Esther | Ai Automation Expert⚡
80 posts
@DTechqueen
Turn 30-hour manual workflows into 30-minute automated systems | AI agents, chatbots & CRM automation for agencies, coaches & SaaS | Make · n8n · GoHighLevel
Due for a Big Win, Ya Allah 🤲
Its Mercor ai You can get gigs as high as 200$ per hour. t.mercor.com/xiyvs
My first Twitter gig paid me 2.5M that year😂
What if scheduling a meeting was as simple as sending a message and your chat assistant handled everything else? Twenty five days into my 30-day automation challenge and today's build is one of those workflows that immediately makes you question why you ever scheduled a meeting any other way. Day 25 of my 30-Day Automation Challenge (Tools: n8n, Google Calendar, Telegram) I built a Calendar Assistant on n8n. An AI-powered calendar scheduling agent living inside Telegram that checks your availability and books meetings directly into Google Calendar through a natural conversation. You tell it when you want to meet. It checks if you are free. It creates the event. Here is exactly how the workflow operates: ⚡ Receive message triggers when there is an incoming message in real time ✏️ Set Parameters node structures the incoming message and prepares it for the AI Agent 🤖 Calendar Agent receives the request and decides which tool to use based on what the user is asking 📅 Check_Availability tool queries Google Calendar in real time to verify whether the requested time slot is free or already booked 🗓️ Schedule_Meeting tool creates a new calendar event directly in Google Calendar once availability is confirmed 📤 Send a Reply node delivers the assistant’s response and booking confirmation back to the user on Telegram instantly What makes this build elegantly powerful is its simplicity relative to what it actually does. Five nodes on the surface. But underneath those five nodes is a fully functioning AI scheduling system that understands natural language, queries a live calendar, makes decisions based on real availability data and takes action by creating actual calendar events. That combination of conversational intelligence and real world action is what defines a true chat assistant. The two tools working in sequence is also worth noting. The agent checks availability before it books. It never creates a conflicting event. It verifies first and acts second. That logic is simple but it is exactly what makes this trustworthy enough to use for real scheduling. Think about who this serves every single day. Founders and executives managing packed calendars across multiple time zones. Freelancers coordinating client calls without a dedicated assistant. Teams where scheduling back and forth over email eats up time that belongs to actual work. Any individual or business where the friction of finding a mutual time slot is a daily irritation. You should not need to open your calendar, check your availability, draft an email, wait for a response and confirm a time. You should be able to say when you want to meet and have the meeting appear in your calendar. That is what this does. Twenty-five days in and five days to go. Looking at the full arc of this challenge is something I find genuinely difficult to summarize. Day 1 was formatting text in a five-step Zap. Day 25 is an agent that books meetings from a Telegram conversation using live calendar data. The distance between those two points was built one day at a time. No shortcuts. Just consistent daily building for twenty-five consecutive days. The final five days of this challenge are going to be the most intentional builds of the entire month. #WorkflowAutomation #n8n #30DayChallenge #AIAutomation #Productivity #BuildinPublic
