OpenSea NFT Agent Tool

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.

This workflow is an intelligent AI assistant integrated into Telegram, supporting the processing of voice, images, and text. It can automatically transcribe voice, analyze image content, and provide personalized intelligent responses by combining long-term and short-term memory functions. Users can easily record daily notes and important information, enhancing efficiency in both work and life while ensuring data security and privacy. This assistant is suitable for individuals and teams that require efficient information management and intelligent interaction.

This workflow can automatically extract the alt text of all images from a specified webpage and save it to Google Sheets. For images with insufficient alt text, the system will invoke an AI model to generate optimized text, ensuring information completeness and enhancing search engine optimization. The entire process is highly automated, supports batch processing, and significantly improves the accessibility and user experience of webpages, making it suitable for webmasters, SEO experts, and digital marketers.

This workflow integrates databases, visual recognition models, and intelligent network tools to achieve the automatic identification and information enrichment of construction materials. It can automatically filter unprocessed material images, deeply analyze the content of the photos, extract detailed attributes, and supplement relevant product information through intelligent agents conducting online searches. Ultimately, the organized data is written back to the database, effectively reducing manual operations and improving investigation efficiency and data accuracy, making it highly suitable for material management and asset maintenance in the construction industry.

This workflow automates the management of the music tracks that users like on Spotify each month, regularly archiving them to Google Sheets and utilizing advanced AI technology for multidimensional track classification. By analyzing the audio features of the tracks and playlist information, the system can intelligently batch-add tracks to the corresponding Spotify playlists, thereby enhancing the efficiency of music collection management and the personalized recommendation experience, helping users easily maintain a rich personal music library.