EP 145 - AI Tools: N8N with Stav Charkham
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A proposito di questo titolo
- 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 tool Stav loves, combining automation frameworks with front-end flexibility
- And much more!
Want to connect with Stav or learn more?
- LinkedIn:
https://www.linkedin.com/in/st...
You can also connect with us and find more episodes:
- Product for Product Podcast:
http://linkedin.com/company/pr...
- Matt Green:
https://www.linkedin.com/in/ma...
- Moshe Mikanovsky:
http://www.linkedin.com/in/mik...
Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.
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