Advertise on podcast: The n8n Masterclass

Milorad, n8n's MCP creator, joins the podcast to show you exactly how to get more out of the n8n instance-level MCP server, walking through three real builds from scratch, live on screen. The episode is structured as a progressive masterclass: Level 1 is a deterministic form submission workflow with a data table and email notification, Level 2 is an AI agent that generates LinkedIn posts and can be triggered straight from your phone, and Level 3 is a multi-agent orchestration system where two models (Claude and GPT) independently review the same content and a third orchestrator merges their findings. Along the way, they dig into the real reasons to pair n8n with an LLM client, including credential management, workflow observability, and the security tradeoffs baked into the MCP design. There's also a practical discussion on why iterating step by step beats trying to one-shot complex automations. The conversation closes with a look at what's coming next, including chaining n8n MCP with third-party MCP servers, and an honest preview of what's still in development. 🎙 Chapters: 00:00 - What We're Building Today 00:20 - Three Levels of MCP Mastery 01:00 - Level 1: Building a Workflow via Chat 02:19 - Creating Data Tables and Form Triggers 08:20 - Adding Email Notifications to the Workflow 08:55 - Why Use n8n Alongside Claude 16:40 - Level 1 Complete: What You Can Do Now 17:26 - Level 2: Building an AI LinkedIn Post Agent 22:37 - Triggering Workflows From Your Phone 30:00 - Level 2 Wrap-Up and Human-in-the-Loop 30:01 - Security, Permissions, and Community Nodes 44:33 - Level 3: Multi-Agent Orchestration 44:37 - Two Models Reviewing the Same Content 42:00 - Building Iteratively vs. One-Shotting 44:31 - Level 3 in Action 42:01 - Connecting n8n MCP to Other MCP Servers 44:36 - Preview Status and What's Coming Next Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

If you want this home security setup, go here: https://go.n8n.io/buddy You get the free step-by-step guide and Buddy's self-hosted cyber lab. Your home network is being probed right now, and most people have no idea. Buddy, a cybersecurity professional and solutions engineer at n8n, built two automation workflows that change that. In this episode, Buddy walks through how to use n8n to automatically scan incoming Gmail for phishing links using VirusTotal, and how to monitor your firewall for blocked threats, enriching each alert with VirusTotal, URLScan, and MISP in under 10 seconds. These workflows work for homeowners with a smart device setup and for small businesses protecting employee inboxes alike. Buddy covers phishing detection, firewall threat enrichment, lateral movement, ransomware, prompt injection risks, and personal data exposure from breaches like National Public Data. The conversation ends with a practical cybersecurity checklist: password managers, app-based two-factor authentication, social media verification, and keeping software updated. Links to the workflows, the GitHub repo, a setup guide, and a hardware recommendation are all below. 🎙 Chapters: 00:00 - Intro: What This Episode Covers 01:48 - Phishing Email Workflow Demo 05:50 - What Is VirusTotal? 07:00 - Auto-Tagging Confirmed Phishing in Gmail 09:27 - Real-World Phishing Attack Stories 14:00 - Lateral Movement and Ransomware Explained 16:08 - Firewall Monitoring Workflow and Ubiquiti Setup 20:00 - Geo-Blocking and Incoming Connection Threats 21:44 - URLScan, MISP, and Threat Enrichment 27:53 - Full Workflow Walkthrough: Soup to Nuts 37:07 - Dark Web Data Exposure and Identity Theft 43:41 - Why Use n8n for Cybersecurity Automation 46:23 - AI Agents, Prompt Injection, and Future Threats 48:47 - Personal Security Checklist and Best Practices 52:11 - Closing Thoughts and Next Steps Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

Get the open-source incident response workflow here: https://go.n8n.io/incident-response Anthropic's Mythos AI just found a 27-year-old security bug in OpenBSD that no human ever caught. Days later the US government pulled both Mythos 5 and the public Fable 5 model, worried that same power could be weaponized into cyberattacks. The threat is no longer theoretical, and if your defense isn't automated too, you're already behind. Dylan sits down with Viraj, a former n8n team member turned forward-deployed engineer, who now helps enterprise companies build AI-powered security systems. They walk through a live demo of an open-source cybersecurity workflow built with n8n and backed by real incident data. The conversation covers how to bring AI into SecOps without letting it run wild, why historical incident data and playbooks matter more than the model you choose, and how Anthropic's Mythos is changing the threat landscape by chaining multiple vulnerabilities in a single attack. They also dig into real-world social engineering scams, phishing tactics, and why good data hygiene is the unsexy foundation that makes any AI system actually work. The bigger takeaway: the models will keep getting smarter, but the companies (and individuals) who win are the ones with clean data, solid playbooks, and a workflow harness that can plug in whatever model comes next. This is a practical blueprint for fighting AI-powered threats with your own AI-powered defense. 🎙 Chapters: 00:00 - AI Found a 27-Year-Old Bug 00:37 - What the Demo Covers 02:43 - Test Incidents, Playbooks & Data 06:11 - Live Phishing Workflow Demo 07:08 - Three Branches of Analysis 09:35 - Threat Intelligence Explained 12:31 - Mythos and Zero-Day Threats 15:20 - Why Data Hygiene Matters 16:36 - Workflow Results Walkthrough 21:07 - Social Engineering and Scams 25:07 - Actionable Remediation Steps 30:53 - Data Ingestion for Companies 34:50 - Forward-Deployed Engineering 38:51 - Local Models and Personal Security 40:41 - Where to Find Viraj Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

Most people hear about Claude's Cowork features and wonder how it actually fits into a real automation stack. This episode is the answer: a full walkthrough of connecting Claude Cowork to n8n, building a production-ready email classifier from scratch, and the token-saving tricks that make it all sustainable. Ryan Nolan, who runs a data science YouTube channel and deploys AI automations at his day job, joins the n8n podcast to share his exact playbook for pairing these two tools. The conversation covers setting up the n8n connector in under 60 seconds, calling external APIs through n8n workflows, building an email classifier with human-in-the-loop approval and error handling, and the new Google sign-in flow that eliminates the painful credential setup process. They also dig into why Claude's computer control is too slow for real scraping, and how n8n workflows are a better fit. On the enterprise side, Ryan explains why compliance teams need structured execution logs (not just Cowork skill histories), how to roll out AI automation department by department, and the hackathon where a team with zero n8n experience built a driver's license verification workflow in two days. 🎙 Chapters: 00:00 - Introduction and episode overview 02:23 - Connecting n8n to Claude Cowork 04:21 - Calling APIs from Cowork via n8n 10:27 - Building an email classifier workflow 14:51 - Tips for prompting and iterating 13:42 - Compliance and audit logging 24:10 - Saving tokens with n8n workflows 32:31 - Enterprise security and skills vs workflows 36:48 - Reviewing the built workflow 39:41 - Quick Google credential setup 42:10 - Execution history and debugging 44:01 - The hackathon story 46:45 - Advice for getting started 51:43 - Running with David Goggins Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

🎁 Link to Enterprise Playbook 👉 https://go.n8n.io/n8n-enterprise-playbook Most companies trying to roll out AI get stuck at five or ten workflows. Fullscript, a health tech company with over a thousand employees, built more than 1,500 in under a year (with over a hundred in production) and saved tens of thousands of hours doing it. Sahar Rahmani is the Director of Internal AI at Fullscript. She walks through exactly how they went from engineering-bottlenecked automation requests to company-wide self-service AI adoption using n8n. The conversation covers their hackathon launch strategy, the template library and global credentials trick that removed barriers for non-technical teams, and the highest-value workflows they built across sales, finance, legal, and customer support. If you're looking for a practical enterprise AI automation playbook, this is it. Sahar also shares how they shifted their messaging from "AI first" to "people first, AI powered," and why that cultural reframe was the key to getting real buy-in across every department. 🎙 Chapters: 00:00 - Intro and Fullscript's AI results 02:12 - The state of automation before n8n 03:56 - Workshops, templates, and credentials 06:33 - Why the templates actually worked 09:44 - The company-wide AI hackathon 13:31 - Hackathon advice: start small 20:05 - Sales lead scoring automation 24:37 - ROI: tens of thousands of hours saved 27:20 - Finance invoice reconciliation 32:48 - The Director of Internal AI role 33:48 - Overcoming employee resistance to AI 38:00 - Customer support call automation 42:22 - Legal contract review with local AI 44:56 - Keeping momentum after launch 48:42 - Final advice and where to find Sahar Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

What if AI could let anyone  (not just engineers) build real software? In this impromptu podcast recorded live outside Google Next, Olof Hedin of Lovable sits down with the n8n team to explore how vibe coding is democratizing software creation and reshaping entire industries. Olof shares the origin story of Lovable, from a viral GitHub prototype to one of the fastest-growing companies of all time. The conversation dives into how non-technical users (from nurses at HCA Healthcare to a Brazilian entrepreneur who built a $500K safety app) are building production-ready software with simple prompts.  Olof breaks down the n8n and Lovable MCP partnership, the enterprise adoption playbook including customers like NVIDIA with the emerging tech stack of AI agents, workflow automation, and no-code front ends that's threatening legacy software giants like SAP and Salesforce.  They also discuss what the future holds for solo founders, the one-person billion-dollar company, and the security risks of giving AI agents too much power. 🎙 Chapters: 00:00 - Highlights & Teaser 00:40 - Live From Google Next 02:54 - The Origin Story of Lovable 04:17 - Internal Tools & Vibe Coding 06:26 - The n8n x Lovable Partnership 09:22 - Breaking Down Data Silos 14:54 - Nurses Vibe Coding at HCA 16:27 - The $500K Safety App From Brazil 23:25 - What Makes Lovable Different 26:24 - Enterprise Adoption Barriers 31:28 - The One-Person Billion-Dollar Company 34:54 - Advice for Aspiring Builders 40:15 - Hopes, Fears & AI Security 42:00 - Closing Thoughts Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

🔗 n8n Desk (GitHub): https://go.n8n.io/n8ndesk-github 🔗 n8n Desk (Website): https://go.n8n.io/n8ndesk-website What if you could use Claude Code to build n8n workflows and never worry about it running destructive code on your machine? In this episode, Marcel joins the show to demo two things: n8n's brand new official MCP server (currently in beta), which lets AI agents build workflows for the first time, not just run them. And then his own open source project, n8n Desk: a free desktop app that looks and feels like Claude Desktop, but routes all code execution through n8n instead of your local machine. That means encrypted credentials, a full audit trail, support for any AI model (including local ones), and role-based access for enterprise teams. We also get into vibe flowing, context engineering, and why n8n is actually easier to debug than AI-generated code. Timestamps 0:00 - Claude Code destructive actions story 1:40 - Guest intro & today's topics 1:45 - New ways to build n8n workflows 4:05 - Connecting n8n MCP to Claude Code 5:01 - Old MCP vs. new MCP 5:25 - New MCP builds workflows 5:33 - Any agent can create workflows 6:47 - What is "vibe flowing"? 7:41 - Why n8n is easier to debug 11:32 - AI fatigue & reclaiming your time 11:37 - Setting up the n8n MCP connector 12:50 - Building an IT support buddy agent 13:22 - Vibe coding vs. context engineering 15:14 - Agent creates workflow inside n8n 17:31 - Why the first attempt failed 17:35 - MCP ships built-in reference skills 19:22 - Community MCP & combining skill stores 20:43 - Custom skill stores & plugins 23:13 - Skills as .md files explained 24:21 - Latest & greatest, expect improvements 24:29 - Marcel's side project teaser 24:42 - The problem with Claude Desktop 28:24 - Introducing n8n Desk 28:30 - Run any AI model locally 30:34 - Cowork tab: local files via n8n 37:20 - Chat Hub: talk to n8n agents 38:03 - Kelly calendar agent live demo 42:20 - Free & open source release plans podscan_22hDOpmUwVdA34BDKTOUH48A6pgDQE93 Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

Most HR teams are still setting up Slack, email, and Jira accounts by hand every time someone new joins. And when requests come in from three different places at once? Someone has to manually sort through all of it. In this episode, I sit down with Paul Karrmann — an automation consultant based in Germany who built two n8n workflows that fix both of these problems. 🔗 Free HR Template: https://go.n8n.io/hr-template 🔗 Personio Community Node: https://go.n8n.io/personio-npm ────────────────────────── WHAT WE COVER Workflow #1 — Automated Employee Onboarding The moment someone joins the company, this agent automatically provisions every account (Slack, Jira, door access, and more) and sends a welcome message. Zero manual work. Workflow #2 — HR Request Triage No matter where a request comes in — Slack, Gmail, WhatsApp, or an online form — this workflow normalizes it, deduplicates it, scores it using the Eisenhower Matrix, logs it to Notion or Jira, and only alerts you when something is genuinely urgent. We also go deep on the Personio community node Paul built for n8n, which makes it easy to connect Europe's most widely used HR system to your automation stack. ────────────────────────── TIMESTAMPS 0:00 - Intro 1:21 - Welcome & overview of AI in HR automation 1:57 - Demo: Personio trigger node walkthrough 2:49 - The #1 HR pain point: employee onboarding 3:15 - How the onboarding agent works 3:56 - Setting up Slack notifications & welcome messages 8:06 - Client intake: mapping a company's tool stack 9:43 - On-prem deployments: hospitals & Docker environments 12:54 - HR Triage Workflow: handling requests from Slack, Gmail, WhatsApp 13:19 - Universal intake normalizer explained 14:16 - Eisenhower Matrix for request prioritization 15:14 - Full Eisenhower model breakdown 23:03 - Building the Personio community node 24:04 - Why Paul built it (and where to get it) 25:39 - How to connect with Paul 26:23 - Enterprise-grade automation vs. vibe coding ────────────────────────── #n8n #WorkflowAutomation #HRAutomation #NoCode Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

🎁 Download the n8n plugin repo → https://go.n8n.io/n8n-ide-plugin Stop switching between your IDE and n8n. Build workflows without ever leaving your coding environment. n8n as Code brings n8n directly into Cursor, VS Code, Claude Code, and Open Claude — so you can prompt, build, and iterate on workflows without leaving your editor. In this episode, I sit down with Etienne Lescot, the developer behind n8n as Code, for a fully live demo. We watch him build real workflows inside Claude Code, Open Claude, and Cursor — including a two-way sync where edits in n8n automatically update your local TypeScript files, and vice versa. Zero hallucinations, runs on tiny, cheap LLMs. ––––––––––––––––––––––– ⏱ TIMESTAMPS 0:00 – Intro 1:05 – Meet Etienne: the man who built n8n as Code 1:54 – Live demo begins: building workflows with Claude Code 2:14 – First prompt: Stripe + Postgres workflow 3:37 – Switching to Open Cloud: support ticket triage workflow 5:38 – How n8n as Code works: built-in tooling & local skills 7:02 – Access to 7,000 community templates 16:14 – Installation walkthrough: GitHub repo & setup 23:13 – Cursor demo: lead nurturing workflow 27:51 – Two-way sync between IDE and n8n 28:59 – Zero hallucinations: runs on tiny, cheap LLMs ––––––––––––––––––––––– 🔗 LINKS 📦 n8n as Code template: https://go.n8n.io/n8n-ide-plugin ––––––––––––––––––––––– #n8n #AIAutomation #WorkflowAutomation #CursorAI #ClaudeCode #nocode #lowcode Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

Most businesses want to automate but few know where to start. In this episode, AI engineer and agency owner Dave Ebbelaar walks us through the exact 7-step framework his agency uses to take clients from idea to launch. Whether you're a freelancer, agency owner, or business looking to integrate AI, this episode breaks down a repeatable process that reduces risk, sets the right expectations, and actually delivers ROI. 🔑 What you'll learn: → Why you should use as little AI as possible (even at an AI agency) → How to identify high-value, low-risk automation opportunities → Why mapping your current process before building anything is critical → The difference between deterministic software and AI systems — and why it matters → How to build safeguards so AI failures don't reach your customers → What success metrics to track after launch ⏱️ Timestamps: 0:38 - Overview: 7 Steps to Implementing AI in Business 3:01 - Step 1: Discovery 8:48 - Step 2: Prioritization & Building the Business Case 14:20 - Step 3: Map the As-Is Process 19:23 - Step 4: Map the To-Be Process 23:57 - Step 5: Prototyping & Proof of Concept 28:42 - Step 6: Adding Safeguards & Controls 32:37 - Step 7: Launching & Success Metrics 37:10 - Managing Client Expectations with AI One tool Dave recommends for mapping workflows: Business Process Model and Notation (BPMN). If you've never used it, it's worth checking out: https://en.wikipedia.org/wiki/Business_Process_Model_and_Notation #n8n #AIAutomation #WorkflowAutomation #AI #NoCode Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

🎁  Download n8n Template 1 Here -https://go.n8n.io/ai-short-form-content 🎁  Download n8n Template 2 Here - https://go.n8n.io/human-short-form-co... What if you could turn one long form video into 3 fully edited shorts — with scripts, B-roll, captions, transitions, and a lead magnet — all automated? Timestamp 0:00 - Introduction & what we're building 0:04 - 50,000 LinkedIn impressions from AI-generated content 0:14 - Overview: Long form to short form with minimal human input 2:42 - Phase 1: The fully automated approach (AI avatar) 2:56 - Building AI clones with HeyGen 3:01 - Using Appify to scrape YouTube videos & transcripts 3:37 - The problem with AI avatars & why Adam iterated 5:13 - Live demo of the AI avatar short (example output) 5:45 - B-roll extraction from long form video 15:17 - Building a template library for animations & transitions 18:22 - The AI Video Director node explained 21:20 - Automated lead magnet generation 22:37 - Phase 2: The Telegram approach (human + AI hybrid) 26:34 - The full content pipeline vision & what's next 28:12 - How to set up the workflows (API keys walkthrough) 30:52 - Where to find Adam & his agency Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

🎁  Download n8nClaw Template Here - https://go.n8n.io/n8nClaw Open Claw has taken the AI world by storm with its 24/7 autonomous assistant capabilities, but it's a black box. In this episode, I sit down with Shabbir, an n8n community member who rebuilt Open Claw's core functionality entirely inside N8N—where you can see, customize, and control every single component. What You'll Learn: • Multi-channel messaging (Telegram, WhatsApp, Slack) with persistent conversations • Tiered AI agent system (Haiku → Sonnet → Opus) for cost and speed optimization • Autonomous task management with scheduled heartbeat triggers • Document management with Google Drive integration • Email manager for reading, processing, and sending emails • Vector memory system for long-term context retention • Research agents with web search and Wikipedia integration • Live demos showing real-world usage Key Features: ✅ Open source and fully customizable ✅ Visual workflow you can actually understand ✅ Persistent memory across multiple platforms ✅ Autonomous execution without constant supervision ✅ Domain-specific tool extensions ✅ Complete template available for download Whether you're curious about Open Claw or want to build your own AI assistant with full control, this walkthrough shows you exactly how it's done. We cover the architecture, test it live, and discuss future evolution ideas including recursive agent triggers and local file management. Shabbir's Youtube Channel https://www.youtube.com/ ⁨@ShabNoorAI⁩   Timestamps 00:00 - Introduction to N8N Open Claw Clone 01:19 - Why Open Claw is Popular & What We're Building 02:30 - Live Demo Setup & Overview 03:14 - Multi-Channel Messaging Explained 04:47 - Voice Notes, PDFs & Image Analysis 07:43 - Persistent Memory System 09:31 - Tiered AI Agents (Haiku → Sonnet → Opus) 11:30 - Task Management & Autonomous Execution 13:35 - Heartbeat Scheduling & Proactive Check-ins 14:38 - Google Drive Document Manager 18:46 - Email Manager Integration 20:29 - Research Agents with Wikipedia & Web Search 22:50 - Vector Store for Long-Term Memory 25:16 - Live Test: Sending Checklist via Email 26:05 - Future Evolution Ideas & Customization 27:07 - Recursive Agent Triggers Discussion 28:58 - SSH & Local File Writing Capabilities 29:33 - Template Availability & Final Insights Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

🎁  Download Part 1 Here: https://go.n8n.io/app-creation-workflow 🎁  Download Part 2 Here: https://go.n8n.io/app-creation-workflow-prompts Doc Williams shows you how to build a complete SaaS application that scrapes app store reviews, analyzes them with AI, and helps you identify million-dollar opportunities in underserved markets. The System: This workflow automatically scrapes app reviews, lets users chat with the data using Pine Cone's new assistant node, and even generates Product Requirement Documents (PRDs) to help you build better apps. The entire system uses Fire Crawl for scraping, n8n for automation, Pine Cone for AI chat, Lovable for the front-end, and Stripe for payments. Tech Stack: n8n (automation & workflows) Pine Cone Assistant (AI chat with your data) Lovable (front-end development) Supabase (database) Fire Crawl (review scraping) Stripe (payments) OpenAI (language model) What You'll Learn: • How to scrape and analyze app store reviews to find profitable gaps in the market • Setting up Pine Cone's Assistant Node with n8n (no complicated vectorization needed!) • Embedding AI chat directly into your SaaS application • Saving chat history to a database with Supabase • Building the entire front-end with Lovable AI • Adding Stripe payments to monetize your app • Real example: Oil Field Calendar app making $50k+/month 0:00 - Introduction & Overview 0:22 - What You'll Learn Today 1:00 - The App Review System Demo 2:16 - How to Find Profitable App Opportunities 3:52 - Live Demo: Oil Field Calendar Example 5:30 - Using AI Chat with Pine Cone 9:30 - Embedding the Chat Feature in Your SaaS 10:17 - Tech Stack Overview 11:57 - Inside the n8n Workflow 15:00 - Understanding Pine Cone Assistant Node 17:30 - Top K and Snippet Size Explained 19:47 - Data Shape and Configuration Tips 22:09 - Metadata Filters Setup 22:56 - Saving Chat History to Database 24:26 - Generating Product Requirements (PRDs) 26:40 - Full Tech Stack Breakdown 29:52 - Setting Up with Lovable & Stripe 30:30 - Template & Prompt Availability 31:14 - Future Opportunities & Market Ideas 33:26 - Closing Thoughts & Where to Connect Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

🎁  Download Part 1 Here: https://go.n8n.io/n8n-dashboard-frontend 🎁  Download Part 2 Here: https://go.n8n.io/n8n-dashboard-backend In this episode, Aemal walks through building a comprehensive monitoring dashboard for n8n workflows that enterprises can use to track every execution, identify failures, and even calculate workflow costs. Timestamps: 0:00 - Introduction 2:30 - Understanding n8n Backend Hooks 8:45 - Setting Up Supabase Schema 15:20 - Capturing Execution Data 22:10 - Building the Dashboard with Replit 35:15 - Security Best Practices 38:40 - Future of AI Development What You'll Learn: • How to use n8n backend hooks to capture execution telemetry data • Setting up Supabase to store workflow execution logs • Building a real-time dashboard with Next.js and Replit • Implementing enterprise-grade monitoring for n8n instances • Security best practices when connecting frontend to backend • Using AG Grid for advanced data filtering and visualization Key Features Built: ✅ Real-time execution tracking ✅ Failure monitoring and notifications ✅ Execution data analysis with full JSON context ✅ Cost tracking for workflows (especially token usage) ✅ Enterprise-grade UI with Hero UI components Tech Stack: n8n (workflow automation) Supabase (database) Next.js (full-stack framework) Replit (development & deployment) AG Grid (data tables) Hero UI (component library) GitHub Repositories: Both the n8n backend hooks and the dashboard UI are available as open-source repositories. Links in the description! Perfect For: CTOs and technical leaders monitoring n8n deployments Business operators tracking workflow performance DevOps teams needing execution visibility Anyone running enterprise n8n instances Bonus Discussion: We also dive into the future of AI-native development, vibe coding with tools like Replit and Cursor, and how AI is transforming software engineering productivity by 20-50x. Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.

🎁  Download n8n Template Here: go.n8n.io/linkedin-posts-template 🎙️ In this episode, Simon Cotton joins me to break down how to build growth systems that actually compound and how to stop imposter syndrome from quietly sabotaging your momentum. We get into: • How to accelerate business growth using automation + AI • Why human-in-the-loop systems beat “set it and forget it” automations • The real way Simon worked through imposter syndrome • How SEO fits into a modern, automation-first growth strategy  If you’re building, scaling, or trying to show up more confidently online, this conversation will hit home. Get 30% Off n8n Cloud Starter or Pro Plans! Want to get started with n8n? Visit n8n.io/pricing and use code 2025-N8N-PODCAST-729C416E at checkout for 30% off your first month or year.