This workflow manually triggers, allowing you to process a specific Google Drive file. It retrieves the content of the document and then leverages an AI model to generate a concise summary. This is ideal for quickly understanding the core information in long documents stored in Google Drive.
This workflow is manually triggered to extract and compare information from a selected PDF document in Google Drive. It uses GenFuse's OCR capabilities to get text from the PDF, then sends this text to both Claude and Gemini LLMs for specific data extraction based on a custom prompt. The workflow provides the outputs from both LLMs for direct comparison.
This workflow monitors a designated Google Drive folder for new PDF bank statements and image screenshots. Upon detection, it leverages AI capabilities to extract transaction details, such as dates, payees, and amounts. Finally, the extracted data is formatted and stored as a new file in a separate Google Drive folder, streamlining expense tracking.
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 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 enables users to generate complete stories by providing a story idea and desired format. Utilizing advanced AI (GPT), it intelligently crafts and refines narratives through a series of AI-driven steps, from initial analysis to final polished version. The resulting story is then automatically saved to Google Drive for easy access and management.
This workflow automates the screening and evaluation of job applications. When a candidate submits their application, their CV is uploaded to Google Drive. The system then uses AI to extract candidate information from the CV, retrieves the relevant job description from Google Sheets and Google Drive, and evaluates the candidate against the job requirements. Finally, it stores the results in Google Sheets and sends conditional notifications via Gmail or Slack.