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.

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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.

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.