This workflow starts when a user emails a raw voice transcript. It then retrieves style examples from a Google Doc to guide the AI. An AI node processes the transcript, transforming it into a polished, coherent LinkedIn post. Finally, the workflow emails the professional content, along with a suggested image description, back to the user.
This workflow enables users to generate high-quality Center of Excellence (COE) blog posts. It takes a topic as input, uses AI to create an outline and then the full blog content, saves it as a Google Doc in Google Drive, and then shares the public link via email to stakeholders.
This workflow automates the conversion of raw hiring intake meeting transcripts. It triggers when a new Google Doc is created containing the transcript. An AI then processes this raw text, transforming it into a structured hiring brief and a scorecard template, which is subsequently saved into a new Google Doc.
This workflow automatically monitors your Gmail inbox for new inquiries. It classifies incoming emails using AI, retrieves relevant context from a Google Sheet acting as an FAQ database, and generates a professional, context-aware reply for valid inquiries. Finally, it sends the AI-generated response via Gmail and logs all interaction details (original email, AI response, timestamp, and sender) to a Google Sheet for 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 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 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.