An AI tool made an ad for a skincare brand — and included a 30-day money-back guarantee the brand never offered. Wrong ingredients. Wrong policies. The automation that was supposed to save time created a compliance nightmare.

Creatify Agent is the first AI creative agent built specifically to prevent this.

TL;DR
Brand Brief Input Facts Locked Script + Casting Scene-level Vision QA Dozens of Finished Ads

So what's actually broken with AI ads?

Here's the thing — AI doesn't lie. It fills in gaps with plausible-sounding content. And when you haven't given it verified brand facts as constraints, it'll confidently invent a guarantee, a feature, or a benefit that doesn't exist.

The failure modes are well-documented. Invented product features that create compliance risks. Value props that don't match why your customers actually buy. Avatars that look slightly different in scene one vs. scene three. Brand colors that drift just enough to feel off. Every one of these sends you back into a generate-review-fix-regenerate loop — the exact opposite of what automation was supposed to be.

The real problem

It's not the AI's output — it's the input structure. Without brand facts locked as constraints, generative AI fills gaps confidently and incorrectly. Creatify's answer: lock the facts before generation starts, not after.

The solution isn't better prompting. It's architectural.

What actually changes?

Creatify Agent embeds three hallucination prevention layers into the production pipeline.

At the start of every session, the agent takes your product URL or brief and locks your brand name, ingredients, specs, pricing, and claims as hard constraints. Everything generated — scripts, visuals, characters — operates within those constraints. Then, as each scene is generated, a dedicated critic model runs QA: text rendering, product fidelity, persona consistency. Failed scenes auto-regenerate before you ever see them. And once a character is cast from 1,500+ avatars, it stays consistent across every scene and every variation.

The result: you only ever review content that already passed internal QA. No fixing hallucinations after the fact.

Standard AI Ad ToolsCreatify Agent
Hallucination preventionPost-generation correctionsPre-generation fact locking + scene QA
Production processMultiple tools, manual stitchingOne conversation, end-to-end
Character consistencyCan vary scene to sceneAuto-locked across all scenes
Cost per adVaries (manual work extra)$5–$8
Production timeHours to days~5 minutes
RevisionsStart overConversational, partial updates
$5–$8
per finished ad (vs. $500+ traditional)
15M+
ads in training data
94%
win rate vs. competing AI ad agents (VideoAdAgent Bench v1)
3M+
marketers on platform

"We didn't build another AI video tool that happens to make ads. We built an agent trained on what makes ads convert."

— Creatify Team

In the independent VideoAdAgent Bench v1 — 20 briefs, 16 systems, ~1,400 pairwise verdicts judged by Claude Opus 4.7 and GPT-5 — Creatify Agent clocked a 94% win rate against competing AI ad agents. The methodology and all verdicts are public.

How to get started

  1. Create an account
    Free plan available — no credit card required. Go to creatify.ai and you'll have access to Creatify Agent immediately.
  2. Write a brief
    Start with a product URL or a one-sentence description. The more specific the brief, the more accurate the output — include real specs, claims, and target audience details.
  3. Review the research output
    The agent will surface brand analysis, competitor insights, hook options, and script drafts. Approve the direction or redirect it here.
  4. Approve the cast
    Review the casting from 1,500+ avatars. Wrong look, age, or energy? Just say so — it recasts.
  5. Review, direct, and receive variations
    Watch the output and give notes conversationally. "Tighten the middle section," "change the CTA to Shop Now." The agent revises and delivers platform-native variations — multiple formats, one conversation.

Keep in mind

Hallucination prevention isn't foolproof. If your brief is vague, errors can still slip through. The more explicit you are about brand facts — ingredient names, certifications, guarantee terms — the better the output quality.