AI Agent To Chat With YouTube

This workflow automates the production of video content narration, covering video downloading, frame extraction, narration script generation, and voiceover audio production. By combining multimodal large language models and text-to-speech technology, it significantly enhances the efficiency and quality of video narration, and automatically uploads the generated audio files to Google Drive for easy storage and sharing. It is suitable for fields such as media production, education and training, and marketing, simplifying the traditional content creation process.

This workflow enables automated personalized AI video generation and status monitoring. Users can easily configure AI avatars, voices, and text content, and the system will automatically send generation requests and poll the status in real-time until the video is completed and a usable link is provided. This process simplifies cumbersome API calls and enhances the efficiency of video content production, making it suitable for businesses, educational institutions, and content creators to quickly generate personalized videos while lowering the technical barrier.

This workflow aims to enhance meeting efficiency by automatically retrieving Zoom meeting data and transcribing recordings. It utilizes AI to generate meeting minutes, extract tasks and to-dos, and intelligently create tasks in ClickUp while scheduling follow-up meetings. The entire process automates the flow from capturing meeting content to task assignment and scheduling, addressing issues such as the cumbersome nature of manually organizing meeting minutes, untimely task distribution, and time-consuming information transfer. It is suitable for organizations with frequent meetings and cross-departmental collaboration.

This workflow implements the storage and management of user conversation history by building an intelligent chatbot based on the Line platform, ensuring continuity and contextual relevance in conversations. Utilizing Google Sheets as a lightweight database, the chatbot can automatically archive chat records and generate polite and friendly responses through advanced AI models, suitable for customer support and intelligent Q&A in the Thai language environment. This system effectively addresses the shortcomings of traditional chatbots in memory and data management, enhancing the user interaction experience.

This workflow automatically captures book information from specified web pages using a no-code approach. It utilizes AI technology to extract structured data such as book titles, prices, stock status, and purchase links, and saves this information to Google Sheets. It addresses the issues of complex coding and inaccurate information extraction associated with traditional web crawlers. This solution is suitable for fields such as publishing, e-commerce, and market research, enhancing data acquisition efficiency, reducing manual intervention, and providing users with an intelligent data organization tool, significantly saving labor costs.

This workflow integrates with Apple Shortcuts, allowing users to interact with the smart assistant using the voice command "Hey Siri, AI Agent." The user's voice will be transcribed in real-time and sent to the system, which utilizes the OpenAI GPT-4 model to generate natural voice responses that are directly fed back to the user. This process addresses the user's desire for natural voice conversations, enhancing the convenience and efficiency of interactions in smart home and mobile office scenarios, while providing personalized real-time responses.

This workflow automatically generates standard Q&A templates for different services by reading data from Google Sheets. It utilizes AI technology to intelligently complete some answers, enhancing the professionalism and naturalness of the content. The final Q&A is saved in JSON format and uploaded to Google Drive, facilitating one-click publishing to various content management systems. This helps businesses quickly build high-quality FAQ content, improve user experience and knowledge base quality, and address the time-consuming issue of manually writing Q&A.

This workflow enables the automatic generation of detailed text descriptions after users send images via a Telegram bot, utilizing the GROQ LLAVA image understanding API for intelligent recognition. Users simply need to upload an image, and the system will convert it to Base64 format and call the API, ultimately replying to the user with the generated text. This process not only simplifies traditional image recognition methods but also enhances user experience, making it suitable for scenarios such as customer service automation, content management, educational tutoring, and visual assistance, allowing non-professional users to easily obtain information from images.