This workflow generates custom text content using an AI model. It takes a user-defined prompt and other parameters to produce high-quality text. The workflow is triggered manually and outputs the generated text.
This workflow is manually triggered by providing a brand URL. It then uses GenFuse's scraping capabilities to extract content from that URL. The extracted content is sent to an AI model (like Google Gemini) for summarization and sentiment analysis, providing insights into brand perception. The final analyzed content can then be displayed or sent to another app.
This workflow automatically generates detailed product comparison content. It can be triggered manually or when a new row is added to Google Sheets, taking two product names as input. An AI model then generates a compelling title, a feature-by-feature comparison, use-case recommendations, and an FAQ section. Finally, the generated content is saved into a Google Sheet for review or publishing.
This workflow uses an AI Large Language Model (specifically Claude) to generate structured XML system messages. It can be used to create configuration files, detailed instructions, or log entries in a standardized XML format for other AI agents or systems. The workflow is triggered to generate the XML based on provided requirements and outputs the structured message.
This workflow transforms a simple user query into comprehensive, well-structured HTML content. It leverages Perplexity AI for in-depth research, then uses an LLM (such as GPT) to organize the findings and generate a professional blog post in HTML format, complete with proper semantic structure and formatting.
This workflow automates the creation of marketing content. When new product details are submitted via a Google Form, it uses an AI to generate compelling ad copy and calls-to-action. The generated content is then automatically posted to a Slack channel for review and logged in Airtable for campaign tracking and reuse.
This workflow enables users to generate high-quality Center of Excellence (COE) blog posts. It takes a topic as input, uses AI to create an outline and then the full blog content, saves it as a Google Doc in Google Drive, and then shares the public link via email to stakeholders.