This workflow automatically summarizes new comments added to a Notion database page using AI. When a page in a specified Notion database is updated with new comments, the workflow extracts these comments, sends them to an AI model for summarization, and then updates a designated property on that same Notion page with the generated summary.
This workflow is triggered when a new page (row) is added to a Notion database. It automatically scrapes content from a specified URL on that page, uses an AI model to generate a summary and relevant tags, and then updates the original Notion page with the AI-generated summary and tags.
This workflow is triggered when user feedback is updated in a Notion database. It uses an AI to perform sentiment analysis (Positive, Neutral, Negative) and determine if the feedback matches an existing insight or requires a new one. The workflow then updates the Notion database, linking feedback to insights and marking it as processed.
This workflow is triggered when a new message is received in a chat platform. It uses AI to identify if the message contains a URL and a request to save an article. If a valid article URL is found, the workflow scrapes the website's content, summarizes it with AI, and then creates a new page in a Notion database. The Notion page includes the original URL, the AI-generated summary, and other extracted metadata. Finally, a confirmation message is sent back to the chat.
This workflow monitors a Gmail inbox for new emails containing PDF attachments, which are assumed to be candidate CVs. It extracts text from the PDF using OCR and then structures the data using an AI LLM. Finally, the processed candidate information is used to create or update an entry in a specified Notion database.
This workflow automates the handling of job applications by processing CVs. It triggers when a new row is added to a Google Sheet (assumed to contain a link to a PDF CV), extracts text and details from the CV, summarizes the candidate's profile, evaluates their qualifications using AI, and finally updates a Google Sheet with the processed data and evaluation results.
This workflow accepts a URL to a research paper, extracts its content using an OCR reader, and then leverages AI to create various summaries. It generates different summary types, such as executive, technical, layperson, and social media posts, to make complex academic content accessible to diverse audiences.