Travel Planning Agent with Couchbase Vector Search, Gemini 2.0 Flash, and OpenAI

This workflow automatically joins online meetings through an intelligent assistant, enabling real-time voice transcription to accurately capture and organize meeting dialogues. By leveraging AI technology, it can perform intelligent analysis and generate notes based on keywords, while storing structured data for easy retrieval later. This solution significantly enhances the efficiency and accuracy of meeting records, making it suitable for remote teams, project management, and automatic generation of meeting minutes across various industries, thereby facilitating team collaboration and information transparency.

This workflow receives user text prompts in real-time through a Webhook interface and utilizes OpenAI's image generation API to create corresponding images. Users simply need to paste the URL with the prompt into their browser to quickly obtain the AI-generated image. The entire process is automated and responsive. It simplifies the complex traditional image generation process, allowing users to easily create without writing code, making it suitable for various scenarios such as designers, content creators, and developers.

Airtop Web Agent is an intelligent web automation tool that can perform complex web interaction operations such as querying, clicking, and inputting based on user natural language instructions. It utilizes AI technology to automatically parse instructions, simplifying the complexities of traditional web automation. Additionally, it provides real-time execution results through Slack, facilitating team communication and collaboration. It is suitable for data scraping, market research, and integration of internal workflows, enhancing work efficiency and response speed.

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.