# EP 145 - AI Tools: N8N with Stav Charkham

Page: https://stenobird.com/podcast/product-for-product-management-3487998/ep-145-ai-tools-n8n-with-stav-charkham
Text version: https://stenobird.com/podcast/product-for-product-management-3487998/ep-145-ai-tools-n8n-with-stav-charkham.md
Podcast: [Product for Product Management](https://stenobird.com/podcast/product-for-product-management-3487998)
Published: 2026-01-07T06:00:08+00:00
Episode link: https://www.spreaker.com/episode/ep-145-ai-tools-n8n-with-stav-charkham--68929724
Audio file: https://api.spreaker.com/download/episode/68929724/ep_145_n8n_stav_charkham.mp3
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JSON: https://stenobird.com/v1/public/podcasts/product-for-product-management-3487998/episodes/ep-145-ai-tools-n8n-with-stav-charkham
Duration seconds: 3333

## Resource

We’re excited to welcome Stav Charkham, Business Product Builder at Voyantis, former Product Manager and founder in EdTech, and seasoned automation expert, for a standout episode on using n8n and agentic AI to empower product managers and teams.Stav takes us through his journey from building products with no-code tools like Bubble and iPaaS tools like Make, to his current work scaling business workflows with AI, n8n, and internal systems at Voyantis. Learn how Stav helps teams go from research to business value in days, sometimes even hours, by combining open-source automation, hands-on user insight, and a bias for action.Join Matt, Moshe, and Stav as they explore: - What makes n8n different: open source, secure, and ready for power users, or anyone who wants to build without a developer - The basics of agentic AI: moving beyond IF/THEN logic, with “agents” that make real decisions using LLMs, memory, and a toolset - Practical use cases: how to save hours on manual work, analyze massive amounts of meeting data, and surface business opportunities using AI-powered automations - How Product Managers can independently build tools for their needs, deploying automations without writing code - n8n’s interface and workflow, and where technical skill might still required - Open source advantages and trade-offs: privacy, flexibility, cost, and the challenge of building and maintaining integrations - Why automation costs matter, and Stav’s real-world tips for measuring and optimizing LLM call expenses - Agentic vs. traditional workflows: when to use an AI agent, and when it’s not worth the extra cost or unpredictability - Cautionary tales and improvement wishes for n8n: integration gaps, edge cases, technical hurdles, and the ongoing quest for less technical UX - Kadabra, another…

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## Transcript

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