YogiAI

This workflow implements the automated fine-tuning of OpenAI models. Users can download training data from Google Drive and upload it to OpenAI for training. Through API calls, customized models are created, supporting manual triggering of testing processes to achieve intelligent question-and-answer interactions. The entire process simplifies cumbersome operations, significantly enhances fine-tuning efficiency, and helps businesses and individuals quickly obtain AI assistants that meet specific needs. It is widely applicable in scenarios such as travel assistants and customer service robots.

This workflow implements AI-based automated image editing. Users can upload or select images via a web page, draw local masks, and input text prompts, which then call the intelligent fill API for image content generation. The integrated canvas editing library and comparison slider component allow users to intuitively compare the original image with the generated image. The operation is simple and the effects are evident, greatly enhancing image editing efficiency and making it suitable for various scenarios such as e-commerce, graphic design, and advertising.

This workflow implements intelligent translation of voice messages through a Telegram bot, supporting real-time voice-to-text conversion and bidirectional translation in 55 languages. Users simply need to send a voice message, and the system automatically detects the language and returns the translated text along with synthesized speech, facilitating cross-language communication. It is suitable for language learning, international travel, and business communication, greatly enhancing communication efficiency, eliminating language barriers, and providing users with a more convenient communication experience.

This workflow automatically generates keyword tags through intelligent analysis of newly uploaded images and embeds them into the image metadata, achieving automatic labeling of image content. It addresses the time-consuming and labor-intensive issues of traditional manual tagging, significantly improving the organization and retrieval efficiency of image resources. This is particularly suitable for scenarios that require efficient image management, such as media organizations, e-commerce platforms, and design teams. With this automated process, users can easily achieve intelligent image management and save on labor costs.

This workflow implements automated research, content retrieval, and operation extraction for API documentation. It combines web search, web crawling, and natural language processing technologies to support the generation of custom API architectures. Through intelligent analysis and multi-stage task management, it efficiently filters out irrelevant information, reduces manual parsing work, and stores API operations in a structured manner, thereby enhancing the efficiency of API integration and documentation maintenance. It is suitable for developers, product managers, and technical teams, significantly accelerating project progress and improving the accuracy of information collection.

This workflow automatically monitors new videos from a specified YouTube channel, extracts English subtitles, and uses AI to generate a concise three-point summary, which is then pushed in real-time to a Discord channel. Through this process, users can quickly grasp the core content of the videos, saving time on watching while enhancing interaction and information dissemination within teams or communities. It is suitable for content creators, educational institutions, and anyone needing to efficiently share video information, simplifying the process of sharing video content.

This workflow implements an intelligent Discord Q&A bot that can automatically respond to user inquiries about YouTube channel content. By combining the Google Gemini language model with contextual memory, users can receive accurate and personalized answers to their questions, while also supporting multi-turn conversations to enhance the interactive experience. The automated responses reduce the pressure on human customer service, ensuring quick and accurate replies, making it suitable for Discord community operators and content creators, effectively improving community engagement efficiency.

This workflow integrates AI agents with Google Calendar to achieve natural language-driven calendar event management and text processing capabilities. Users can automatically search for, create, update, and delete calendar events while enjoying an intelligent interactive experience. It also supports diverse functions such as text case conversion, random user data generation, and joke retrieval, making it suitable for smart schedule management for both individuals and teams, thereby enhancing office efficiency and user experience.