What began as a means of helping myself, has turned into something much bigger!
When I first created the Azure Periodic Table, it was a simple idea not only scale my own expertise, but also give my colleagues, customers, and partners an easy-to-navigate, self-service tool for understanding Azure services. It saved countless hours of explaining the same concepts, empowered non-technical users to get familiar with Azure, and reinforced Data#3’s standing as trusted advisors in the Azure space.
However, as Azure grew, so did the challenge of keeping the Azure Periodic Table accurate, relevant, and consistent.
Service names changed. Features evolved. Entire products retired. New products were launched. With multiple contributors adding content over time, the site became a patchwork of writing styles, technical depth, and formats.
It became clear that the very resource designed to make life easier was becoming hard to maintain.
Keeping up with Azure’s rapid pace was creating bottlenecks:
The result? Slow updates that proved costly, and were prone to human error.
That’s when I had the idea: What if the Azure Periodic Table could manage itself?
In just six days, the Azure Periodic Table evolved from a manually curated website to an autonomous, AI-driven, self-updating knowledge platform.
It now operates with zero web development effort required. All content lives in SharePoint. When updates are made, automation takes over:
The results have been staggering.
| Metric | Previous Version | Current Version |
| Total word count | 68,243 | 224,747 |
| Content workflow duration | – | 180 seconds |
| Refinement workflow duration | – | 60 seconds |
| Audio workflow duration | – | 40 seconds |
| Manual effort required | Hundreds of hours | Near zero |
AI doesn’t just create—it evolves and enhances content dramatically. Through these iterations, content becomes significantly more insightful, authoritative, and valuable.
Example – Before AI: 468 words
Example – After Eve Trigger: 954 words
Example – After Refinement: 1380 words
Related Azure service links
For the first time, the Azure Periodic Table automatically creates meaningful, contextual links between services. Readers are guided through natural pathways of related technologies, encouraging deeper exploration and engagement.
Dynamic external Microsoft links
Manually hunting down Microsoft documentation links is over. The system now verifies and corrects external URLs on the fly, ensuring that every link remains current, accurate and functional, even as Microsoft renames services or moves pages.
Audio narration for every service
Accessibility is now a core feature. Each service page includes a high-quality, conversational audio narration, complete with metadata announcing its presence to screen readers. Whether users are commuting, multitasking, or require auditory support, the Azure Periodic Table is ready.
Custom prompt controls
Need more detail on a service? A richer explanation? A licensing graphic? No problem. Content authors can add specific instructions directly into SharePoint, telling the AI exactly how to shape the content during generation and refinement.
Intelligent, Automated Content Generation
Eve Trigger – Precision automation at scale
Imagine having a tireless assistant dedicated to keeping your service descriptions current and comprehensive. Our Eve Trigger workflow harnesses Azure AI’s power to automatically:
The result? Continuously updated, meticulously accurate content, reviewed and seamlessly deployed through SharePoint approval workflows.
Average Completion: Just 8 minutes per update cycle!
Eve Refinement – Professional quality, AI efficiency
Quality content demands an expert touch. Enter Eve Refinement, our advanced AI copywriting workflow:
Average Completion: Only 2 minutes per refinement!
Eve Audio – Accessibility redefined
Understanding Azure has never been easier—literally. The Eve Audio workflow transforms written descriptions into succinct, engaging audio summaries:
Average Completion: 20 seconds per audio clip!
The site itself is built for performance, scalability, and security:
This is more than just a content refresh. It’s the creation of a living, breathing knowledge platform that:
It’s hard to think that we’re only just getting started. Future enhancements are already on the roadmap, including:
And we’re already exploring ways to bring this model to our customers—helping you build your own AI-driven, self-sustaining knowledge hubs using Azure technologies.
Visit the new Azure Periodic Table and see the future of Azure learning.
Whether you’re just getting started with Azure or looking to deepen your expertise, there’s never been a better way to explore.
Data#3 is a member of Microsoft’s AI Cloud Partner Program, holding the Azure Expert Managed Solution Provider (AEMSP) accreditation. Our validated maturity journey for cloud adoption has been proven to successfully guide and support customers throughout their Azure journey.
At every stage, we draw on our deep expertise and advanced Azure certifications. Aligned to Microsoft’s Cloud Adoption Framework (CAF) methodologies. Contact our team to find out how we can help you on your Azure journey.