How Not to Use AI (And Why Lazy AI Kills Trust)

byTheAmazingMG

1.6K followers

2 weeks ago

How Not to Use AI

It is time for another Amazing Rant on how not to use AI. If you were to scroll through our WA blog or almost any online forum, you’ll see it: people dropping AI-sounding comments that don’t fit the post. The very same compliment over and over, or the same stiff tone. The same “thanks for sharing” is copied and pasted like they are working a shift at a spam factory.

This post isn’t anti-AI, because I use it, and you probably do too. The problem is using it in a way that burns trust, kills conversation, and pisses people off. It also makes your brand look and feel like a cardboard cutout, the exact thing many try to teach to make you stand apart from the crowd and become original.

And in 2026, both readers and platforms themselves can spot low-effort AI fast. The too-smooth rhythm. The vague praise. The confidence with zero contact with reality.

The fastest ways to misuse AI (and get ignored)

The quickest way to poison your reputation is to treat AI like a full replacement for thinking. You hit generate, you post raw output, you chase volume instead of providing value, and you skip basic readability because “it’s good enough.”

Sorry to burst your bubble, but you need to hear this. It’s not!

People don’t reward speed; they reward signals that you were actually there in the here and now. That you noticed something they needed help with and tried your best to provide a solution. That you’ve done the work instead of relying on a machine to do it for you. Both search engines and humans react to the same thing: that's trust. If your content reads as if it came off a conveyor belt, your credibility goes with it.

That’s when real "experience" steps in. Not as a title, but as proof, clear details, an honest take, or one small thing you couldn’t fake or guess.

If you’re using AI to write, at least be honest about the tradeoff and edit like your name is on it, because it is. I typically would not do this by sending you outside the platform, but this is a great article that helps explain my point. The Pros and Cons of Outsourcing Social Media Comments to AI

Copy-paste AI text with no edit, no fact-check, no point

What it looks like:

• “This is such an insightful post” (no mention of what was insightful).
• A weirdly formal tone in a casual thread, like a robot wearing a tie.
• Wrong details (names, dates, claims) were said with total confidence.
• Keyword-stuffed lines that sound like a broken vending machine.

Quick fix checklist:

• Read it out loud once.
• Cut out the BS (🐂💩) and repeated phrases.
• Verify names and claims.
• Add one specific detail you noticed (a line, an example, a takeaway).

Using the same comment everywhere (the lazy shortcut that backfires)

Posting the same comment across threads doesn’t save time; it announces to a creator that you don’t care. It adds zero value, and people feel it immediately. Over time, the same comment is noticed, and people get the feeling it would be better if you had said nothing at all.

The truth is, AI automation sometimes makes people mad, which can get you muted, moderated, or mentally blacklisted.

An easy replacement that works even if using AI: One sentence referencing the post, one sentence from your own experience, one question that moves the thread forward. But this requires you to be present and to participate hand in hand with AI, not to use AI alone.

How AI goes wrong in comments and community replies

Comments are relationship territory. AI tends to fail there because it misses context, over-agrees, dodges specifics, and sometimes invents details. It can sound “helpful” while being empty, which is a special kind of irritating, because sometimes people are looking for human value. They could give two craps what GPT thinks. They value honest, human opinions.

The "sounds helpful" reply that actually says nothing

Empty agreement: “Great tips, very informative, thanks!”

Better human version: “The part about editing AI output hit me, I’ve posted a draft too fast before, and it showed. I’m going to start checking claims before I reply.”

People want real reactions, not a perfect corporate tone, and not some repeated canned comment you have used over and over again on their last six posts. Your mission from here on out is add value to the conversation.

Confidently wrong details and awkward tone shifts

AI can hallucinate facts or misread what the post meant, then switch tone mid-paragraph, as if it had changed personalities like the psychotic ex-girlfriend you don't like talking about.

Guardrails that save you:

• Quote one line from the post before replying.
• Don’t mention facts you didn’t verify.
• Keep your tone consistent with how you normally write.

A simple way to use AI without losing your voice

Here’s the rule I try to live by: AI for structure, you for substance. If you wouldn’t say it out loud, don’t publish it.

The improved workflow (fast, not fancy): ask AI for an outline or a rough reply, then rewrite the twinkie filling (Center) in your own words. Afterward, fact-check anything that looks like a claim. Lastly, add one real opinion to add value, even if it’s slightly off. In other words, participate in the conversation instead of just being a wart taking up space on the skin.

If your drafts feel padded, this mindset helps: removing fluff from AI-generated blog posts.

Use AI for starting points, then add proof that you are a real person

Human signals that instantly raise trust:

• A small story.
• A mistake you made.
• A specific example.
• A number you personally tracked.
• A clear recommendation.
• One honest line of restraint, like “I might be wrong, but…”

The End of My Rant

AI is fine, but lazy low-effort AI makes you look fake, especially in comments where trust is the whole point. If you want a simple test, pick one place you use AI (comments, emails, posts), apply the workflow for a week, and watch what happens to replies. More real conversation is the reward for sounding like a person, not a damned machine.