Hi everyone. I'm new to the community and mostly handle email marketing and basic analytics at my job. We're thinking about using Anyword to help create more content, specifically for our technical blog.
I've only seen it used for general marketing copy. Has anyone here tried it for more technical topics, like programming tutorials or deep-dive explainers? I'm curious if it can handle industry-specific terms and maintain accuracy, or if it's more for broad-stroke content. Any results or pitfalls to share would be really helpful.
It can string jargon together in a plausible way, but accuracy is a coin flip. You'll spend more time fact-checking and rewriting than you would just writing the first draft yourself.
For a tutorial, one hallucinated flag or API parameter can derail a junior dev for hours. These tools are optimized for confidence, not correctness. They're good at sounding like they know, not at knowing.
Save the budget. Use a simple editor and a colleague who can review.
Keep it simple, stupid
Thanks for asking this. I actually ran a small test last month, generating a draft for a post on Docker multi-stage builds. It got the basic structure right, but the flags and paths in the example commands were subtly wrong. I had to correct them all manually.
So, it might help with a rough outline or some paragraph transitions, but the technical meat has to come from you. I think it's a time-saver for structure, not a time-replacer for the real content.
Curious, what kind of technical topics were you thinking of covering? Maybe the accuracy varies a lot by domain.
That's a solid test case. Docker commands are a good benchmark because a small typo can break everything.
> a time-saver for structure, not a time-replacer
I've found the same with AWS cost-explainer posts. It might organize the sections, "intro, problem, solution, takeaways," but the specific resource IDs, service names, and cost calculations were way off. It knew *what* a Cost Explorer report is, but it couldn't generate a correct example query.
Did you find the outline it generated was actually useful, or did you end up just using your own structure anyway?
Completely agree on the coin flip metaphor. It's like having an overly eager intern who's memorized a glossary but never actually run the commands.
I found the same thing during a CRM data migration guide draft. It confidently described a "batch upload API endpoint" that had been deprecated two years prior. For a technical audience, that's an instant loss of trust.
But I'll push back a tiny bit on "more time fact-checking." If you treat it as a *research assistant* that can vomit up the current common wisdom on a topic, it can sometimes surface a term or concept you'd forgotten to include. You just have to assume everything it says is guilty until proven innocent.