Automated Image Analysis and Response via Telegram

This workflow automates the processing of user-uploaded reference images and target descriptions by combining multimodal AI technology to generate new images with a similar visual style. Users can submit images and text prompts, and the system will generate up to four stylistically consistent images, organizing them into a webpage for sharing or sending to an email. This simplifies the design process, lowers the technical barrier, and is suitable for brand designers, marketing teams, and art creators, enhancing the production efficiency of creative content.

This workflow combines the intelligent features of an AI chat agent, supporting long-term memory and note storage, with real-time interaction via Telegram. Users can enjoy a personalized and context-aware conversational experience, as the AI can remember user preferences and important information, enhancing the coherence of communication. Additionally, integration with Google Docs enables cloud storage, ensuring data security, making it suitable for various scenarios such as personalized smart assistants, remote work, and educational tutoring, significantly improving efficiency in both work and life.

This workflow primarily provides users with intelligent virtual assistant services. It receives voice and text messages in real-time through Telegram, supports voice-to-text conversion, and utilizes the GPT-4 model for conversation and information queries. It can automatically access Gmail, Google Calendar, and the Baserow database to quickly provide email summaries, schedule arrangements, and task information, ensuring coherence in conversations and personalized responses. Overall, it enhances the user's work efficiency in multi-channel information interactions.

This workflow integrates the latest chat and reasoning models, supporting multiple invocation methods to achieve intelligent and continuous contextual dialogue processing. By flexibly configuring system messages and model switching, it enhances natural language understanding and reasoning capabilities, addressing the challenges of deep reasoning and context management faced by traditional chatbots. It is suitable for scenarios such as intelligent customer service, enterprise knowledge base Q&A, and research and development assistance, providing users with an efficient and accurate interactive experience.

This workflow is designed to automate image editing. Users can upload images and draw masks through a web editor. After entering text prompts, the system will call AI services for intelligent filling and restoration. The entire process automatically detects task status and quickly returns high-quality processed images, greatly simplifying the complexity of traditional image editing and improving efficiency. It is suitable for various scenarios such as e-commerce, graphic design, and content creation.

This workflow combines the Odoo sales module with AI conversational technology to achieve automatic acquisition of sales opportunity data and intelligent interaction. Through the aggregation and analysis of sales data by the AI model, the sales team can quickly grasp key information, enhancing decision-making efficiency and customer communication experience. It supports scheduled data retrieval, generates intelligent summaries, and enables real-time chat interactions, helping sales personnel efficiently manage sales opportunities and improve customer service quality. It is suitable for various enterprises to enhance digital sales efficiency.

This workflow receives users' dietary records via Telegram, including text and voice messages. It utilizes AI technology to intelligently analyze the nutritional components of the ingredients and automatically stores the structured data in Google Sheets. It addresses the cumbersome issues of traditional dietary recording, supporting health management, exercise nutrition tracking, and medical rehabilitation, providing users who are concerned about dietary health with a convenient and efficient tool for recording and analysis.

This workflow integrates DeepSeek's latest V3 chat model and R1 inference model, supporting real-time conversations triggered by messages and possessing multi-turn contextual understanding capabilities. Users can flexibly call cloud APIs or local models to quickly build intelligent Q&A and inference services, suitable for scenarios such as customer service, knowledge management, and educational tutoring. By enhancing interaction coherence and accuracy through memory window management, it reduces the complexity of AI integration, making it easier for developers and enterprises to build and test intelligent assistants.