Analyze Customer Survey Feedback
Daily workflow that groups survey responses by sentiment, uses AI to extract themes and recommendations.
Across the directory, 23 recipes lean on OpenRouter. Most cluster in Marketing (5), Research (4) and Personal Productivity (3). People running their own day get the most out of these (7), with data analysts (5) next, but nothing here is locked to one team. Expect to wire it up alongside Google Sheets (11 shared), n8n (7 shared) and Telegram (4 shared). Split by trigger, 10 fire on an event, 8 run on a schedule and 5 run on demand. Split by how much they hand off, 22 run hands-off and 1 keep you in the loop. Concrete examples include "Auto-Update Job Application Status", "Monitor Brand Sentiment on Facebook Groups" and "Stock News Alerts". Take "Auto-Update Job Application Status": monitors Gmail for job application emails, uses AI to extract status updates, and automatically logs them into a Google Sheet. Another, "Monitor Brand Sentiment on Facebook Groups", periodically scans specified Facebook groups for brand mentions using Bright Data and classifies sentiment via LLM. Analyze & Report is the recurring shape. Start from whichever recipe is nearest your setup.
Daily workflow that groups survey responses by sentiment, uses AI to extract themes and recommendations.
Submit a video concept and style, then the agent refines the prompt, generates an 8-second clip via Fal.ai Veo3, creates SEO metadata.
Monitors Gmail for job application emails, uses AI to extract status updates, and automatically logs them into a Google Sheet.
Send a product query and budget to get a structured market report with pricing, reviews.
Turns fitness logs into a pirate adventure where an AI scores your activity and routes you to specialized agents for advice.
Submits a design brief to generate 12 AI visuals, compiles them into a two-page PDF moodboard, and emails it directly to the client.
Every six hours, the system fetches gold prices, news, and macro data to generate an AI-powered forecast report with confidence metrics.
Every four hours, fetches Hacker News via Algolia, scores trends by velocity, and sends a clean HTML digest to Telegram.
Monitors new Jira Stories, Bugs, and Tasks for quality, posting coaching comments only when scores fall below a configurable threshold.
Manage your WooCommerce store via Telegram by sending natural language commands to retrieve orders, update products, or log data.
Submit a dish name to log ingredient costs in Sheets, get leftover recipes, receive nutritional advice, and draft an X post.
Periodically scans specified Facebook groups for brand mentions using Bright Data and classifies sentiment via LLM.
Daily digest of Furusato Nozei news, AI-extracted keywords, Google Trends validation, and strategic insights sent to Slack.
Detects sensitive PII in chat inputs using risk scoring and routes them through secure local sanitization or cloud LLMs with full audit...
Ingests Google Docs into a vector database via Together AI and answers Telegram questions using only that retrieved context.
Submit a topic via webhook to trigger an automated research workflow that refines the scope, gathers data from Tavily.
Automates daily reminder calls to restaurant guests using AI scripts read aloud via Twilio.
Automatically generates SEO-aware product descriptions from images and updates daily sales analytics in Google Sheets.
Pulls a WordPress post ID from Google Sheets to generate platform-specific AI captions and images, then publishes them to X.
Polls stock news every 15 minutes, summarizes articles via LLM, and sends real-time alerts to Telegram while logging them in Google Sheets.
Convert natural language prompts into precise web searches using Firecrawl to scrape data and capture full-page screenshots.
Ingests web pages via URL into a vector store and answers questions using retrieved context with reranking.
Send natural language messages to WhatsApp to log expenses or generate financial reports, with data stored in PostgreSQL.