Reviewers split sharply on Creatify. Supporters say it makes ad videos fast and easy to produce, with an intuitive workflow, auto-generated scripts, captions, voiceover, and a wide avatar selection; small teams especially praise the time savings and helpful support. Repeated requests include clearer credit-use warnings, more editing control, better voice realism and lip-sync, and stronger consistency across ad variations. The strongest criticism is not features but billing: several users describe auto-renewal, no-refund disputes, and poor value when output quality or platform acceptance fell short.
Congrats on the launch! If someone's managing ad accounts for multiple clients, does the agent keep learnings and account history separate per client, or is it more built for a single in-house account right now?
Creatify
@irahimiam Thanks Arash! Learnings stay separate per connected account each client's history, patterns, and context are scoped to that account, so recommendations for Client A never leak from Client B's data. The multi client agency setup is exactly a use case we built toward. Would love to hear how many accounts you're juggling if you test it.
Congrats on the launch.This hits a very real pain point. The jump from “reporting what happened” to actually finding wasted spend and taking action is where most ad tools fall short. Curious how much control buyers keep before changes go live, especially around launching new creatives or shifting budget.
Creatify
@vahid_davoudi It's a copilot experience. The agent will ask for your approval before making budget related actions to your ad account.
minimalist phone: reduce your screentime
As I understood from this page, your tool can create an AI creative ad (people, objects, etc.).
I like that it is a "full" service, but aren't people complaining about "too much AI" in the ads?
We are trying to use it less in creatives and also in our onboarding process because our possible minimalist phone users wrote us messages that they changed their mind to purchase the app just because we used AI visuals. They would rather skip the purchase.
Creatify
@busmark_w_nika Totally fair for an audience buying a minimalist phone, AI polished visuals backfiring makes complete sense. One thing worth separating though: a lot of the "too much AI" reaction comes down to which tools and what workflow. The overexposed, over clean, plastic look is what cheap single shot generators produce.
Our pipeline picks models per scene, paces each clip to the script, and can keep the output deliberately raw UGC style, imperfect on purpose, which is exactly what doesn't trip people's AI radar. And a lot of the value never shows in the creative anyway: scripts, hook testing, spend decisions. Curious was the pushback about AI people specifically, or even AI product shots?
minimalist phone: reduce your screentime
@gourav_chhabra2 It was about AI-generated people in the videos – they didn't like the AI concept behind "calm app"
Sounds like a great launch - congratulations. What data validation do you require - is it simply a case of plugging into the Meta/Google/Tik Tok events that we are already sending? Or do you require custom API calls back to your platform to provide insight into user interaction?
Creatify
@martin_tanner Thanks Martin! No custom instrumentation needed, you connect your ad accounts and the agent reads the campaign and event data you're already sending to Meta/Google/TikTok. Nothing to re-plumb on your side. The revenue side works the same way: connect Stripe/CRM and it cross references against that, rather than requiring API calls back to us. Setup is the 2 minute OAuth flow, not an integration project.
"spots what's scaling, and acts on it" is the part I'd want a kill switch for. does it auto-shift budget between campaigns on its own, or does it draft the move and wait for you to approve before touching spend?
Creatify
@sabber_ahamed it drafts the move and waits. Nothing touches spend, budgets, or campaign status without your approval; the agent preps the action with its reasoning and you sign off. So the kill switch you're describing is effectively the default state: it can't act on spend unilaterally. The "acts on it" part is that it does the full prep analysis, recommendation, ready to execute change. instead of just alerting you and leaving the work.
@gourav_chhabra2 good, approval-by-default is the right call for anything touching real budget. once someone's approved the same type of move ten times in a row, is there any path to a trusted auto-approve, or is every single recommendation a fresh sign-off forever?
An agent that actually runs the buying, not just drafts the creative, is where this gets interesting. The hard part is rarely generating variants, it is killing a losing ad fast enough for it to matter. I wonder how much control it hands back on budget guardrails before it starts spending, because that is usually the line between a helper and something people are scared to turn on.
Creatify
@liana_preston "Killing a losing ad fast enough for it to matter" that's exactly the job. The detection runs without you: continuous performance reads, verified against actual revenue, so losers get flagged same-day instead of at your Monday report pull. On guardrails approval first on everything. The agent preps the kill or budget shift with its reasoning, you approve, it executes. The scary autonomous version isn't the starting point; the speed win is that detection and prep happen without you, the decision stays yours.
The "staring at dashboards for hours trying to figure out what worked" ritual is painfully real. The part I'd need to trust before handing over spend: when it recommends cutting or scaling, does it surface the reasoning, or is it more "trust me"? For media buyers the fear isn't automation — it's an agent quietly killing a campaign that was about to turn. How much of the "why" does it show?
Creatify
@david_marko The reasoning is the whole product, honestly every recommendation shows the "why": what it read, what it found, what it suggests. Nothing gets killed quietly; you approve every cut. And the flip side: the founder note story is the agent catching a campaign a human had wrongly paused it was producing the highest value buyers. The reasoning layer cuts both ways.