This workflow automatically takes simple user prompts from a Google Sheet and enhances them into detailed, structured AI prompts. It triggers upon a new row in a specified sheet, uses an AI model to add context and structure, and then writes the enhanced prompt with metadata to another Google Sheet.
This workflow monitors a Google Sheet for new customer feedback submissions. It then uses Gemini AI to analyze the feedback, extracting emotionally engaging and impactful testimonial quotes. Finally, the extracted testimonials are automatically added to a "Testimony" column in the Google Sheet, and an email notification is sent to the marketing team.
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 submit website URLs via Slack for automated evaluation. It scrapes the target website's content, then uses AI to analyze its potential business impact by incorporating context from a Google Sheet. Finally, it provides a detailed, structured report back in Slack and logs all analysis results into Google Sheets for record-keeping.
This workflow monitors a Google Drive folder for newly uploaded PDF resumes. It automatically extracts text from the PDF using OCR and then utilizes AI (GPT-4) to extract structured candidate information, such as name, job title, and experience. The extracted data is then used to update an existing row or add a new row in a Google Sheet serving as a candidate database. Finally, the hiring team is notified via Slack with a summary of the new or updated candidate profile.
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 automatically detects new customer feedback submitted via Google Forms (by monitoring a Google Sheet). It then uses AI to analyze the feedback content and extract impactful testimonial quotes. The extracted quotes are saved to a Google Sheet database, and an email notification is sent to the marketing team with the new testimonial.