Last updated: July 2026
Stack Your Side publishes practical guides on AI tools, automation, and side income for freelancers and remote workers. This page explains how we actually research, write, and maintain that content, so you know exactly what you're reading and how much weight to give it.
Our articles are built from publicly available product documentation, pricing pages, feature comparisons, and documented user experiences with the tools we cover, combined with general, well-established freelance industry practice. We synthesize this into practical, plain-language guidance rather than simply repeating marketing copy from the tools themselves.
We're direct about this: not every tool mentioned on this site has been hands-on tested by our team with real client work. Where an article implies or states direct testing, that reflects genuine use. Where it doesn't, our guidance is based on thorough research rather than firsthand testing, and we aim to be clear about that distinction rather than blur it for effect. If you ever spot a claim that reads as more definitive than it should, we'd genuinely like to know, see our contact page.
AI tools change quickly, pricing shifts, features get added or removed, and what was accurate six months ago can go stale fast. We periodically review and update older articles rather than treating publication as a one-time event. Each article displays its most recent update date near the top.
Some links on this site may be affiliate links, meaning we may earn a small commission if you sign up for a tool through them, at no extra cost to you. This never determines which tools we choose to cover or how favorably we describe them. See our privacy policy for more on data and cookies.
If something on this site is factually wrong, outdated, or misleading, we want to fix it. Reach out through our contact page and we'll review and correct it promptly.
Stack Your Side publishes under a team byline rather than individual personal names. We believe the accuracy and usefulness of the guidance matters more than who specifically wrote it, and this approach lets us keep the focus on the content itself.