This workflow automatically processes text data from new rows in a Google Sheet using a Large Language Model. It ensures GDPR compliance by routing all AI requests through Requesty.ai's European-based infrastructure, then updates the Google Sheet with the AI's output.
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 triggers when a new row is added to a Google Sheet containing a company website URL. It then scrapes the content from that website, uses an AI model to extract key company information such as market, industry, target audience, and value proposition. Finally, the workflow updates the original Google Sheet row with this enriched data.
This workflow automatically generates detailed product comparison content. It can be triggered manually or when a new row is added to Google Sheets, taking two product names as input. An AI model then generates a compelling title, a feature-by-feature comparison, use-case recommendations, and an FAQ section. Finally, the generated content is saved into a Google Sheet for review or publishing.
This workflow automates patient intake by processing symptom submissions from a Google Sheet. It uses AI to analyze symptoms, suggest potential issues, and assign a relevant department. Subsequently, it books an appointment in the appropriate Google Calendar and updates the patient's details in the Google Sheet, while ensuring no duplicate appointments are created.
This workflow automates the CV screening process for HR professionals. It triggers when a new email with a CV attachment is received in Gmail. It then extracts the resume text using AI, evaluates the candidate's fit for a job using an LLM, and logs the results, including a score, into a Google Sheet. Finally, it sends a confirmation email to the applicant.
This workflow triggers when a new email containing an inbound order is received in Gmail. It then uses an AI model to extract key order details such as PO number, delivery date, SKU ID, and quantity from the email body. Finally, the extracted information is automatically added as a new row to a specified Google Sheet for logistics tracking.