This has been one of my most complex builds,
Connecting apps from scratch. Running into errors I had never seen before. Spending hours debugging one node just to realise the problem was a single space in a field name, Restarting entire sections of the workflow because the architecture was wrong.
Testing, breaking, fixing, testing again
But I kept going, And I finally got it to work.
I built an AI system that responds to aesthetic clinic DMs instantly, qualifies leads using real clinic pricing, books consultations automatically, remembers returning patients, and notifies the clinic owner on Slack all while they are with another patient.
—> No missed leads.
—> No slow replies.
—>No extra staff. Running 24/7.
Here is what is powering it under the hood,
#N8n as the automation engine, #Claude AI as the brain, #Airtable as the live service database, and #Cal.com handling the bookings.
Every single piece had to be wired together from scratch and made to talk to each other seamlessly.
The canvas you are looking at is not a concept, It is not a mockup, It is a live, working system.
This is what AI automation actually looks like when you go beyond the tutorials and build something real. It is messy, it is frustrating, and when it finally works,it is absolutely worth it.
If you are an aesthetic clinic owner tired of losing leads to slow DM responses, or you know someone who is, drop a comment or send me a DM. I will show you the live demo.
Bye for now.
#aiautomation #n8n #aiassistant #aidemo #aestheticassistant #aiautomationexpert #make #zapier
I gave myself a challenge.
Create a high-end commercial the kind that costs hundreds of thousands to produce, using only AI. No camera. No actors. No location scouts.
Meet Clover. A fresh grocery delivery brand I built entirely from scratch for this project.
Crazy story, I spent more days creating the assets than I did on the video and editing. The brand identity, the world, the character, the shot list, everything locked before a single frame was generated.
This is the result.
What do you think?
Powered by “@InvideoOfficial's" Agent One.
Aesthetic clinics spend $500k+ on Instagram ads every year
Then a lead DMs them. And waits 2 hours for a reply.
MIT research tracked over 15,000 leads and found that responding within 5 minutes instead of 30 makes you 21x more likely to qualify that lead.
21 times!!
A separate Harvard Business Review study found the average business takes 42 hours to respond. Most clinics aren’t even close to 5 minutes.
That’s not a marketing problem, That’s a revenue leak hiding in plain sight.
I’ve been quietly working on something that fixes exactly this.
More soon✨
#aiautomation #n8n #buildinginpublic #make #Zapier #aiassistant
Today I built an AI customer service bot that actually thinks before it replies.
Not a chatbot with three canned responses. A real workflow that reads what a customer actually says, decides what they need, and writes a unique, human-sounding reply every single time.
Here's what it does:
Someone fills out an inquiry form. The system logs it instantly, pings me on Telegram so I know in real time, then reads the message and routes it intelligently.
If they're asking about rates, Claude (Anthropic's AI) pulls in the current rate and writes a warm, natural reply using their name. If they're asking about something else entirely, it reads the actual question and responds to that specifically instead of falling back on a generic template.
The hardest part wasn't the AI, It was making the AI sound like a person. My first few test replies came back polished, bulleted, and completely lifeless. Getting it to write 2-3 sentences like an actual text message took more tuning than the entire technical setup.
I'm not a developer. I learned to build this by breaking it repeatedly and figuring out why, one error message at a time.
If you run a business and you're still replying to every customer message manually, there's a version of this that could be working for you while you sleep.
#AIAutomation #N8N #BuildingInPublic #CustomerService #SmallBusiness
Here’s a list of different ai tools you can use based on your course of study, instead of ChatGPT
LAW STUDENT?
You need CaseText CoCounsel. It wasn't adapted for law, it was actually built for law.
So when you're doing due diligence, reviewing cases, or pulling documents, you're getting up to 90% accuracy instead of guesswork.
MEDICAL STUDENT?
Glass Health is your tool. Doctors are already using this to review patient cases.
It's not pulling random information off the internet, it's giving you an actual clinical reasoning plan, the way a doctor would think through it.
ARCHITECTURE OR INTERIOR DESIGN?
Everyone's been using Midjourney for pretty renders, but Veras by Evolve Lab will actually take you into building information modeling.
That's the difference between a nice picture and something you can build from.
MATH OR PHYSICS STUDENT,
this one's important. Most Al chatbots aren't really calculating your answer, they're predicting what it's likely to be based on patterns.
That's not the same thing. Wolfram Alpha actually calculates. Pair it with ChatGPT and now you've got real math backed by an explanation that makes sense.
If you're in LINGUISTICS,
Claude is the one.
It's just better at picking up on metaphor, tone, and nuance, and it doesn't sound like a robot wrote it.
And if you're an ACCOUNTING or FINANCE student, look into Trullion.
It automates your financial reports, flags mismatches or potential fraud before they become a problem, and keeps everything aligned with international accounting standards.
The main idea is to not force one tool to do everything for you, You're welcome
Let me know if you want a part 2
Everyone keeps telling you to ‘learn a high income skill’
nobody tells you which one,where, or how much it actually pays,
I got tired of seeing that advice everywhere with zero details attached. So I put numbers to it👇🏽
Here are 5 high-income tech skills you can actually start learning this year with real income ranges, and exactly where to learn each one for free:
1• Cloud Computing — ₦3–5M yearly in Nigeria, up to $220K globally. Learn it on Coursera or Google Cloud.
2• Software Architecture — ₦5–20M yearly in Nigeria, $50K–$250K globally. Learn it via Coursera, system design courses, or ByteByteGo on YouTube.
3• Blockchain Development / Web3 — ₦4–16M yearly in Nigeria, $100K–$600K globally. Learn it free at Alchemy University or CryptoZombies.
4• Computer Vision — ₦5–18M yearly in Nigeria, $130K–$220K globally. Learn it through Coursera’s Deep Learning/AI specializations.
5• Fintech Engineering — ₦5–14M yearly in Nigeria, up to $220K globally. Learn it via Coursera Fintech.
There are more I didn’t fit here,Which is why I put together a full breakdown with even more skills, resources, and income data.
Want the full free PDF? Comment “SKILL” below and I’ll send it your way.
That said, I'm glad I've been able to familiarize myself with both interfaces,
That way I can meet my customers wherever they stand.
Which do you prefer?
Zapier or Make?
Let me know in the comments
Bye for now
a roadblock you can't get past unless you upgrade. (Which was so annoying)
https://t.co/ZWzMpyN2to wasn't like that for me, It actually let me complete my workflow from start to finish and actually get results. Can't say the same for Zapier😒
separately. Then come back, rewatch, and start again.
It felt slow at first,But it actually helped me cover more ground and learn faster.
I’m still early in this journey. But this small shift made a real difference for me.
It helped me it might just help you too.😊
One thing that really helped me when I started learning was browsing terms that confused me and learning them on my own,outside of my course.
So instead of trying to understand APIs, webhooks and JSON all in one video, I’d watch the full video first then go research each concept