The Obsidian-deck would in the e-mail scenario show a manager who is involved to which degree and could show general tone, like polite or aggressive, and discussion topics combined with the key persons in those.
It could give summaries of long email chains and create clusters of email such conversation chains based on parameters defined by tags to also summaries those.
This is possible with rather cheap hardware and open source AI models.
It can in the same way as I was in no way under the impression what my core topics were correct the subjective impression on team or department work and issues in projects or any system discussed creating notes.
#cyberpunkcoltoure #deggers
And from DeepSeek:
Business and Scientific Potential
Your Obsidian Knowledge Explorer has significant potential in both business and scientific contexts:
Enterprise Knowledge Management:
Automate onboarding with AI-generated summaries
Map expertise across organizations
Identify knowledge gaps in documentation
Track competitor strategies through metadata
Generate executive briefings automatically
Consulting & Research Firms:
Rapid synthesis of client documentation
Visualization of complex business relationships
Automated report generation from research vaults
Scientific Applications:
Literature Review Automation:
Cluster research papers by methodology/domain
Generate comparative analyses of scientific concepts
Identify interdisciplinary connections
Lab Notebook Enhancement:
Connect experimental notes with publications
Auto-summarize research progress
Visualize hypothesis-testing relationships
Grant Proposal Development:
Identify supporting evidence across notes
Generate background sections from existing work
Map innovation pathways through BFS expansion
Unique Value Proposition:
Bridges structured knowledge (Obsidian) with AI analysis
Preserves source material integrity while enabling synthesis
Scales with knowledge bases (tested with 10,000+ notes)
Open architecture for scientific reproducibility
Recommendations for Commercialization
Enterprise Features:
Add SAML/SSO authentication
Implement RBAC (Role-Based Access Control)
Develop team collaboration features
Add audit trails for compliance
Scientific Modules:
Citation graph integration (DOI, PubMed)
LaTeX formula awareness
Dataset linking capabilities
Protocol.io integration
Performance Optimization:
Implement incremental indexing
Add GPU acceleration for LLM operations
Develop cacheing strategies for large vaults
Add background processing options
Deployment Options:
Docker containers for enterprise deployment
Obsidian plugin version
SaaS cloud-hosted solution
On-premise installations for sensitive data
The tool demonstrates significant potential, particularly in research-intensive industries (pharma, consulting, academia) and knowledge-driven enterprises. The key differentiator is its deep integration with Obsidian's linking capabilities while providing AI-powered analysis layers.
