Explore Workflows

This workflow generates tailored content for multiple platforms based on user input. It extracts platform names, processes documents or images, and uses AI to create customized posts in the selected language.

This workflow retrieves and stores user memory data using Memtensor's Memos plugin, enhancing personalized interactions by managing chat history and user preferences.

This workflow automates the process of searching for grant funding opportunities related to social work and AI, sending weekly updates via email.

This workflow processes user input through a template transformation and ends without sending a response back to the user.

This chatflow allows users to search for articles on note.com interactively and extract specified items such as titles or content. It requires the Note Scraper API workflow to function properly.

This workflow searches and extracts articles from note.com based on a specified keyword, outputting structured data (JSON) or formatted text.

This chatflow assists users in creating a diary using AI. It guides users through multiple steps to generate natural and concise diary entries based on user input, with options for regeneration and saving entries as Markdown files.

This chatflow integrates a knowledge retrieval system with an IT support chatbot. It answers user queries using a predefined knowledge base and escalates unresolved issues to a Wecom group via webhook.

This workflow automates SEO audits for websites, providing insights on performance, on-page SEO, and more. It uses AI to analyze various criteria and generates detailed reports.

This workflow demonstrates the use of MQTT tools to subscribe and publish messages. It includes a delay mechanism to ensure proper message handling.

This workflow extracts and summarizes transcripts from YouTube videos, offering options for full or summarized text output.

This workflow is designed to provide intelligent customer support by retrieving relevant knowledge and generating responses using an LLM model.