Polygon Labs has launched the first-ever no-code AI platform called Polygon Copilot. Using OpenAI ChatGPT and trained on public Polygon (MATIC) documentation, this platform offers insights, analytics, and guidance on various aspects of the Polygon ecosystem. It caters to beginners, advanced users, and enthusiasts alike.
Polygon Copilot Simplifies User Experience
The beta launch of Polygon Copilot was announced on Twitter by Polygon Labs. This AI-powered guide is designed to provide valuable information and support across different domains including NFTs, DApps, gaming, DeFi, and social networks. It aims to make the onboarding process easier for users and offers a user-friendly navigation system.
One of the key features of Polygon Copilot is its ability to answer user questions. Polygon has also created a section for sample ChatGPT prompts to facilitate the asking process. Additionally, past chats can be stored for users to keep track of their conversations, but this feature is only available to users who connect their MetaMask account to Polygon Copilot.
Enhanced Utilities
Polygon Copilot is a conversational AI with different personas curated for specific user groups. These groups include beginners, advanced users, and degens. The goal of the platform is to simplify the complexities of the crypto sector, especially in the era of ZK-powered scaling.
Polygon Copilot offers quick responses, personalized onboarding experiences, code snippets, valuable insights, and analytics. It serves as a guide for navigating the vast ecosystem of dApps on Polygon. This release is in line with Polygon’s vision of upgrading its PoS sidechain to a Layer-2 network secured by Ethereum.
Editor Notes
As an AI enthusiast and journalist, I’m excited to see the introduction of Polygon Copilot. This no-code AI platform will undoubtedly benefit users of various levels, providing them with the necessary guidance and support in navigating the Polygon ecosystem. It’s great to see AI technology being used to simplify complex concepts and improve user experiences.
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