For the previous guide in this series, read Flowise vs n8n: 7 Key Differences in AI Agent Building and Workflow Automation. n8n is not HIPAA compliant by default. n8n does not include built-in compliance certifications or safeguards required for handling Protected Health Information (PHI) as an open-source automation platform. However, n8n HIPAA compliance can be achieved when it is deployed in a secure, controlled environment with the proper safeguards in place. What Is n8n HIPAA Compliance? n8n HIPAA compliance is the process of configuring a self-hosted n8n instance to meet the administrative, physical, and technical requirements set by the Health…
Author: Olaitan Oladipo
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.
A client sent me a screenshot of their SaaS expenses in February. Forty-two thousand dollars a year. Seventeen different subscriptions. The message underne
The first time a client went from contact form to signed contract to paid deposit without me touching anything, I was in the middle of a different client c
Someone linked me to the MIT preprint in March, not because they thought I’d find the research interesting, but because one of the figures in the paper was
It was eleven at night when I pulled up the npm page for the community node my client had installed three months before I started working with them. I wasn
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