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 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 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 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 automatically runs on a schedule to scrape CoinMarketCap for trending cryptocurrencies. It leverages an AI model to analyze the scraped market data and generate concise, actionable insights. The final output, an AI-powered summary of the crypto trends, is then delivered as a message to a designated Slack channel.
This workflow is manually triggered to read a raw meeting transcript from a specified Google Docs file. It then sends the transcript to an AI to generate a structured project summary. Finally, it creates a new Google Docs file in a designated Google Drive folder with the AI-generated summary content.