Welcome to the official knowledge repository of Case Done, where we document, analyze, and share insights about Artificial Intelligence and Generative AI technologies. This repository serves as a centralized resource for our team, clients, and the broader AI community.
This knowledge base is designed to be a living document that evolves with the rapidly changing AI landscape. Here you'll find in-depth articles, analyses, and resources covering various aspects of AI and Gen AI, from technical deep dives to business applications and industry trends.
- Technical Analyses: Deep dives into AI technologies, frameworks, and protocols
- Industry Trends: Analysis of emerging patterns and developments in the AI space
- Implementation Guides: Practical approaches to implementing AI solutions
- Case Studies: Real-world applications and their outcomes
- Research Summaries: Digestible summaries of important academic papers
An in-depth analysis of Google's A2A protocol, its implications for AI development, and how it compares with other standards like the Model Context Protocol (MCP).
Create winning AI products with the "AI Emergence Rate" concept - a framework for building AI that continuously evolves through user interactions and proprietary data for lasting product advantage.
| Post | Description |
|---|---|
| Google's Agent-to-Agent (A2A) Protocol | A comprehensive exploration of Google's A2A protocol, how it enables AI agents to collaborate across platforms, and its comparison with Anthropic's Model Context Protocol (MCP). |
| Continuous AI, Why It's Your Product's Future | Create winning AI products with the "AI Emergence Rate" concept and how building AI that continuously evolves through user interactions and proprietary data can create lasting product advantage. |
This repository is regularly updated with new content. Check back often for the latest insights and analyses.
For questions, suggestions, or collaborations related to this knowledge base, please contact the Case Done team.
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