This comprehensive n8n workflow powers "SpendyBot," a feature-rich Telegram bot for expense tracking and management. It uses a Switch node to route user commands (Add, Update, Delete, List, Report, Help) to their respective logic flows, interacting with an Airtable database to manage records. For the "Report" command, it leverages an AI Agent (Groq) to analyze spending data and integrates with QuickChart to generate and send visual visualizations of the user's expenses directly back to the chat.

This n8n workflow functions as an intelligent auto-responder that processes incoming messages via a Meta webhook. Once a message is received, it filters the content and retrieves context from a Google Docs knowledge base before passing it to an AI Agent powered by Groq.

This Make (formerly Integromat) scenario acts as an intelligent email dispatcher that uses AI to categorize and route tasks. It watches for incoming Gmail messages, analyzes the content using Groq to parse structured data (JSON), and logs the information into Airtable. A router then splits the workflow into three distinct paths based on the email's intent: creating cards in Trello for task management, logging data into Google Sheets, or sending notifications via Slack, with "Break" modules included to handle error retries or delays.

This Make.com workflow is designed to automate your lead capture and nurturing process instantly. When a potential lead submits a form via Jotform, the workflow immediately captures and organizes their details in an Airtable CRM for your sales team. Simultaneously, it engages the lead with a personalized follow-up email via Gmail to keep them warm, while instantly notifying your internal team on Slack to ensure rapid response times.

This Zapier workflow acts as an automated recruitment assistant that screens resumes uploaded via Jotform. Once the file is stored in Google Drive and parsed by PDF.co, Groq AI evaluates the candidate’s technical skills and project experience to assign a suitability score (1-10) and a brief summary of their strengths and weaknesses. Using custom JavaScript logic to handle the data, the workflow then routes the application to different paths—likely based on the candidate's score—triggering tailored email notifications, Slack alerts, and Airtable record creation for organized tracking.

This automation is designed to reduce no-show rates by keeping the appointment top-of-mind for the client. Once a booking is confirmed, the workflow immediately sends an initial confirmation email, then enters a wait sequence to deliver timely reminders exactly 24 hours and 1 hour before the scheduled meeting. This ensures the client receives consistent communication without manual intervention from staff.

This recovery workflow triggers automatically when an appointment status is marked as a "No-Show," ensuring that missed opportunities are immediately addressed. It updates the client's status in the sales pipeline (Opportunity), sends a re-engagement email and SMS to try and reschedule them, and assigns the contact to a specific team member for personal follow-up. This multi-channel approach maximizes the chances of winning back the client while keeping the internal CRM organized.

The IoT-based Temperature and Humidity Monitoring system uses an ESP8266 with a DHT sensor to track environmental conditions in real time. Data is sent to the cloud and displayed in a mobile app, where users can monitor readings, receive alerts, and control LEDs remotely.