Autonomous AI Lead Generation Agent (n8n + GPT-4o) I engineered a 24/7 Autonomous AI Agent using ...Autonomous AI Lead Generation Agent (n8n + GPT-4o) I engineered a 24/7 Autonomous AI Agent using ...
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Autonomous AI Lead Generation Agent (n8n + GPT-4o) I engineered a 24/7 Autonomous AI Agent using n8n and GPT-4o to act as a tireless researcher, completely automating B2B lead generation, data enrichment, and hyper-personalized email outreach.
I’m a senior full-stack developer and technical consultant with experience in C#/.NET, PHP/Laravel/Symfony, TypeScript/Angular, APIs, SQL, e-commerce and AI integrations.
I enjoy turning business requirements into reliable applications, integrations and practical AI-assisted workflows. I’m currently available for remote freelance collaborations and happy to connect with other builders, founders and teams here on Contra.
A WhatsApp chatbot that automates tasks is NOT the same as a custom-built web application.
And honestly, I’ve noticed how much people love AI-powered WhatsApp bots lately.
As someone who develops AI workflows and custom websites, I personally believe that combining a well-built web application with AI puts you one step ahead.
Imagine having a custom interface, your own database, automated workflows, and an AI agent working together in one place.
That’s a completely different level of flexibility.
Don’t get me wrong: WhatsApp bots aren’t always the inferior option. They’re great for customer-facing interactions and quick communication.
But personally? I’d rather give customers a dedicated web experience whenever the project calls for it.
When the web app and the bot share one database, which side owns the conversation state: the n8n workflow or the app? That choice seems to decide whether a customer can switch between WhatsApp and the web view mid-request.
Extracting product attributes straight from images is the part I find most interesting, since it feeds the descriptions and video steps. How do you handle low-confidence extractions, for example auto-publish with a review queue or hold them for manual approval?