OpenAI Agent Builder vs n8n LangChain

OpenAI has just released Agent Builder and Agent SDK, and many people are already wondering if this will be a game-changer for those working with automation and AI. In this video, I share my perspective on the impact of this launch, explain how these new features connect with tools like n8n, and why I believe this arrival is much more of an opportunity than a threat. See also: Schedule a Consultation: https://go.promovaweb.com/whatsapp-pr... Learn about our Courses: https://promovaweb.com Join our community: https://comunidade.promovaweb.com Join the WhatsApp Group: https://promovaweb.com/whatsapp I show how Agent Builder works in practice, with its proposal for building visual agents or via code using Node, Python, or Go, and discuss how it can be integrated with other platforms. I also discuss MCP Server, guardrails, observability, task delegation, and the importance of viewing these solutions as part of a "tool belt" to increase productivity and scale. Video Timestamp 00:00 – My perspective on the launch of the Agent Builder and Agent SDK 00:47 – What changes with the arrival of OpenAI agents 01:21 – Complementary tools: n8n, Make, LangChain, and others 02:11 – Internal structure: models, tools, prompts, and guardrails 03:01 – Observability, token consumption, and best practices 03:34 – Visual First vs. Code First: two approaches to creating agents 04:22 – Integration with MCP Server and task delegation 05:30 – Image generation, code interpretation, and web automation 07:06 – Healthy competition driving the AI ​​market 09:00 – Evaluation and recent n8n improvements 11:00 – Delegation to scale and save infrastructure 13:06 – Final impressions on the Agent Builder interface and potential 13:47 – Invitation to the community and opportunities for collaboration Learning #OpenAI #AgenteBuilder #AgenteSDK #n8n #Automation #AI ​​#ArtificialIntelligence #MCP #NoCode #LowCode #DevOps #Promovaweb #LuizEduardo #AIforBusiness #Serverless #Chatbot #AItools