Is it Fact or Hype? A comment
In my feed, and probably in plenty of others, profiles are promising by the hour that AI will run your Instagram or cut your Reels while you're at the gym. What holds up, what doesn't — and why a concert or event recap still has to be made largely by hand.
My feed is currently full of the format “Is it Fact or Hype?” — somebody tests a new AI skill that sounds too good to be true, then judges after a test whether the promise can really be delivered, or whether it's hot air. I enjoy watching these tests, and there is always an answer in them. It just lands on hype often enough.
I'm a photographer and solo content creator myself, so I know the various steps it takes to get from an idea to a finished product. That's probably why I take this subject a little more personally. What follows is accordingly my own opinion, not a product statement.
Where the hype actually comes from
More interesting to me than the test is the video being tested. Those original videos almost all end the same way: “Comment SKILL and I'll send you the link.”
A simple sum adds up here: comments and forwards by direct message are strong signals for reach, so the keyword delivers exactly what the video needs to get its hype. Meta itself lists posts that explicitly ask for interaction as engagement bait and distributes them less widely, while the automation behind it is permitted. One half is unwanted, the other is an official feature — and both sit in the same move.
What strikes me is that for some, the product behind the promise no longer matters at all. It's about the reach the promise generates, not about whether the solution holds up or whether it actually helps anyone.
That said, this explicitly isn't all one and the same. There are people doing real work: complete guides, their own prompts, tutorials with genuine effort in them. They use the same mechanic, but they also deliver something for it, and I don't want to discredit them. What bothers me is the other half — the ones who promise blindly and send you a skill if you comment the right word and follow.
And there's a side effect I find almost worse: there is no discussion under videos like that any more. The comment section consists of one single word, a hundred times over. An honest reaction, a critical question, a “this didn't work for me” — all of it disappears, because nobody is commenting to say something, they're commenting only to get the link to the next holy grail. The judgement that would normally form under a promise simply doesn't happen. And not all that glitters is gold.
So, two promises I've run into most often these past weeks.
“Claude now runs your Instagram”
First the facts: neither Anthropic nor Meta offers its own Instagram connection for ordinary posts. What exists are services that hold their own Instagram connection and hand it on to the AI as a toolbox. The best-known technical provider now markets that as a ready-made plugin for Claude, with access to publishing, statistics, comments and messages.
Considerably more aggressive right now is ootto.ai. It says the service does 95 per cent of the work and that you spend “10 minutes every day just approving”; plans run from 5 dollars a week to 499 dollars a month, including automatically generated Reels, voice cloning, competitor research, and automated replies to comments with a link by direct message. On top of that there are 30 free Claude skills, among them one for competitor analysis and a “Comment Responder” — which is exactly the mechanic from the section above, this time as a product.
Let's be fair where fairness is due: by its own account, signing in happens via Instagram's own login page, and they never see your password. What I can't find on the site is a company, a registered address or a person to contact — and I can't find an explanation of how the data about other people's profiles is actually collected either. I don't want to accuse anyone of anything. It just strikes me that the provider behind a solution like this is often neither clearly identifiable nor openly named.
At 5 dollars a week and a promise of that size, I'd want to know who I'm dealing with. Anyone handing their channels — and with them a piece of their business — over to a service should at least have checked, roughly, whether there is something solid behind it.
We offer essentially the same thing …
… maebe has an AI connector (MCP) that links Claude or ChatGPT to your maebe team so you can work on your channels from there. What matters is the chain: you connect the AI to maebe, not to Instagram. Claude has no direct access to your platforms; maebe is connected to them through your Social Connect package. A direct exchange between Claude and Instagram isn't possible this way at all — it always runs through our platform, which governs permissions, enforces limits, and only thereby makes certain features possible in the first place.
Full transparency includes the layer below that: we deliberately don't hold the connection to the platforms ourselves. To move faster on the product, keep security high and concentrate on our own core, we use a unified social media API from Postproxy, based in Berlin. That is exactly the piece of service sitting inside the Social Connect package: maebe itself is our own build — what's bought in is only the route by which Instagram, TikTok and the rest are connected. And it matters to me that this part of the chain sits inside the EU.
So the route itself isn't the problem, and I wouldn't fault anyone for taking it. The difference lies in what gets promised and how it is carried out. A lot of what currently presents itself as an all-in-one solution leaves exactly that open. You're apparently meant to simply trust it — all of it just one engagement-bait message away.
Where it gets serious for your account
That question isn't a formality. Instagram's Terms of Use prohibit collecting information in an automated way without express permission, and explicitly so even when it happens from a logged-in account. Meta keeps its own help page on why accounts get restricted for data scraping.
So anyone running a skill that will “just quickly analyse the competition” may be doing it with the account that carries years of reach — and, in case of doubt, with a client's account.
We see ourselves as a serious partner, and transparency matters more to me than a bigger promise. For every feature we look for the route the platform actually intends — and where there isn't one, we leave the feature out. That's why we don't analyse other people's profiles through our customers' accounts. The data for the competitor comparison comes via a separate provider based in the EU that has nothing to do with the connected accounts. And only what is public anyway gets collected: private profiles we can't evaluate, and we wouldn't either. What isn't officially possible, we don't promise; the concrete limits of automatic publishing are written down rather than glossed over.
If you work in a team, a few more questions come with this one — permissions, traceability, who is responsible in case of doubt. We've collected those in an article of their own.
“Let AI cut your Reel”
This can work, up to a point. What you shouldn't conclude from it is that an editor has been replaced and that you now have someone who handles the cut. Challenges remain that AI doesn't solve either — and the higher your own standards, the sooner you notice.
Let's start with what works well. Transcribing, adding subtitles, taking out pauses and stumbles, breaking a long recording into suggestions, roughly pre-sorting material. Those are tasks with a measurable right and wrong — light and dark, sharp and soft — and AI has become reliable at them. A Reel from the studio, with one person talking to camera, or a podcast excerpt gets surprisingly far on that: the edit follows the speech, and the speech is the structure.
At the limit sooner than expected
As things stand, a recap of a concert or an event is not something AI cuts cleanly for me — not because the technology is too slow, but because nearly every decision in it is a visual judgement.
The difference from a studio Reel is fundamental. There, speech is the structure, and speech can be transcribed. At a concert there is barely anything to transcribe. What there is, is music, and that would be the next obvious structure — except that cutting on the beat isn't automatically the answer. Finding the beat is the easy part; AI does that reliably. But the beat isn't the answer to the question of where to cut. Before a drop you often want fewer cuts, not more, because the stillness beforehand is what creates the effect.
It starts earlier anyway, with the selection. Out of four similar takes one is the right one, because something emotional happens in it — a look, a reaction, a moment missing from the other three. That is exactly where AI fails. Lemonlight wrote an interesting article that describes the spot well: material gets judged by duration, brightness and audio levels — and that isn't what carries a scene.
Then the dramaturgy, and that is written nowhere in the footage. Which take carries it depends on how and which takes are chosen and strung together. The same twenty clips make two completely different videos.
And finally the small decisions this kind of video actually consists of. Is the pyro moment a transition or a beat of its own? Do I go into slow motion here because I want to see the faces, or does that kill the pulse? Is this speed ramp a transition, or just a movement the music happens to be carrying?
So I don't overstate it: with deliberate planning and a precise brief, more is possible than you'd think. If I know in advance that I need a speed ramp at a certain point, and shoot the material accordingly, that can be described. It's just that at an event recap you usually don't work that way — you work with whatever you could gather in two hours. And even with a plan, AI delivers only part of it.
There's something else that never shows up in the promises: the reworking, when it doesn't match what you had in mind after all. Once AI has started working, I'm no longer inside the project myself. I first have to find my way back in — into decisions I didn't make — before I can even judge what needs correcting. Taking over someone else's project: we all know that one, don't we? Rarely much fun.
The studio Reel isn't a single prompt either
Even where it works well, the picture from those videos isn't quite right. “One prompt and done” is, in practice, a series of rounds: ask for the edit, correct the edit, describe the motion design, find it looks different from what you pictured, sharpen it, one more round. That costs time and — mentioned less often — concentration. You don't end up with a free day, you end up in a loop. Unless you have no standards for the result.
Colour grading: the problem isn't the technology
Here's the example that makes clearest to me what this is really about. There are tools now that take over a grade entirely, and technically they are impressive. Still, it breaks somewhere, usually on consistency: two takes from the same situation come back looking different, because the AI reads them differently.
What you do next, though, isn't “correcting the AI”. You are judging a third party's grade. And that is the same problem you have with people. Anyone who has handed an edit to a freelancer, an employee or a team knows the moment: it isn't wrong, it just isn't how you would have done it. Expecting AI to hit that is, as things stand, the widest gap between promise and result — not processing power.
How we handle it ourselves
Since we work at exactly this point, our position belongs here. In maebe, AI helps with phrasing and with structure: captions in your brand's voice, suggestions drawn from your own rated images, roughly planning a campaign. It invents no content, it decides nothing, and it publishes nothing. At the end there is always someone who agrees — and with client work, an approval anyway. What maebe can do beyond that is in the feature overview.
That isn't caution on principle, it's the conclusion from everything above: the parts that can be measured, you can hand over. The parts you have to judge, you can't.
Fact or hype
Hype is the promise in its full form: that a skill takes over the job and the day comes free. No product delivers that today, and the videos showing it almost always show the easiest case.
Fact are the parts. AI is a genuine support when it comes to being more productive — for me, every day, and the pace of development is remarkable. Real tools keep arriving that are genuinely good.
It's just worth asking the same question of every new promise: which part of this is measurable, and which part is taste? The measurable part is usually there. The other one is still waiting.
This article was written with the help of AI. Research, claims and point of view were reviewed and are owned by Kristof.
