AI Blogs

What ends up in this category

This isn't a running list of every AI tool that launched this week. Most of those get tried once, quietly dropped, and never mentioned again — that's not a story worth a post. What lands here is narrower: tools and techniques that survived contact with real work long enough to earn a permanent spot in the day-to-day toolkit, plus the honest failures that were worth writing up anyway — a workflow that looked good in a demo and fell apart on a real dataset, a prompt pattern that worked for weeks and then quietly stopped.

The through-line across every post here is "does this actually save time or improve output on a real task," not "is this technically impressive." A lot of AI content online is written by people demoing a feature for the first time. This category is written by someone who used the thing for a month first.

The kind of posts you'll find here

Expect coverage of AI-assisted coding workflows, automation that chains a model into an existing process rather than replacing the process outright, prompt techniques that generalize beyond one specific tool, and the occasional teardown of a tool that got recommended everywhere but didn't hold up under actual use. When a post recommends something, it's because it was still in use at the time of writing — not because a vendor sent a review copy.

Some posts double as the AI side of the paid work: Remote SEO Consultant work increasingly involves AI-assisted content and technical workflows, and posts here sometimes come directly out of that — generalized and stripped of anything client-specific, but grounded in something that had to actually work for a paying engagement, not just for a blog post.

Why this lives separately from Workflow

AI and Workflow overlap constantly — most AI tooling here IS a workflow change. The split exists anyway: a post goes in AI when the model/tool itself is the subject (what it does, where it breaks, how to prompt it), and in Workflow when the subject is the surrounding system a tool gets slotted into (how pieces connect, what triggers what, where a human still needs to check the output). If a post could honestly go either way, it goes wherever the actual point of the post sits.

Keeping this current

AI tooling changes fast enough that a 6-month-old post can be describing a completely different product by the time someone reads it. Posts here get a real "last updated" pass when something material changes, not a silent rewrite — if a recommendation stopped being true, the post says so rather than just disappearing.