A customer called your business today. Nobody answered. So they called your competitor instead.
That's the sale you'll never see on any report.
It happens more than you'd think: calls that come in when you're busy, closed, or short-staffed, quietly slipping to someone else.
So I built an AI that answers your phone, talks like a real receptionist, and books the appointment right there on the call.
No staff. No voicemail. No missed customer.
I build these systems for businesses. If your phone is leaking customers, let's plug the leak.
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This AI automation writes personalized email in bulk. It scrapes website reads its content and create email for your service. And Its free.
It uses Google Gemma 3 1B, a completely free AI model with no limits. You can download my n8n workflow and set it up yourself. Link below.
➡️Here's how to set it up:
- Install n8n locally
- Import the workflow I've shared (all settings and code are already added)
- Connect your Google Sheet with n8n and link all the nodes to it
- Connect your AI model and select Google Gemma 3 1B
- Update the prompt to your needs in the Google Model node
- Use the sheet I've provided and add your prospect websites
- Run it the workflow visits each pending website and writes a personalized email for that company
That's it. No manual research, no writing emails one by one.
I'm Hasnain Ali, an AI Automation & Integration Expert. I build n8n workflows, AI agents, and automations that take repetitive work off your plate.
Need a custom AI automation or integration for your business?
Let's connect. Discussion is free :)
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Built an AI agent that reads incoming customer emails, finds the answer in the company's help docs using RAG (retrieval-augmented generation), and drafts a reply automatically.
The key feature: it scores its own confidence. When it's sure, it drafts a reply. When the docs don't cover the question, it escalates to a human instead of guessing so it never hallucinates answers to customers.
Stack: n8n, Gemini, vector embeddings for retrieval, confidence-gated routing. Cuts support response time while keeping a human in the loop for edge cases.
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Here's how that Slake video was actually made
The process behind it:
1- Claude is connected to Higgsfield. Higgsfield is an AI video engine. Through a connector, Claude can talk to it directly and tell it what to make, so you're not jumping between separate tools.
2- A "motion design" skill file is loaded into Claude. This is what makes the output look like a real ad instead of random clips, because it keeps all the shots in one consistent style.
3- You describe the ad in a prompt. You don't animate anything yourself.
4- he AI plans a storyboard (the shots and the order), and once you approve it, Higgsfield generates the actual footage using its video model (Seedance 2.0).
5- Out comes the finished short ad with the floating fruit, mint, ice, and the swirl of tea. That look is the AI "Hyper-Motion" style, not keyframed by hand.
So the whole thing is prompt-and-generate. Minutes, not days.
Reach me out if you'd like whole process or want to create one for your product.
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Hi All, Please check Habbit Track Product Demo Launch Video. Comment your opinion.