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

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🔗 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

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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

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🎁 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

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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

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🎁 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

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🎁 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

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🎁 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

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