Hello Community,
I’m an AI developer with experience in creating interactive, AI-powered tools that simplify and enhance how users interact with complex information. I’ve previously built an interactive Bitcoin whitepaper using AI, and I’d like to propose implementing a similar solution for the Polkadot and Kusama documentation, including whitepapers and other technical resources.
This solution will make our documentation more engaging and accessible while providing valuable insights into the community’s understanding of key concepts.
Currently, the Polkadot ecosystem benefits from two AI-based tools:
- Polkadot Support Bot: A bot for support queries, leveraging various sources like the Polkadot Wiki, blog posts, and support articles.
- PolkaBot.ai: A community-developed tool that answers queries using a similar range of resources.
Both tools are valuable in their respective roles, but my proposal differs by focusing exclusively on making the documentation itself interactive, enabling direct engagement with the material.
I have attached the proposal that describes what I am aiming to implement on the docs. It’s more than just an AI.
Drive link for the proposal is here: LME x Kusama.pdf - Google Drive
What Makes This Solution Unique?
- Interactive Highlighting and Explanations
Users will be able to highlight any section of the whitepaper or documentation and instantly receive a contextual explanation. This reduces friction for readers trying to understand complex concepts and allows them to explore information at their own pace. - Pre-Highlighted Phrases for Guided Learning
Key sections of the documentation can be pre-highlighted to encourage users to explore essential topics, providing a guided learning experience tailored to the needs of the community. - Analytics for Insights
The tool will gather anonymized data on frequently misunderstood concepts and user queries. These insights can help improve messaging and highlight areas of the documentation that require refinement. - Multilingual Accessibility
The solution will support multiple languages, making Polkadot and Kusama documentation accessible to a broader, global audience. - Custom AI Training for Polkadot and Kusama
Unlike general-purpose bots, this AI will be trained exclusively on Polkadot and Kusama-specific content, ensuring precise and relevant answers aligned with the ecosystem’s unique terminology and structure. - Integration with Multimedia
Complex diagrams, charts, and visuals within the documentation will include clear, concise explanations, helping users better understand key data points and workflows. - Sentiment-Driven Responses
The AI will adapt to the tone and intent of user interactions, creating a personalised, engaging experience that aligns with Polkadot’s community values.
How It Benefits the Community
- Boosting Engagement
By transforming static documentation into an interactive resource, this solution will significantly increase community engagement and accessibility, helping onboard new users and developers. - Improving Documentation Quality
Analytics on user interactions will identify gaps in understanding and provide actionable insights for improving the content. - Empowering Non-Technical Users
Simplified summaries and clear explanations will make Polkadot’s technical concepts approachable for non-developers, expanding the ecosystem’s reach. - Scalable and Future-Ready
This approach can extend beyond whitepapers to other resources, such as technical blogs, governance proposals, and community updates.
I’m eager to hear feedback from the community on this proposal. Together, we can create a more accessible and engaging documentation experience for the Polkadot and Kusama ecosystems.
Looking forward to your thoughts and support!
Owais