How to Stay Authentic While Using AI
The most common criticism of AI-assisted content is also the most valid one: “It all sounds the same.”
The short answer: AI content sounds generic when you give it generic direction and accept generic output. Authenticity is not about avoiding AI — it is about directing it with the specificity only you have. Rule one: never publish a first draft. AI drafts; you rewrite everything that matters.
And it’s true — most AI content sounds the same. Generic. Polished. Soulless. The kind of writing that says nothing while using many words. I’ve read AI-generated articles that were technically flawless and completely forgettable.
But here’s what the critics miss: the sameness isn’t AI’s fault. It’s the user’s fault. AI sounds generic when you give it generic direction and accept generic output. Authenticity with AI isn’t about avoiding the tool — it’s about directing it with the specificity that only you have.
Here’s my system.
Rule 1: Never Publish a First Draft (From AI or Anyone)
This is the golden rule, and it solves 80% of the authenticity problem.
AI’s first draft is a starting point — raw material, not finished product. It has the structure but not the soul. My process: AI drafts, then I rewrite every paragraph that matters. I keep the skeleton sometimes, but the muscle and skin are always mine.
The test I use: read the final piece aloud and ask, “Does this sound like me talking to a friend?” If it sounds like a textbook, a press release, or a LinkedIn guru — rewrite it. Your voice is the product. AI is the assistant.
Rule 2: Feed It Your Raw Material, Not Just Prompts
Generic input produces generic output. Most people prompt AI with “write an article about X” — and then wonder why it sounds like everyone else’s article about X.
Instead, I feed AI my raw material first:
- My messy notes and half-formed thoughts
- Specific stories from my experience
- My actual opinions (including the unpopular ones)
- Examples from my real work
Then I ask it to shape that — not to generate from scratch. The difference is enormous. AI shaping your raw material preserves your substance. AI generating from nothing produces… nothing, dressed up nicely.
This connects to something I practice deliberately: documenting everything I learn. The more raw material you capture from your real life, the more authentic fuel you have to feed the machine.
Rule 3: Disclose Without Apologizing
I’m open about using AI. Not because anyone forces me to, but because hiding it creates a weird pressure to pretend — and pretense is the opposite of authenticity.
My stance is simple: I use AI as a tool in my workflow, the same way I use a laptop instead of a typewriter. The ideas, stories, opinions, and final judgments are mine. The tool helped with the mechanics. There’s nothing to hide and nothing to apologize for.
What I don’t do: publish AI output as if I wrote every word by hand. That’s not about AI ethics — it’s about honesty with my audience. They trust me because I’m straight with them. That trust is worth more than any efficiency gain.
Rule 4: Keep the Parts Only You Can Write
I’ve drawn a hard line in my workflow, and I recommend you draw yours:
AI never writes:
- My personal stories and experiences
- My opinions on contested topics
- My replies to real people
- Anything where my reputation is the product
AI often helps with:
- Structuring my messy thoughts
- Expanding an outline into a draft
- Repurposing one piece into other formats
- Mechanical editing and proofreading
The line isn’t “AI does X, I do Y” in fixed percentages. The line is: anything that requires my judgment, my experience, or my accountability stays human. Everything else is delegatable.
I go deeper on this division in What I Automate vs What I Never Automate.
Rule 5: Edit for Voice, Not Just Correctness
Most people edit AI output for errors. That’s necessary but insufficient. The real edit is for voice.
My voice-editing checklist:
- Would I actually say this? If a sentence sounds like something I’d never say out loud, rewrite it.
- Where’s the edge? AI smooths everything. I add back the sharp opinions, the specific details, the slightly uncomfortable honesty.
- Is there a human moment? Every piece needs at least one moment that could only come from a person — a doubt, a failure, a weird observation, a laugh.
- Cut the filler. AI loves throat-clearing (“In today’s fast-paced world…”). I cut every sentence that says nothing.
This is labor-intensive. It’s also the entire game. The edit is where authenticity lives.
The Authenticity Test
Here’s my final test before publishing anything AI-assisted:
“If someone who knows me well read this, would they recognize me in it?”
Not “is it accurate” or “is it well-written” — would they recognize me. My friends should hear my voice in my writing. My audience should feel the same person they subscribed to. If the piece could have been written by anyone, it shouldn’t be published under my name.
Why This Matters More Than Ever
As AI content floods every platform, audiences are developing a finely-tuned detector for the generic. They can feel the difference between content shaped by a real person and content extruded by a machine — even if they can’t articulate it.
Authenticity isn’t a nice-to-have anymore. It’s the entire competitive moat. The creators who keep their voice while using AI’s leverage will dominate the ones who either reject AI (too slow) or surrender to it (too generic).
Use the machine. Keep the soul. That’s the whole strategy.
*I’m building my version of success in public — and helping Bangladeshi job holders build theirs. Join the journey in Bangla: @superpreneurbd*
Why this matters more every year: the human edge in an AI world — what AI makes more valuable, not less.
Authenticity also collapses when there is no strategy underneath it: why AI won’t save a bad strategy.
And if you are just starting out with these tools: how beginners should approach AI tools.
Principles need rules to survive contact with real work. Here are mine: the ethics of AI content — my rules for publishing with AI without losing the reader’s trust.
Staying authentic with AI starts with a decision I made early. Here is the reasoning: why I embraced AI early — and you should too.
