Hey everyone, been trying to improve my blog posts about my Terraform learning journey. Saw that Writesonic has a new 'Content Improver' template. I gave it a shot on a short paragraph I wrote.
Here was my original prompt/input:
> "I used Terraform to make an S3 bucket. It was good. I set the ACL. The bucket is for my website."
Here's what two different tools gave me back.
**Writesonic (Content Improver template):**
> "Leveraging Terraform, I successfully provisioned a secure S3 bucket configured for static website hosting. I meticulously defined the Access Control List (ACL) to ensure proper data privacy. This infrastructure-as-code approach streamlined the deployment of my personal website's storage backend."
**ChatGPT (GPT-4, my usual go-to):**
> "In this project, I utilized Terraform to create an Amazon S3 bucket to host my static website. I configured the bucket's Access Control List (ACL) settings to manage permissions appropriately. Using Infrastructure as Code (IaC) made the process repeatable and efficient."
My honest notes? The Writesonic one feels... too fancy? Like "leveraging" and "meticulously defined." I'm just a newbie who made a bucket 😅. The ChatGPT version sounds more like how I'd actually explain it to someone else learning.
Also, Writesonic added "secure" and "data privacy" which I never mentioned. Is that a good thing, or is it assuming too much? I just used a simple `acl = "private"` in my config.
Has anyone else tried this template for technical content? Does it work better for other types of writing?
You've just demonstrated the exact reason "content improver" tools are silly. They replace a human voice with corporate jargon.
Your original was fine. A newbie describing what they did. The Writesonic output reads like a press release for a product you didn't build. "Meticulously defined"? Please.
Stick with the simpler output, or better yet, just explain it your own way.
Your vendor is not your friend.
I completely agree with the sentiment about AI-generated jargon. The Writesonic output contains several red flags, especially for technical content.
The phrase "successfully provisioned a secure S3 bucket" is dangerously vague from a cost and security perspective. Did you enable public access blocks? What about default encryption? "Secure" is a non-term. The original was more honest.
The ChatGPT version is more functional because it uses standard terms like "manage permissions appropriately" and "repeatable and efficient." It's closer to a real blog post a practitioner would write. I'd go with that output, then manually add one specific detail, like `acl = "private"` or why you chose IaC for this simple task.
Right-size or die
I agree, the critique of "secure" as a non-term is spot on. This is a common failure mode when generic content models try to address technical topics. They insert subjective adjectives where objective configuration details are required.
Your suggestion to manually add a specific detail like `acl = "private"` is the correct workflow. The real value of these "improver" templates might be in restructuring a messy draft, but the user must then critically audit and insert precise terminology. For a Terraform post, the improved version should ideally prompt the inclusion of a small code snippet showing the actual resource block, which would automatically ground the language in specifics.
The difference between the two outputs shows the gap between a general-purpose LLM (GPT-4) and a template fine-tuned for a marketing use-case. The latter seems optimized to sound impressive, while the former is better at preserving functional prose.
You've hit on a core issue - these templates optimize for "sounding impressive" over being useful. I think the inclusion of a code snippet is the real test.
If the "improver" output prompted me to add something like this, it would have value:
resource "aws_s3_bucket" "website" {
bucket = "my-static-site"
acl = "private"
website {
index_document = "index.html"
}
}
Without that, it's just dressing up a lack of substance. The jargon is a signal that specific configuration trade-offs weren't considered, like cost implications of bucket settings or whether you'd even use an ACL versus a bucket policy.
Cloud cost nerd. No, I don't use Reserved Instances.
The code snippet is the only honest part of the whole exercise. It documents the actual security posture. "ACL = private" means something. "Meticulously defined" does not.
These tools miss the point that in technical writing, precision *is* the improvement. Swapping "I set the ACL" for "I meticulously defined the Access Control List" adds nothing but audit risk. Now you have to prove what "meticulously" entailed.
Trust but verify – and audit
You've answered your own question. If your own output feels "too fancy," it's because it is. It's adding a confidence you haven't earned yet. A newbie blog post that overpromises on skill will get shredded in the comments when someone asks you to define "secure."
Stick with the simpler version. Better to sound like a newbie who made a bucket than a marketer who "meticulously defined" one.
Your vendor is not your friend.
I know what you mean about the fancy language. It feels like it's trying to make my simple S3 bucket sound like a NASA project. The ChatGPT version is closer, but maybe you could just explain it in your own words and skip the tool? Like, "I created a private S3 bucket for my site using Terraform. Here's the exact resource block I used." That's more useful for other people learning.
Yeah, exactly! "I created a private S3 bucket for my site using Terraform. Here's the exact resource block I used." That's a great example of just explaining it cleanly. It's the kind of post I'd actually click on to learn.
The fancy language backfires, it makes me skeptical. When I'm looking for Terraform help, I trust the person who just says what they did, not the one who "meticulously" anything.
Keep it simple.
That "too fancy" feeling you're getting is the template doing its job, just not a job that's helpful for your readers. It's swapping honest description for the kind of language vendors use in sales sheets to imply competence they can't detail.
The giveaway is "meticulously defined." In a real procurement review, I'd ask for the specific controls that prove meticulousness. Since it's a blog post, it just signals you're using a thesaurus instead of Terraform documentation. The ChatGPT version at least stays in the realm of functional description, even if it's a bit dry. Your own revised sentence in the later post is the actual improvement.
— skeptical but fair
You've zeroed in on the exact problem: the substitution of adjectives for evidence. "Meticulously defined" is worse than just "set," because it introduces a claim that can be falsified during a review or audit.
This applies beyond security posture. If I read a post stating the author "carefully optimized" a database query, but then see a `SELECT *` in their code snippet, the discredit is total. The template's "improvement" isn't just unhelpful, it's a liability. The tool is adding audit risk by creating a gap between the boastful language and the provable artifact.
In that sense, the code block isn't just honest; it's a defense against the template's own marketing-speak. It pins the flowery prose to a concrete, verifiable state.
Measure twice, cut once.
The problem isn't that it's "too fancy." It's that the phrasing creates contractual language. If you wrote "meticulously defined the Access Control List" in a post-mortem for an incident where that bucket got exposed, that line would be exhibit A in the blame session. Stick with "I set the ACL to private." It's boring, but boring doesn't get you fired.
You're right about the contractual language. It's not just about blame, it's about cost. If I wrote "optimized for cost-efficiency" in a post-mortem and the exposed bucket was also using S3 Standard with no lifecycle policy, that's a secondary compliance failure.
The language creates a measurable benchmark. "I set the ACL to private" describes a state. "Meticulously defined" implies a process. In FinOps, you'd have to justify that no cheaper storage tier was "meticulously" considered, which opens another line of inquiry.
Boring language closes doors. Fancy language opens them for auditors.
Less spend, more headroom.
Your hunch about the "too fancy" feeling is spot on. That's how all marketing copy reads when you're used to looking at logs and query plans. It's the buzzword filter kicking in.
These "improvements" always trade precise nouns for vague adjectives. In my world, "successfully provisioned a secure S3 bucket" would get a ticket asking me to define "secure" and prove it. The original "I set the ACL" at least points to a tangible action.
Stick with the ChatGPT version. It's drier, but dryness is a feature. The worst that happens is someone says your writing is boring. The Writesonic version invites someone to ask what you mean by "meticulously." Then you're stuck.
SQL is enough
Yeah, the "press release for a product you didn't build" is the perfect description. It's not just corporate jargon, it's *stolen* corporate jargon.
I ran a benchmark once between a human-written release note and a few of these "improvers." The AI versions scored higher on readability metrics, sure. But the survey group said the human version was "believable" and the polished ones "felt like they were hiding something."
That's the cost. You trade trust for a better Flesch score.