Airtop Web Agent

This workflow implements an intelligent chat assistant named Pizzaro, primarily used for pizza ordering. Through natural language interaction, customers can easily inquire about the menu, place orders, and check order status. The system integrates AI models and various tools to obtain product information in real time and automatically process orders, effectively addressing the slow response and error-prone issues of traditional ordering processes. This enhances the efficiency and accuracy of customer service and is suitable for various scenarios such as dining and e-commerce platforms.

This workflow primarily utilizes AI technology to automatically identify and extract key information from payslip images sent by users in chat tools, including status, sender, receiver, date, and amount. The extracted data is replied to the user in real-time and simultaneously saved to a spreadsheet. This process not only enhances the efficiency of payslip information processing and reduces manual input errors but also achieves intelligent classification and contextual memory, significantly improving the user interaction experience. It is suitable for the automation needs of corporate HR and finance departments.

This workflow automatically monitors audio file uploads in Google Drive, downloads them, and utilizes OpenAI's Whisper model for high-quality transcription. It then generates a structured summary using the GPT-4 Turbo model and finally synchronizes the results to a Notion page. This effectively addresses the inefficiencies of traditional audio management and information extraction, significantly enhancing the utilization efficiency of audio materials. It is suitable for various scenarios such as meeting notes, interview organization, and academic lectures, helping users quickly access key information.

This chat assistant workflow is based on Slack messages and can automatically receive user messages while filtering out distractions from the bot. It utilizes a built-in AI model combined with contextual memory and various knowledge tools to provide personalized and direct responses, simulating the style of the character Gilfoyle from "Silicon Valley." This tool not only enhances team communication efficiency but also automatically queries real-time information, improving the user interaction experience. It is suitable for scenarios such as internal corporate support and knowledge base inquiries.

This workflow enables the reception of images sent by users via Telegram, automatically invoking intelligent analysis services for in-depth interpretation. It then promptly replies to the user with the analysis results in text form. The system can detect images in real-time, quickly process messages without images, and operates without human intervention, significantly enhancing the efficiency of image content recognition and feedback. It is suitable for various scenarios such as community management, customer service, and marketing.

This workflow automatically extracts content from YouTube videos via Telegram, generates structured summaries, and engages in natural language interaction with users. Users only need to provide the video link to receive a summary of the video's key points and intelligent Q&A related to the content. This process not only enhances the efficiency of information retrieval but also allows users to engage in in-depth discussions with AI anytime and anywhere, making it suitable for various scenarios such as education, content creation, and personal learning.

This workflow utilizes an AI vision model to automatically verify whether uploaded passport photos meet the standards set by the UK government, significantly improving review efficiency and reducing the risk of human error. By automatically downloading, resizing, and analyzing the photos, the system can quickly detect key indicators such as clarity, background, composition, expression, and size. This addresses the cumbersome and inconsistent standards of traditional review processes and is suitable for scenarios such as online submission platforms, immigration management systems, and ID photo services.

This speech assistance workflow is designed to instantly receive users' speech draft manuscripts via Telegram, utilizing advanced AI technology for speech-to-text conversion and content analysis. It provides feedback suggestions and generates speech drafts. The system supports multiple rounds of interaction and dynamically adjusts prompts to meet the needs of different stages. The workflow also automatically manages memory to ensure precise feedback, achieving formatted text output. It addresses issues such as the lack of professional feedback in speech preparation, difficulties in voice conversion, and poor content delivery, ultimately enhancing the quality and efficiency of users' speeches.