OpenAI-model-examples

This workflow dynamically manages user access to AI tools based on the roles and available tools set by users in Airtable, using intelligent permission control. It combines technologies such as Telegram message triggers, OpenAI GPT-4o conversation processing, and permission verification to ensure that users with different roles can only access authorized functions, preventing unauthorized use. This system is suitable for scenarios such as multi-role management within enterprises, SaaS platform permission control, and intelligent customer service, effectively enhancing security and user experience.

This workflow can automatically convert 2D images into 3D models. Users only need to provide the image URL to generate high-quality 3D models, which are then automatically saved. By combining AI technology with online services, the process supports manual or scheduled triggers, significantly improving efficiency. It is suitable for e-commerce, game development, education and training, and design creation, greatly reducing the time cost and technical barriers of 3D modeling, allowing users to quickly obtain 3D visual materials.

This workflow utilizes a custom-written chain of large language model nodes, combined with OpenAI's GPT-4o-mini, to achieve flexible natural language processing and question-answering capabilities. Users can customize inputs and outputs, call external knowledge bases such as Wikipedia, and support complex multi-step reasoning and knowledge retrieval. It is suitable for scenarios such as intelligent Q&A, enterprise knowledge base retrieval, and research and development assistance, enhancing the depth and accuracy of automated processing while lowering the barriers to AI integration.

This workflow implements an automated knowledge subscription service, allowing users to select topics of interest through a form and set their preferred frequency for receiving updates. The system utilizes AI to generate personalized knowledge content and accompanying images, which are regularly pushed to users via email. Additionally, it offers a convenient unsubscribe feature to ensure a positive user experience. This service is suitable for educational platforms, marketing campaigns, and online communities, efficiently managing subscriber information and automatically sending high-quality content.

This workflow utilizes intelligent web crawling technology to automatically scrape all social media links from specified company websites and outputs them in a standardized JSON format, significantly improving the efficiency and accuracy of data collection. By integrating the OpenAI GPT-4 model, it ensures in-depth analysis of web content and efficient link extraction, automatically filtering out invalid or duplicate links. It supports various application scenarios such as marketing, recruitment strategy development, and data analysis, helping users quickly obtain the information they need and enhancing decision-making capabilities.

This workflow builds an intelligent conversational assistant that can automatically integrate Wikipedia and real-time weather information based on the user's natural language requests, providing accurate responses. With a contextual memory feature, the assistant can continuously track conversation history, avoiding the need for repeated input of background information, thereby enhancing the user experience. It is suitable for scenarios such as smart customer service, educational training, and enterprise knowledge management, significantly improving the efficiency and accuracy of information retrieval.

The Parents Smart Bot is an intelligent assistant designed specifically for busy parents, capable of efficiently managing household affairs through natural language understanding of user commands. It supports features such as voice-to-text, schedule management, email handling, and information retrieval, helping users reduce cognitive load and improve their life and work efficiency. By receiving commands through a unified interface, the system intelligently allocates tasks, maintains contact and data memory, and provides personalized assistance services, making household management easier and more convenient.

This workflow combines multiple API interfaces with advanced AI models to enable intelligent querying and real-time analysis of data from decentralized exchanges (DEX) on the blockchain. Users send query information via Telegram, and the system automatically parses and calls the relevant interfaces to provide the latest token information, trading pairs, and liquidity pool data. It supports contextual memory to enhance the user experience. This tool aims to help investors and analysts quickly grasp market dynamics, improve decision-making accuracy, and lower the technical usage barrier.