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Hot take: Most AI content tools are useless for creators.

Most AI image/video tools are terrible for creators who actually want to grow on social media.

Not because the models are bad, they’re insanely powerful.

But because they dump all the work on you.

You open the tool and suddenly you have to:

  • come up with the idea

  • write the prompt

  • pick the style

  • iterate 10 times

  • figure out if it will even work on social

By the time you’re done… the trend you wanted to ride is already dead.

The real problem: Most AI tools are model-first, not creator-first. They give you the engine but expect you to build the car.

What we’re trying instead: A tool called Glam AI that flips the workflow: https://www.producthunt.com/posts/glam-ai

Instead of starting with prompts, you start with trends that are already working.

  • 2000+ ready-to-use trend templates

  • updated daily based on social trends

  • upload a person or product photo

  • generate images/videos in minutes

No prompts. No complex setup.

Basically: pick a trend → add your photo → generate content.

I’m curious what people here think though. Is prompt-based creation actually overrated for social media creators? Or do you prefer full control with prompts instead of trend-based templates?

on March 16, 2026
  1. 1

    Agree with this. Most AI tools just dump out generic content that sounds like every other AI-generated post. The ones that actually work are the ones solving a very specific problem rather than trying to be a "do everything" platform. Specificity > features every time.

  2. 1

    Its a tool at the end of the day. You need to know the correct prompts to manipulate it to provide the correct answers. It will take time, but its definitely a learning curve until you get it right.

  3. 1

    They give you the engine but expect you to build the car" — that framing nails the core problem. Most AI tools hand you maximum flexibility and call it a feature. But flexibility without direction is just a blank page with extra steps.
    The prompt vs template debate maps to something we think about a lot: the gap between power users and everyone else. Prompts reward people who already know what they want. Templates reward people who know what outcome they need but don't want to figure out the path. For social media creators specifically, the constraint isn't creativity — it's speed. A trend lives for 48 hours. If your tool requires 45 minutes of prompt iteration to get one usable output, the tool is technically capable and practically useless.
    That said, there's a middle ground worth considering. Pure templates risk becoming a commodity — if everyone uses the same trending template, the feed looks identical. Pure prompts are too slow for most creators. The interesting space might be templates as starting points with lightweight customization that doesn't feel like prompting. The creator gets speed from the template and differentiation from the tweaks, without ever writing a prompt.
    The parallel we see in our own space: when we built our tool, early versions asked users too many questions upfront. Fewer inputs, smarter defaults, better results. The best UX decision we made was removing options, not adding them.
    To answer your question directly: for social media creators, prompt-based is overrated. Not because prompts are bad, but because the speed-to-output ratio kills the use case. The creator who publishes three good-enough posts today beats the one who publishes one perfect post tomorrow.

  4. 1

    Strong take, Rohan, and I mostly agree — the "model-first" critique hits the nail on the head.
    The vast majority of AI content tools today are basically fancy prompt playgrounds dressed up as products. They hand you Midjourney-level raw power but force creators to do 80% of the real creative labor: ideation, trend timing, style consistency, platform fit, and endless iteration. By the time you've wrestled a decent output, the viral window is closed and your feed looks like everyone else's generic AI slop. It's not that the models suck; it's that the workflow is creator-hostile. You described it perfectly: they give you the engine and make you build the entire car from scratch while the race is already halfway done.
    That said, I think the "useless" label is a touch too absolute. For certain niches — long-form blog writers, niche newsletter authors, or creators who treat content as evergreen assets rather than trend-chasing dopamine hits — prompt-based tools still deliver massive leverage. You can 3x output on research-heavy pieces or first drafts, then heavily edit to add your voice. The death of trends doesn't matter as much there. But for social media growth hackers (TikTok, IG Reels, X threads, YouTube Shorts), yeah, prompt engineering is a massive time sink and often counterproductive. Speed-to-post and "trend resonance" beat perfection every single time.
    Your Glam AI approach sounds like a smart pivot in exactly the right direction: reverse the stack. Start with proven, currently-working formats (the "what's already converting" data layer), then let AI handle the execution on top of the user's face/brand. That's creator-first thinking — reducing decisions instead of multiplying them. The 2000+ daily-updated templates claim is bold; if the quality holds and the trends are actually fresh + high-signal, this could become a real workflow accelerator for non-technical creators who just want to ship consistently without dying in prompt hell.
    One question / potential pushback: how do you avoid the "AI content fatigue" backlash? Audiences are getting savvier at spotting templated vibes, and some niches (personal brand, storytelling, authenticity-heavy) punish anything that feels too cookie-cutter. Does Glam have guardrails or variation layers to keep outputs feeling human-ish, or is the bet that speed + consistency outweighs the occasional "this looks AI" comment?
    Curious to hear more about early traction — are the users mostly solopreneurs/SaaS founders trying to feed the content beast for their own products, or actual full-time social creators? Either way, flipping from blank-canvas to trend-canvas feels like the next logical evolution post-ChatGPT hype. Prompt purists might hate it, but growth-minded creators will probably love it.
    Thanks for the hot take — made me rethink my own stack. 🚀

  5. 1

    Fair point - most AI tools are model-first. The creator problem I keep hearing though isn't making content, it's retention. You can generate 100 posts but if your cohort students drop off by week 3, the content didn't matter. Different layer of the same "tool dumps work on you" problem.

  6. 1

    People are so allergic to AI content as well. I think we appreciate human-made things. Like chess, no one wants to watch stockfish vs stockfish but we'll watch high-level humans do it because they're human, we can relate. Even if AI is better.

  7. 1

    I actually agree with this a lot — especially the part about tools being model-first instead of creator-first.

    I ran into a similar issue, but more on the publishing side. Even after you create the content, you still have to upload it to multiple platforms, format it, schedule it, and repeat everything manually.

    That’s where I think a lot of time is still being lost right now.

    I ended up building something called VidShare to solve that part — basically upload once and distribute across platforms without the manual work.

    Feels like the real opportunity is connecting what you’re doing (trend-based creation) with seamless distribution.

    Curious how you see this evolving — do you think creation tools + distribution tools will merge into one workflow?

  8. 1

    The gap is not capability, it is context. Creators need fewer decisions, not more power. Starting from what works beats staring at a blank prompt every time.

  9. 1

    Totally agree. The real problem is that most AI tools optimize for "wow" demos instead of actual workflow fit. The ones that stick are the ones that remove a step you already do — not add a new one. The trend-template approach you describe is interesting precisely because it starts from what's already working, not from what the model can generate. That's a fundamentally different philosophy and probably why it feels less exhausting to use.

  10. 1

    Totally agree with the blank canvas problem. We found this same issue with creators who have WordPress sites — they want to improve their actual website, not just make more content.

    Most AI tools give you another thing to manage, but what creators really need is something that works with what they already have. That's why we built Kintsu.ai to work with existing WordPress sites through natural language chat. You tell it what you want ("make the homepage more engaging" or "add a pricing section"), and it handles the technical execution.

    No prompts, no complex setup, just vibe coding with your existing site. We found creators care more about results than learning another tool.

  11. 1

    The "blank canvas" problem is massively underrated. Giving someone a powerful model without context is like handing a chef a Michelin-star kitchen but no menu, no customers, and no idea what city they're in.

  12. 1

    I really resonate with the idea of starting from trends instead of from the model. Focusing on ‘what’s already working on social’ first, then letting AI handle the execution, feels like a much better fit for creators who care about growth more than prompts.

  13. 1

    Wow, you are bold enough to fight with biggest AI tools. Cool!

  14. 1

    Congrats on the launch! 🎉

    The “no prompt” angle is refreshing. Feels like you're abstracting away the hardest part of AI tools.

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