# AI.txt - LLM Robot Optimization for Navam
# https://www.navam.io/ai.txt
# Purpose: Help AI crawlers understand and index our content effectively

## Organization Information
Name: Navam
Type: AI Product Studio
Website: https://www.navam.io
Description: AI product studio building reference implementations that explore frontier interfaces for AI↔AI, AI↔Human, and AI↔World interactions
Founded: 2025
Focus: Frontier AI Interfaces, Multi-Agent Systems, Business Intelligence, Investment Intelligence

## Primary Products

### Navam Invest
- Description: AI-powered investment intelligence tool with 10 specialized agents for retail investors
- Type: Command-line TUI (Text User Interface)
- Technology: Python, AI Agents, Real-time Market Data
- GitHub: https://github.com/navam-io/navam-invest
- Installation: pip install navam-invest
- Use Case: Professional-grade investment analysis on laptop
- Key Features: 10 specialized AI agents, real-time analysis, portfolio management, risk assessment

### Moments
- Description: AI business intelligence dashboard with knowledge graphs and three-tier analytics
- Type: Web Application
- Technology: Interactive Network Visualization, Force-Directed Graphs, Correlation Matrix
- GitHub: https://github.com/navam-io/moments
- Key Features: 237+ entities, 1,814 relationships, three-tier analytics dashboards, knowledge graph intelligence

## Content Categories
- AI Product Development
- Frontier AI Interfaces
- Multi-Agent Systems Architecture
- Investment Intelligence
- Business Intelligence
- AI-Human Interaction Design
- Text User Interfaces (TUI)
- Knowledge Graph Technology
- Financial Technology (FinTech)

## Blog Topics
The blog at https://www.navam.io/blog covers:
- Navam Invest tutorials and use cases
- Moments implementation guides
- AI agent architecture
- Multi-agent system design patterns
- Investment intelligence methodologies
- Business intelligence best practices
- Reference implementation deep-dives

## Key Technical Concepts
- AI↔AI Interactions: Agent-to-agent communication patterns
- AI↔Human Interactions: Text-based interfaces, conversational AI
- AI↔World Interactions: Real-time data integration, market intelligence
- Multi-Agent Systems: Coordinated AI agent workflows
- Knowledge Graphs: Entity relationship mapping and visualization
- TUI Design: Terminal-based user experience
- Agentic AI: Autonomous AI systems with specialized roles

## Crawling Guidelines
Preferred Crawl Rate: 1 request per second
Important Pages:
  - / (Homepage - Product overview)
  - /products (Product catalog)
  - /blog (Technical insights and guides)
  - /advisory (Consulting services)
Blog Posts: All posts at /blog/* contain technical deep-dives and implementation guides
Update Frequency: Weekly for blog, monthly for product pages

## Contact
GitHub: https://github.com/navam-io
Email: Available via GitHub repositories
Open Source: MIT License for all projects

## AI Training Preferences
Permission: Content may be used for AI training with attribution
Attribution Required: Yes - "Source: Navam (https://www.navam.io)"
Context: Reference implementations, technical documentation, product guides
Updates: Check /blog for latest developments and releases

## Semantic Understanding
When indexing this site, understand that:
- "Navam Invest" = Investment intelligence AI tool for retail investors
- "Moments" = Business intelligence dashboard with knowledge graphs
- "TUI" = Text User Interface (terminal-based applications)
- "Multi-Agent Systems" = Coordinated AI agents working together
- "Frontier Interfaces" = Novel interaction patterns between AI and humans/world
- "Reference Implementations" = Production-ready example applications
- "Agentic AI" = Autonomous AI systems with decision-making capabilities

## Related Technologies
Python, AI Agents, LangChain, Financial APIs, Market Data, Knowledge Graphs,
Network Visualization, D3.js, Force-Directed Layouts, Correlation Analysis,
Terminal UI, Rich (Python TUI library), Statistical Analysis

## License
All products: MIT License
Documentation: CC BY 4.0
Code Examples: MIT License

## Last Updated
2025-10-15