This workflow monitors a specified Google Sheet for new rows. When a new row is added with a topic, it uses AI to generate a detailed description for that topic. Finally, it updates the original row with the generated description and logs the activity in a separate sheet.
This workflow collects article details via a form (e.g., Google Forms). It then uses AI to generate an article outline and the full article content based on the inputs. Finally, it saves the generated content to Google Drive and updates a Google Sheet with links for tracking article progress.
This workflow triggers when a new row is added to a Google Sheet containing a company website URL. It then scrapes the content from that website, uses an AI model to extract key company information such as market, industry, target audience, and value proposition. Finally, the workflow updates the original Google Sheet row with this enriched data.
This workflow triggers when new customer feedback is added as a row in Google Sheets. It then uses an AI model to classify the sentiment of the feedback as positive, neutral, or negative. Finally, the classified sentiment is updated back into the same Google Sheet.
This workflow is triggered when a new row is added to a Google Sheet containing a document link. It processes the document (e.g., a PDF resume) by extracting its text content. Using prompts fetched from another Google Sheet, an AI extracts specific fields of information. Finally, the extracted data is updated back into the original Google Sheet row.
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 triggers when a new row is added to a Google Sheet containing a LinkedIn profile URL. It then scrapes the detailed profile data using a LinkedIn scraper, sends the extracted information to an AI model for summarization, and finally writes the AI-generated summary back into the original Google Sheet row. This is ideal for recruiters or sales teams needing quick insights into prospects or candidates.