AI-Powered Web Exploration - WebQuery

Introduction: Dive into links and spark conversations. Welcome to the future of web understanding.
Added on: Jan 22, 2025
AI-Powered Web Exploration - WebQuery

What is AI-Powered Web Exploration - WebQuery

This product allows users to interact with articles and web content directly by registering links and asking questions. It leverages AI to provide detailed answers based on the content of the articles, enabling users to gain insights without reading the entire text.

How to Use AI-Powered Web Exploration - WebQuery

  1. Upload the link(s) of the article(s) you want to interact with. You can enter multiple links and provide a name for identification.
  2. Wait for the registration process to complete. The app will read and group the article information.
  3. Once registration is complete, you can ask any question about the article, and ChatGPT will provide answers based on the article's content.

Use Cases of AI-Powered Web Exploration - WebQuery

This tool is ideal for users who want to quickly extract information from articles, gain new perspectives, or engage in deeper understanding without spending time reading the entire content. It is particularly useful when time is limited or when dealing with multiple articles.

Features of AI-Powered Web Exploration - WebQuery

  • Direct conversation with articles

    Users can register links and ask questions directly to the AI, which responds based on the article's content.

  • AI-powered understanding

    The AI understands the content of registered articles in detail, addressing user questions and providing insights.

  • No need to read entire articles

    Users can obtain necessary information quickly without reading the full article, saving time and effort.

FAQs from AI-Powered Web Exploration - WebQuery

1

How many links can I upload at once?

The Basic plan allows uploading up to 10 links at once, while the Premium plan allows up to 50 links.
2

Can I review past interactions?

Yes, both Basic and Premium plans allow users to review past history of interactions with articles.