🤖 Telegram Messaging Agent for Text/Audio/Images

This workflow receives users' cryptocurrency names via Telegram and utilizes the CoinMarketCap API to query the latest prices in real-time. By integrating OpenAI's intelligent language processing technology, it can understand diverse inquiries and manage conversations, achieving context memory to enhance interaction effectiveness. Users can quickly obtain authoritative price information without needing to visit multiple websites, making it suitable for investors, financial analysts, and the blockchain community. This greatly simplifies the query process and improves information retrieval efficiency.

CallForge is an intelligent workflow focused on the automatic extraction and analysis of Gong sales call recordings. It enhances the efficiency and accuracy of sales data processing by integrating product and competitor data, cleaning call transcripts, and utilizing AI technology to generate structured analytical results. This workflow supports sales teams in quickly obtaining key information and optimizing strategies, while also meeting the needs of multiple departments such as product and market analysis and customer service, thereby driving business growth for the enterprise.

This workflow automatically loads text prompts from a specified GitHub repository, intelligently identifies and replaces variable placeholders to ensure the content is complete and accurate. Through a variable validation mechanism, if any missing information is detected, the process will automatically terminate and provide feedback on the error, ensuring the accuracy of the handling. The processed complete prompts can be directly passed to an AI agent for intelligent text generation or analysis, making it suitable for various scenarios such as marketing, content creation, and automated development, effectively enhancing work efficiency and content personalization.

The OpenSea NFT Agent Tool is an intelligent assistant that utilizes AI technology to integrate various interfaces, quickly obtaining information related to NFTs, such as user profiles, collections, contract details, and metadata. This tool can automate the handling of complex queries, ensuring that request formats are correct and enhancing the user experience. It is suitable for NFT collectors, investors, and developers, helping them stay updated on market trends, analyze asset performance, and streamline the data acquisition process for efficient digital asset management and decision support.

This workflow utilizes AI technology to automatically process and analyze sales calls, extracting key information and generating market insights, recurring topics, and actionable recommendations. By integrating with the Notion database, it enables structured storage and sharing of data, supporting efficient collaboration between sales and marketing teams. Additionally, it incorporates intelligent conditional judgments and throttling mechanisms to ensure the accuracy and stability of data processing, helping businesses enhance information utilization and competitive advantage.

This workflow utilizes the self-hosted large language model Mistral NeMo, triggered by chat messages, to intelligently extract users' personal information data. It combines structured output parsing and an automatic correction mechanism to ensure that the extracted data complies with JSON format specifications, enhancing the accuracy and reliability of the data. It is suitable for businesses and developers that require efficient and accurate handling of personal information, particularly teams that emphasize data privacy and self-hosted solutions. This significantly improves the automation level of customer information collection and reduces manual intervention.

This workflow utilizes Google's Gemini 2.0 Flash AI model to intelligently analyze video content. Users simply need to input the video URL, and it will automatically download and upload to the Gemini platform, providing detailed visual descriptions, including key elements, actions, and brand information. This automated process significantly enhances the efficiency and accuracy of video processing, addressing the time-consuming issues associated with traditional manual analysis. It is applicable in various scenarios such as content review, media management, and marketing, thereby improving the accessibility and business value of videos.

This workflow integrates a Telegram chatbot with the OpenAI language model to enable intelligent consultation and responses for meeting scheduling. Users can quickly query and arrange meeting schedules within Telegram, avoiding cumbersome manual searches. It utilizes Google Sheets to dynamically retrieve meeting data and convert it into Markdown format, providing contextual support for the AI, thereby enhancing response speed and accuracy. This automated system is suitable for scenarios such as community events and corporate meetings, improving information retrieval efficiency and optimizing schedule management.