
Navigate complex decisions with competing priorities using Opus 4.5s ability to handle ambiguity and reason about tradeoffs without hand-holding.
Performs comprehensive analysis on documents, extracting key insights, hidden assumptions, real-world applications, and actionable takeaways beyond surface-level summaries.
Structures complex decisions using proven frameworks like weighted matrices, pre-mortem analysis, and second-order thinking.
Provides contrarian perspectives and challenges assumptions to stress-test ideas, plans, and decisions before committing.
Performs comprehensive SWOT analysis based on company information and market data, providing specific and actionable points for strategic planning.