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AI lead-qualification system with tool-calling analysis
Problem: Inbound leads pile up unsorted — sales teams waste time manually reading every submission to figure out which ones are actually worth a callback.
Approach: Built a tool-calling system that runs parallel analysis on each lead (intent, fit, urgency) and drafts a qualified follow-up, routing results to Slack/email automatically. Forked into a law-firm-specific version with bilingual intake and a hardened no-legal-advice system prompt.
Outcome: Leads arrive pre-qualified with a drafted response ready for human review, instead of landing in an inbox as raw, unsorted submissions.
Tools: Next.js, Groq (parallel tool-calling), Supabase, Nodemailer, Slack Webhooks
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Full-Stack + AI Automation = More Than Code.
Modern businesses don't just need developers.
They need people who can understand the business problem, design the product, build the technology, connect the systems, and automate the repetitive work.
That's the space I'm building in.
Full-Stack Development
Web apps • SaaS • MVPs • APIs
AI & Automation
AI integrations • Workflow automation • Business processes
My focus is building digital systems that make businesses more capable, efficient, and scalable.
If there's a problem worth solving, there's probably a better system waiting to be built.
#FullStackDeveloper #AIAutomation #SaaS #AIIntegration #BusinessAutomation
🚀 My First Automation with Make
For a long time, I was learning automation—but I kept facing one problem: I had the knowledge, but no real use case to build a project around.
So, this time I decided to build something practical for my own website.
Before this automation, when someone submitted a form, I had to manually check the data and make sure I didn’t miss any potential client.
Now, the workflow is automated:
User submits form → Supabase → Webhook → Google Sheets → Gmail notification
This means:
✅ Form data is automatically stored
✅ Data is sent to Google Sheets through a webhook
✅ I receive a Gmail notification instantly
✅ Less manual work
✅ Lower chance of missing a potential client
✅ A more organized workflow
It’s a simple automation, but for me, it’s an important step from learning automation to actually building with it.
And now I’m ready to take on more complex automation projects. 🚀
I also provide services in:
🔹 AI Automation & Workflow Automation
🔹 Data Analysis & Data Analytics
🔹 AI Web Development
🔹 Custom AI-powered tools & solutions
If you’re looking for someone to build an automation, analyze your data, or develop an AI-powered web solution, feel free to visit my website:
#AIAutomation #Automation #Make #MakeAutomation #DataAnalysis #DataAnalytics #DataAnalyst #AI #ArtificialIntelligence #AIWebDevelopment #WebDevelopment #WorkflowAutomation #BusinessAutomation #NoCode #LowCode #Supabase #GoogleSheets #Gmail #Webhooks #Python #SQL #PowerBI #DataEngineering #Analytics #DigitalTransformation #Tech #AIDeveloper #AutomationDeveloper
Not every business task needs AI.
But some tasks are practically asking to be automated.
Here is a simple way to find out.
STEP 1: Do you repeat the task frequently?
If your team performs the same activity every day or every week, that's a signal.
STEP 2: Does it follow a predictable process?
If you can explain the task as:
"First we do this, then this, then this..."
AI and automation may be able to handle part of it.
STEP 3: Does it consume valuable time?
If employees are spending hours copying information, creating similar documents, sorting data, sending repetitive messages, or performing manual checks, investigate it.
STEP 4: Does the task involve digital information?
Emails, documents, spreadsheets, forms, customer enquiries, CRM records, website data, and other digital information are often good candidates for automation.
STEP 5: Is there a clear outcome?
If you know exactly what should happen when the process is completed, designing an automated workflow becomes much easier.
For example:
Customer submits a form
⬇️
AI reads the information
⬇️
Lead is categorized
⬇️
Information is saved
⬇️
Proposal is generated
⬇️
Team receives notification
That's a workflow.
And that's where AI becomes much more valuable than simply asking a chatbot questions.
A simple rule:
If a task is repetitive + predictable + time consuming + digital, ask:
"Can we automate part of this?"
You don't have to automate the entire business.
Start with one frustrating, repetitive process.
Solve it.
Measure the time saved.
Then find the next one.
What is one task your business repeats every week that you think should be automated?
Drop it in the comments.
