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Author: Olaitan Oladipo
Olaitan Oladipo holds a BSc in Sociology from Olabisi Onabanjo University. He is a self-taught automation builder who has spent years inside n8n doing the work that most tutorials skip: debugging OAuth errors at 2am, migrating client automations from Make.com mid-project, fighting reverse proxy misconfigurations on AWS EC2, and figuring out through trial and error what actually holds up in production versus what only looks clean in a demo. He is not a developer by training and not a SaaS founder. He is the person in the Discord server who actually answers the question instead of linking to the docs. His writing on n8n Automation Tutorial covers self-hosting, AI agent workflows, tool comparisons, and the security vulnerabilities the automation industry would rather not discuss. He has built AI-assisted invoice approval flows using OpenAI function calling, connected Claude via HTTP Request nodes, and holds considered opinions about Zapier, Make.com, LangChain, and CrewAI that their marketing teams would not appreciate. He writes for people who are technical enough to follow a tutorial but experienced enough to want the honest version.
The invoice that did it was $340. Not the highest I’d ever paid Zapier, which is the depressing part. It was just the one I happened to actually look at pr
For the previous guide in this series, read CrewAI vs n8n: 6 Key Differences, Pricing, and Which Tool to Use in 2026. Flowise is an open-source visual platform built specifically for AI agents and LLM workflows, while n8n is a general-purpose workflow automation platform with native AI capabilities. Choosing between them depends on whether the primary goal is building AI chatbots and RAG pipelines, or connecting business apps and automating multi-step processes. What Are Flowise and n8n? Flowise is a low-code, open-source AI agent builder co-founded by Henry Heng and Chung Yau Ong in 2023, launched through Y Combinator, and…
For the previous guide in this series, read n8n vs Node-RED: 6 Key Differences Between a Business Automation Platform and an IoT Workflow Tool in 2026. CrewAI is a Python framework for orchestrating collaborative multi-agent AI systems. n8n is a visual workflow automation platform with over 500 integrations that recently added AI agent capabilities. Both tools build AI-powered automation, but they serve different purposes, audiences, and skill levels. CrewAI launched in November 2023. n8n has been active since 2019 and holds over 133,000 GitHub stars, placing it among the top 50 public repositories on GitHub. What Is CrewAI? CrewAI is…
The email came at 8:47 in the morning from a client asking why their weekly report had not arrived. I opened my laptop already knowing, the way you know wh
There is a specific GitHub issue I want to describe because it is the clearest illustration I have of why the open-source automation movement keeps winning
The first night I ran the business monitoring workflow in production it sent fourteen Slack messages between half two and five in the morning. Not because
I saw the CISA alert on a Thursday morning and my first thought was not about the vulnerability. It was about a specific n8n instance I helped someone set
The notification came through at half ten on a Tuesday. TechCrunch headline, Zapier’s valuation, five billion and something, the automation space heating u
For the previous guide in this series, read Blog research and writer n8n workflow: Build An AI System That Writes Viral Posts. n8n is a business workflow automation platform with 1,000-plus integrations and native AI agent support. Node-RED is a free, Apache 2.0-licensed visual programming tool built for IoT, hardware, and event-driven flows. The core difference is SaaS automation versus edge computing. What Are n8n and Node-RED? n8n and Node-RED are both open-source, node-based visual automation tools. They share a similar canvas interface but serve fundamentally different use cases. n8n connects cloud apps, APIs, and databases for business process automation.…
The first sign was a credential that stopped working. Not dramatically — no 401 cascade, no workflow failing loudly across twelve executions. Just a single
