This workflow is designed to evaluate and compare the outputs of two different Large Language Models (LLMs). It triggers when a new message is received in Slack, sends the input to two distinct LLMs, logs both responses along with the original input to a Google Sheet for review, and then sends both LLM responses back to the Slack channel for direct comparison.
This workflow enables seamless automation of real-time chat replies in Slack. When a new message is received in a designated Slack channel, the message is sent to Google Gemini for analysis. Gemini then crafts a professional, context-aware response, which is automatically delivered back to the user in the same Slack channel.
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 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 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 automates weekly restaurant sales and inventory forecasting. It triggers weekly, pulls historical sales data from Google Sheets, uses Gemini AI to predict future needs, and then logs the forecast back to Google Sheets before emailing a summary to stakeholders for efficient planning and waste reduction.
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.