🎁 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.

🎁 Download n8n Template Here: https://go.n8n.io/content-idea-template

Discover how Chase Hannigan grew from zero to 200,000 followers across YouTube, Instagram, and TikTok in just over a year without any prior content creation experience. In this episode, we dive deep into his AI-powered content ideation system that scrapes trending topics from YouTube, Reddit, Twitter, and Perplexity to generate daily reports and content scripts.

Chapters:
01:06 What You’ll Learn + Free n8n Workflow Overview
02:24 The Real Problem: Manual Ideation & Doom Scrolling
03:45 Automating Content Ideation Across Platforms
05:25 Screen Share Begins – Live Walkthrough of the n8n Workflow
06:00 High-Level System Architecture
06:30 YouTube Data Ingestion & Filtering Logic
07:10 Transcript Analysis with LLMs
07:45 Multi-Platform Expansion: Reddit, Twitter, Perplexity
09:00 How the Daily Digest Report Is Generated
09:25 Airtable + Email Report Delivery
09:45 Content Script Generation (Hooks, Bodies, CTAs)
11:00 Why This Is Not RAG (And When You’d Want It)
11:30 Filtering Noise with Engagement Metrics
12:30 Content Volume Strategy
14:00 Hook Optimization & Pre-Validated Ideas
15:15 Frameworks vs Off-the-Cuff Content
16:00 Recording Stack
17:05 Why Ideation Is the Highest-Leverage Automation
18:00 Posting & Editing Workflow
19:00 Why Fancy Editing Doesn’t Matter for Technical Audiences
23:15 Reducing Friction to Stay Consistent
24:20 Handling Cringe, Feedback, and Early Videos
25:55 Real Business Outcomes from Content Automation
32:00 Where to Find the Workflow + Final Takeaways

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.

In this episode, we sit down with Cole Medin, CTO of Automator and expert in applied AI, to dive deep into context engineering, RAG (Retrieval Augmented Generation), and building scalable AI workflows. Cole shares practical strategies for cutting through the noise in the AI space, designing effective prompts, and moving from prototypes to production-ready systems. Whether you’re an AI builder, developer, or just curious about the latest in automation, this conversation is packed with actionable insights and real-world advice.

00:00 – Introduction: The challenge of too much “fluff” in the AI space and how to focus on what matters.
00:22 – Meet Cole Meine: Background, expertise, and his mission in applied AI.
01:59 – What listeners will learn: Context engineering, RAG, and moving workflows to production.
02:40 – The origin of context engineering: Why treating prompts and context as engineered resources matters.
03:49 – Vibe coding vs. context engineering: The importance of specificity and reducing assumptions.
06:18 – Practical steps for context engineering: Mindset shift, planning, and using AI to ask clarifying questions.
08:47 – Success criteria and user journeys: How to define what “done” looks like for AI projects.
12:36 – How much time to spend on planning: Product requirement docs and upfront investment.
13:54 – Favorite AI coding tools: Cloud Code, Codex, and Google’s Anti-Gravity.
15:23 – Staying up to date in AI: Research strategies and the value of community.
18:09 – Introduction to RAG (Retrieval Augmented Generation): What it is and why it matters.
20:41 – How RAG works: Embedding models, vector databases, and semantic search.
24:45 – Metadata filtering in RAG: Multi-tenancy, hierarchical search, and business use cases.
28:46 – Handling messy data: ETL/ELT pipelines and preparing data for AI agents.
32:06 – Scaling workflows: Moving from n8n prototypes to production code (Python/TypeScript).
34:38 – Deployment strategies: Frontend, backend, and cloud hosting options.
37:13 – The importance of version control: Using GitHub for safe states and CI/CD.
40:05 – Final advice: Start simple, build your process, and customize your system.
41:15 – Where to find more: Cole Meine’s YouTube channel for more on RAG and context engineering.

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.

In this episode, we sit down with Stephen Pope, a tech founder who built and sold a seven-figure software company, to uncover the real steps behind building SaaS apps that people actually want. Stephen shares his journey from agency work to productization, revealing how he created the Content Engine Database and scaled it to $50K+ months.

00:00 – Introduction & Stephen’s Background
01:23 – The Drive to Build: Early Entrepreneurial Spirit
02:45 – What Does Automation Really Do?
04:47 – Building a $5K SaaS Product with AI
07:11 – The Value for Listeners
08:47 – Stephen’s Process for Engineering SaaS Products
10:16 – Solving Your Own Problems: The Content Engine Database
12:54 – Going Viral and Finding Product-Market Fit
15:12 – From Agency Work to Productization
18:20 – How the Content Engine Database Works
22:03 – Organizing Content for Scale
25:00 – Repurposing Content & Automation
28:15 – Using AI and Automation in Content Creation
31:00 – The 5 Steps to Building SaaS Apps People Want
36:00 – Lead Generation, Funnels, and Project Management
40:00 – The Importance of Organization
44:00 – Finding the Right Customers
48:00 – Iteration, Feedback, and Community
52:00 – Overcoming Distractions and Staying Focused
56:00 – Final Advice & Where to Find Stephen

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.

In this episode, we sit down with Oskar, an automation developer and YouTube educator, to explore the world of business process automation using n8n. Oskar shares his journey from solving everyday business problems to building advanced workflows, including autonomous web scraping, lead generation, and custom dashboards. We discuss practical use cases for both businesses and individuals, the importance of experimentation, and how to identify the best opportunities for automation. Oskar also highlights the power of community, the latest features in n8n, and offers advice for anyone looking to get started with automation. Whether you’re a beginner or an experienced developer, this conversation is packed with actionable insights and inspiration to help you automate and innovate.

00:00 Introduction & Guest Overview
00:26 Autonomous Scraping Workflow
01:46 Lead Generation Use Cases
03:41 Automating Business Processes
06:25 Currency Exchange Workflow
08:34 Home Budgeting Automation
10:48 Entry Points to n8n
13:19 Flexibility & User Interface
15:54 Handoffs with Developer Teams
17:15 Custom Dashboards & Business Use Cases
21:11 Material Selection Chatbot
24:45 Multi-Agent Features in n8n
27:01 Debugging & Production Readiness
31:00 Identifying Automation Opportunities
33:10 Learning & Experimentation
36:31 Community & Collaboration
39:00 Final Advice & How to Connect with Oskar

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.