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Every Monday, I used to spend an hour pulling numbers from Instagram, LinkedIn, and X into one report.
So I built an AI agent that does it in Slack. Ask “how did LinkedIn do last month?” and it answers with real numbers. Ask for the weekly report, and it posts this.
It reads from Buffer or straight from the platforms’ APIs, compares every metric with the previous period, and picks the top posts. It only reads data, never posts.
I first built it for the AI community whose marketing I led. Now I set it up for other teams too.
(Report shown with demo data.)
The read-only constraint is the smartest part of this. “It only reads data, never posts” is exactly the kind of boundary that makes a team actually trust an agent with live accounts. And asking in Slack — “how did LinkedIn do last month?” — beats a static Monday report, because...
Thanks! That boundary was the first design decision. If an agent can touch live accounts, people spend their energy checking it instead of using it.
We ran it, and people read the weekly post, but the follow-up questions in Slack are where the real conversations started.
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Muse AI on the free plan is INSANE. 🤯
I asked Muse AI to review my portfolio website, and what happened next genuinely surprised me.
It visited my website, explored the pages, checked the details, and provided a complete website audit.
And honestly? I was shocked by how accurately it identified and evaluated everything.
The funny part? These are exactly the kinds of productivity workflows I've always wanted to explore with Claude and ChatGPT. But getting this level of hands-on website analysis can be difficult with free-tier limitations.
With Muse AI, I got to experience this kind of workflow without paying for a premium plan.
This is what excites me most about AI—not just generating text or answering questions, but actually doing the work, inspecting real things, and helping us get things done.
We're moving beyond AI that simply tells us what to do toward AI that can help us do it.
And if this is what Muse AI can do on its free plan, I'm genuinely curious to see what comes next.
Have you tried Muse AI yet? What's your experience been like?
#MuseAI #ArtificialIntelligence #AITools #Productivity #Automation
To answer your question — yes, and the audit is exactly where the shift shows. An AI working from a screenshot gives opinions. One that actually visits the site, explores the pages and checks the details is doing a real first pass of QA. Your line is the right one: from telling...
Most AI builds break at the wiring, not the model: no retries, no log of what the model actually did, and no clear line for what the agent may do without a human.
I build that layer. My own products run on it -- an ordering platform where an AI agent handles real orders, and a coding agent that writes no file until someone approves the change.
The question worth answering first is what your agent should never decide on its own.
🚨 A dental clinic was losing patients every single day.
Not because of bad service. Not because of high prices.
Because nobody was replying to messages.
Patients messaged on WhatsApp, Messenger, SMS… And waited. And waited. And left.
The clinic owner contacted me with one simple ask:
“I can’t hire someone to reply 24/7. Can you help?”
So, I built them an AI receptionist that never sleeps. 👇
Here’s exactly what it does:
✅ Omnichannel Support: Instantly replies to patients on WhatsApp, Facebook Messenger & SMS — all from one system.
✅ Human-like AI: Google Gemini AI understands the message, detects intent, and replies naturally.
✅ Smart FAQ Handler: Answers questions about services, pricing & clinic hours by pulling live data from Google Sheets.
✅ Automated Booking: Checks availability, blocks double-bookings, and confirms only after saving to the sheet.
✅ Instant Alerts: Notifies the clinic owner instantly via Gmail + Telegram on every new booking.
✅ Smart Reminders: Sends automated email reminders — 2 hours and 1 hour before the appointment.
✅ No-Show Recovery: Detects missed appointments and automatically sends a polite rescheduling email after 12 hours.
The Tech Stack 🛠️:
⚙️ Make.com — Automation backbone
🧠 Google Gemini 2.0 Flash — AI brain
📊 Google Sheets — Live clinic database
💬 Green API — WhatsApp integration
📱 Facebook Messenger API & Twilio — Chat & SMS
✉️ Brevo — Email reminders
📢 Telegram Bot — Owner notifications
💾 Make.com DataStore — Conversation memory per patient
The Result? 📈
Every patient gets an instant, intelligent reply — 24/7. No missed bookings. No forgotten appointments. No manual follow-ups.
The clinic owner now wakes up to confirmed appointments already in the sheet with zero manual effort.
This is what I build for businesses. If you’re still replying manually and losing leads while you sleep — DM me. Let’s fix that. 👇
#MakeAutomation #AIAutomation #NoCode #Makecom #GeminiAI #WhatsAppAutomation #BusinessAutomation #AIReceptionist #FreelanceAutomation #Upwork #Fiverr
Nice build, and very close to a WhatsApp assistant I just built for a dental-clinic use case on the WhatsApp Cloud API. Two things mattered a lot in testing: when a patient asks for a person, the bot has to go completely quiet for that chat until the owner hands it back, and the...