Use Cases
Discover how Assay transforms document workflows across different industries and use cases.
1. Research Synthesis & Literature Review
Academic & Research
Scenario
An academic researcher is compiling a literature review on "Cloud Architecture Resilience" and needs to synthesize insights from 20+ research papers, whitepapers, and technical documents. They need to identify common themes, compare approaches, and generate a comprehensive overview.
How Assay Helps
- Upload all papers: Batch upload PDFs and get instant theme classification across all documents
- Theme-based discovery: Find related papers even when they use different terminology (e.g., "fault tolerance" vs "resilience")
- MCP + Skills integration: Use Claude to ask "What are the common patterns across these papers?" and get synthesized answers with proper citations
- Generate FAQs: Use produce_faq to create a comprehensive FAQ document organized by themes
- Compare documents: Use compare_documents to identify differences and similarities between approaches
Outcome
The researcher saves 20+ hours of manual reading and note-taking. They get a structured synthesis with proper attribution, can quickly identify gaps in the literature, and generate publication-ready FAQs and comparisons. The theme-based organization helps them see connections they might have missed.
Example: Comprehensive Document Synthesis
Watch how Claude uses Assay's MCP tools to synthesize information from multiple research papers, with proper attribution and similarity-based discovery.
2. Technical Documentation Management
Engineering & Development
Scenario
An engineering team manages hundreds of architecture documents, API specifications, design patterns, and technical whitepapers. Team members struggle to find relevant documentation when starting new projects or need to understand existing systems.
How Assay Helps
- Centralized knowledge base: Upload all technical docs to a shared Assay collection (public or team-accessible)
- Theme-based organization: Documents automatically organized by technical domains (e.g., CLOUD_COMPUTING.ARCHITECTURE, SECURITY.ZERO_TRUST)
- Similar document discovery: When working on a new feature, find related architecture docs using Jaccard similarity
- MCP integration: Developers can ask Claude "What's our approach to multi-region deployments?" and get answers from actual documentation
- Quick summaries: Get comprehensive, casual, or FAQ summaries to quickly understand complex technical documents
Outcome
Team members can quickly find relevant documentation, understand existing systems faster, and avoid reinventing solutions. New team members can onboard faster by exploring theme-organized documentation. The MCP integration enables developers to get answers from documentation without leaving their workflow.
Example: Architecture Diagram Review
Watch Claude review an AWS architecture diagram using best practices from your document collection.
3. Competitive Intelligence & Market Research
Product & Business
Scenario
A product manager needs to track competitor research, market analysis reports, and industry whitepapers. They need to quickly compare approaches, identify trends, and generate insights for strategic planning.
How Assay Helps
- Competitor document collection: Upload competitor whitepapers, research reports, and product documentation
- Theme-based tracking: Organize documents by business themes (e.g., MARKETING.STRATEGY, PRODUCT.FEATURES) to track competitor focus areas
- Compare documents: Use compare_documents to analyze differences between competitor approaches
- Generate insights: Use MCP to ask "What are the common themes across competitor strategies?" and get synthesized analysis
- FAQ generation: Create comprehensive FAQs about competitor positioning and strategies
Outcome
Product managers can quickly identify competitive trends, compare approaches, and generate strategic insights. The theme-based organization helps track competitor focus areas over time. MCP integration enables quick answers to competitive questions during planning meetings.
Example: Product Strategy Analysis
Watch Claude analyze agentic development trends and provide strategic product management insights.
4. Content Creation & Blog Writing
Professional Writing & Content Marketing
Scenario
A professional wants to create engaging blog posts, LinkedIn articles, or thought leadership content based on their document collection. They need blog post ideas, sample content, and proper attribution to source documents—all grounded in their actual knowledge base.
How Assay Helps
- Blog post ideation: Ask MCP "What would be a good blog post about [topic] for LinkedIn?" and get ideas based on your document collection
- Sample content generation: Request sample blog posts (e.g., 300 words) with proper structure, engaging hooks, and key takeaways
- Document attribution: Get explicit references to which documents were used, ensuring your content is grounded in actual sources
- Theme-based content: Generate content organized around canonical themes from your collection (e.g., CLOUD_COMPUTING.ARCHITECTURE)
- MCP + Skills integration: Server-side synthesis ensures consistent, well-structured content with proper verification and citations
Outcome
Professionals can quickly generate blog post ideas and sample content grounded in their actual document collection. The content includes proper attribution, ensuring credibility and allowing readers to explore source materials. MCP + Skills integration provides consistent, well-structured content that's ready to publish or refine.
Example: Blog Post Ideation
Watch Claude generate a compelling blog post about fault tolerance with proper source attribution.
5. Personal Knowledge Base & Learning
Personal Development
Scenario
An individual wants to build a personal knowledge base from articles, research papers, books, and learning materials. They want to discover connections between topics, track learning progress, and quickly reference information.
How Assay Helps
- Personal document library: Upload learning materials, articles, and research papers to a private collection
- Theme-based learning paths: Documents organized by learning domains help track what you've studied
- Discover connections: Use similar document discovery to find related materials you might have forgotten
- MCP integration: Ask Claude questions about your learning materials and get answers from your actual collection
- Library insights: Get AI-generated insights about your research profile and learning focus areas
Outcome
Individuals can build a comprehensive personal knowledge base, discover connections between learning materials, and quickly reference information. The theme-based organization helps track learning progress across domains. MCP integration enables conversational exploration of personal knowledge.
Example: FAQ Generation for Learning
Watch Claude generate a comprehensive AI Governance FAQ for beginners from your document collection.