AI is not good enough for content

The part that jumps out is "she gave me insights I didn't know, based on her own experience." That's the actual product, not the prose. AI slop reads as slop because it's averaging the internet with zero first-hand experience, so it can only sound like everyone else.

Which means the fix isn't really "hire a writer," it's "get lived experience and a specific opinion into the piece." A good writer does that by interviewing you and pulling out the stuff only you know; the wordsmithing is the easy 20%. If the budget isn't there yet, the bootstrapper version is to record yourself talking through the topic and let AI just transcribe and structure it. The raw material is your experience, you edit for voice, and it stops sounding generated because at the part that matters, it isn't.

The tell is buried in your own post: your writer "also used AI, just not the way I was doing it." That's the whole thing right there.

AI is weak at the last mile — taste, judgment, deciding what's actually worth saying — and decent at the mechanical middle: drafting raw material, structuring, catching repetition, first passes. Asking a model to hand you a finished, publishable blog post is asking it to do the one part it's worst at, so you get exactly what you got: fluent fluff and the occasional hallucination.

The workflow that works is closer to what your writer does — AI drafts and does the grunt work, a human owns the judgment and the final voice. So I'd reframe it: it's not "AI isn't good enough for content," it's "AI isn't an editor." Same reason autocomplete never replaced writers. Hiring someone who treats it as a tool rather than a ghostwriter was probably the actual fix, more than dropping AI.

Yes, AI response still requires review and editing

Yes, that’s correct. The final creative output generated by artificial intelligence still requires human review and editing. It can only help me come up with an idea.

I think you're bang on with this, I have also fallen into this trap, I now use the motto that AI is the average of the internet, so if you're not very good at something the AI version will look amazing, if you happen to be better than average at something, it will not impress you.

As others have already commented the key I think with AI is to get the basics and then enhance the human layer.

Great project! How did you handle

user authentication at scale?

The instinct you followed is right and I think it applies beyond content. AI output quality is directly proportional to the structure you put in before it. The founders who get bad content from AI are mostly the ones who gave it a vague brief and hoped the model would fill in the gaps with judgment. The ones who say "this tool does X for Y person in Z situation, here are three examples of the tone and format I want, here is what it must not say" get output worth editing. The structure has to come from a human who understands the product, the audience, and the standard. The model doesn't have that unless you give it. Your writer is doing something interesting when she uses AI as a draft tool and adds the human layer on top. That's probably the sustainable workflow for anyone who cares about quality. Wholesale generation without structure and oversight produces slop. Structured generation with human judgment in the loop produces something actually useful. The broader question for anyone building AI into their product is whether the AI has been given the constraints and context that define what good looks like, or whether it's just guessing in a very fast and confident way.

You pointed a very important thing to me. Great.

Yes U are absolutely right!

My hope is that all platforms will identify AI written content and at least note that. I would expect this will naturally get less engagement and encourage human writing.

hiring a writer makes sense if you’ve already validated distribution.

before that, I’d still try tightening prompts + adding real user pain points before switching tools entirely.

5-digit MRR is the headline but buried in here is 'figuring out what my ICP is really looking for' - that's the actual work. the grind is that part, not the nights.

Solid take. The part that stuck: even your writer uses AI — just as a drafting tool, not the author. That's the real line.

The tricky version is when you can't afford a writer yet (solo, bootstrapped). Then you have to be the human layer on top of the AI draft — which is harder than it sounds, because it's tempting to ship the draft as-is when you're busy building. What's saved me is only writing about things I've actually lived: real numbers, real failures. AI can structure that, but it can't have done it. The lived part is the moat.

Awesome insight and experience!!

Yes AI is a good tool right now, and like you said has a place within your tool box. This is great to see and im hopeful that the future brings AI into a more useable role.

Thank you

This resonate a lot, i hit the exact same thing but on the code side instead of content.

i use AI every day and it is great at the thinking part, architecture, logic, refactor. but for the last-mile work (for me it is UI tuning) it is bad in the same way your first drafts were. i ask for a small padding change and it rewrite 200 lines, add fluff, and still not right. same as your "too much fluff, sentences with same meaning". the loop is wrong.

and your writer figured out the real answer i think: AI to draft, human for the heavy lifting and the touch. it is not AI vs human, it is AI does the bulk and you do the part it is bad at. the people who win are the ones who find that line fast, for content, code, whatever.

funny enough this is literally what i am building now, a tool for the UI half of exactly this problem (AI writes logic, i tune the UI by hand on a canvas). so reading your post felt very familiar haha.

great hire btw, "some people are built for certain things" is so true.

AI gives you exhaustive, "correct" analysis that covers everything. But people don't want correct — they want a clear, specific answer someone will stand behind. The value isn't the analysis (AI does that fine); it's a human cutting the noise and being accountable for the call.

I had a very similar experience with AI-generated content.

At first it looks fine, but once you read it properly, it usually lacks depth, feels repetitive, and sometimes even introduces incorrect or made-up information. Even with better prompts and sources, it’s hard to make it feel genuinely useful for a specific audience.

What worked better for me was using a hybrid approach — AI only for rough drafting or ideation, and then relying on human editing to add structure, clarity, and real insight. That “human layer” makes a huge difference in readability and trust.

I think the bigger issue isn’t just content generation, it’s maintaining quality and authenticity when you’re trying to scale content production.

Curious how others are solving this balance between speed and quality.

Listen, you have a very cool demo video on your website, how did you make it? is this a macbook?

This is actually a pretty honest take, and a lot of people quietly end up at the same conclusion.

The issue you ran into isn’t that AI can’t write — it’s that “first-draft AI writing” tends to collapse into generic patterns unless someone with strong editorial judgment reshapes it. More sources and better prompts only marginally improve that, because the core limitation is still taste, specificity, and lived experience.

What your writer is doing differently isn’t just “writing instead of AI” — it’s acting as the filtering layer between raw output and something a real audience would trust. AI can speed up ideation and structure, but it still struggles with deciding what to cut, what to emphasize, and what actually feels credible.

That’s also why your hybrid workflow works better: AI for speed and scaffolding, human for narrative control and signal.

So the real takeaway isn’t “don’t use AI for content,” but rather that AI alone rarely produces publish-ready voice content in competitive spaces — it works best as an assistant to someone who already understands what good looks like.