Stop losing money to unorganized receipts. In this tutorial, learn how to build a fully automated AI receipt inbox that turns messy phone photos into structured bookkeeping records instantly. We tackle the "messy phone gallery" problem by using n8n and OpenAI Vision to extract merchant names, dates, totals, and taxes automatically. By the end of this video, you’ll have a professional-grade system that renames your files, archives them to Google Drive, and saves the data into an n8n Data Table with built-in de-duplication logic. What you will learn: How to trigger workflows using n8n Forms. Standardizing binary file data with simple code nodes. Using OpenAI Vision to "read" and categorize receipt images. Structuring AI output into clean JSON for databases. Setting up "Upsert" logic to prevent duplicate entries. Mapping and storing files in the Google Drive ecosystem.

Build a WhatsApp AI voice agent using n8n, Twilio and ElevenLabs! In this step-by-step tutorial, you'll learn how to capture WhatsApp voice notes, transcribe them with AI, generate smart responses, convert them back into natural-sounding audio, and send them to users automatically. Perfect for businesses wanting after-hours automation or creators building advanced AI workflows. In this video, we walk through the full pipeline—from receiving the WhatsApp message, routing it through Twilio, normalizing payloads in n8n, validating voice files, transcribing audio using ElevenLabs, generating an AI response with OpenAI (or any LLM), converting that reply back into speech, hosting the file, and finally delivering the voice note back to WhatsApp. You’ll also learn how to customize voices, use your own cloned voice, and securely configure gateways, webhooks and credentials. This tutorial expands on the previous WhatsApp automation video, but focuses specifically on AI voice note handling, error-proofing workflows, and production-ready best practices for routing media, managing storage, and preventing failed API calls. The full n8n template is attached

Confused about GPTs, AI apps, and AI agents? You’re not alone. With new AI tools launching non-stop, most people don’t know which one to use. In this video, I break it down using one simple framework: Think → Do → Delegate. - GPTs = THINK (brainstorm, plan, outline, research) - AI apps = DO (polished content, execution, consistency) - AI agents = DELEGATE (autonomous workflows that run without you) I show real examples—from content systems to automation workflows—so you can instantly see the difference and choose the right tool for your next project.

Imagine typing one sentence… and getting a fully deployed website in seconds. No templates. No builders. Just a prompt → and a live URL. In this tutorial, you’ll learn how to build your own AI-powered website generator inside N8N using chat triggers, AI agents, Google Gemini, and GitHub Pages. You’ll set up a workflow where you can type prompts like: “Create a pastel landing page for my AI study coach with pricing and an FAQ.” N8N will turn that into a structured website brief, generate a complete single-file index.html, and deploy the site automatically. We’ll cover every step: configuring the chat trigger, using the AI Agents node to structure your prompt, calling Gemini to generate HTML + CSS, extracting fields, creating GitHub files, enabling GitHub Pages, and retrieving your live URL. By the end, you’ll have your own AI website builder that can generate landing pages, idea mockups, client demos, and instant prototypes all from a chat window.

Automate your after-hours calls with an AI receptionist using Retail AI and Microsoft Copilot Studio. In this tutorial, you'll learn how to set up an AI phone agent that answers calls, collects key details, extracts information with AI, and logs everything into a clean spreadsheet—no more late-night voicemails or missed customers. In the video, I walk you through building the full workflow step-by-step. You’ll see how an AI voice agent handles a real after-hours customer call, gathers the name, callback number, and reason for calling, then sends the full transcript to Power Automate. From there, Copilot Studio extracts important fields like urgency, reason for the call, and contact details using a custom prompt and converts them into structured data. Finally, the system logs everything into Excel—giving you a neat call log every morning. You’ll also learn how to configure Retail AI voice agents, connect custom prompts, pass transcripts to automations, set up JSON parsing, and attach additional actions like email alerts for urgent calls. Whether you're a business owner or an automation builder, this setup saves time, improves customer response, and gives your business a more professional after-hours experience.