Recently, Dan Benyamin’s  post on LinkedIn captured the attention of the AI and e-commerce community:

“We may have cracked the hallucination code...You now can have any model wear or manipulate your product in full detail, with any length video, in any language, for social media or your product page.

Pretty much every AI model messes up product details. Brands change, logos change, text is unreadable, and more. This is especially true for video. Aeon is at the forefront of maintaining product detail in video (see below). This product is real, but nothing else is.”

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This statement reflects a breakthrough and a persistent paradox. As AI becomes essential for video creation and product marketing, brands face a dilemma: they must adopt AI now to stay competitive, even though standalone models still have a margin of error. Enter Aeon, an application-layer solution designed to orchestrate and refine multiple AI models, specifically to reduce these errors and safeguard brand integrity.

The Urgency to Adopt AI-Despite Its Flaws

The global AI market is exploding, growing at over 37% annually, with more than 80% of companies prioritizing AI integration. Yet, only about a third of brands and publishers have fully adopted AI for content workflows. The hesitation is understandable: while AI can automate and scale video production, it is not infallible.

  • Hallucination rates for leading language and vision models have dropped from 40% in 2022 to 29% in 2024, with some specialized models achieving as low as 0.8% hallucination rates.

  • However, even the best standalone models frequently introduce errors-especially in video and imagery-such as extra fingers, warped hands, unreadable text, or inconsistent logos.

Despite these challenges, the benefits are too significant to ignore. Brands using AI for video personalization report up to 45% higher conversion rates, and publishers have seen production costs drop by as much as 70%. The risk of being left behind by competitors leveraging AI is real and growing.

Why Standalone AI Models Struggle

Standalone AI models, no matter how advanced, have inherent limitations:

  • Data Gaps: Hands and text are less common in training datasets, leading to frequent visual errors such as extra fingers or illegible captions.

  • Probabilistic Guessing: When faced with ambiguous or insufficient data, AI models “guess,” resulting in hallucinations or off-brand outputs.

  • Technical Constraints: Smaller models lack the contextual understanding of larger ones, and even the biggest models can’t guarantee perfect results every time.

For publishers and brands, these errors can be costly-damaging credibility, reducing engagement, and requiring time-consuming manual corrections.

The Application Layer Advantage: How Aeon Orchestrates AI for Better Results

This is where Aeon stands apart. Aeon is not just another AI model; it’s an application-layer platform that orchestrates and refines the outputs of multiple underlying AI models to reduce the margin for error. Here’s how Aeon addresses the paradox of imperfect AI:

1. AI Orchestration for Quality Control

Aeon acts as a conductor, activating and coordinating various AI solutions-storyboarding, asset selection, voice synthesis, captioning, and more-ensuring each step is optimized and errors are caught early. By layering these models and applying proprietary refinement tools, Aeon systematically reduces the likelihood of hallucinations and visual artifacts.

2. Automated Brand and Editorial Safeguards

Unlike standalone AI tools, Aeon enables publishers and brands to embed their guidelines directly into the video creation workflow. This means color schemes, logos, fonts, and editorial standards are enforced automatically, minimizing off-brand outputs and factual slip-ups.

3. Rapid, Scalable, and Consistent Video Production

Aeon’s platform is designed for scale-capable of turning articles, product pages, or news stories into hundreds of on-brand videos in minutes, with built-in checks for hand, text, and sync errors. Its latest “Asset Intelligence” feature even analyzes and indexes your existing media library, ensuring the most relevant and high-quality assets are used every time.

4. Human-in-the-Loop Flexibility

While Aeon automates much of the process, it also provides advanced editing tools and Adobe integration, allowing human editors to quickly review, tweak, and finalize videos-striking the perfect balance between automation and creative control

Real-World Impact

Brands using Aeon report:

  • 3x faster video production

  • 22% fewer post-release edits

  • 91% improvement in production efficiency

    These gains are possible because Aeon doesn’t rely on a single AI model. Instead, it orchestrates a suite of best-in-class AI tools, constantly refining outputs and reducing the margin for error that standalone models can’t avoid.

Conclusion: Embrace AI Now- But Choose the Right Platform

The paradox is clear: brands, e-commerce companies, and publishers must adopt AI now to stay competitive, even though AI is not perfect. The solution is not to wait for error-free models, but to leverage application-layer platforms like Aeon that orchestrate, refine, and safeguard AI outputs at scale.

Aeon’s approach-combining automation with editorial control and multi-model orchestration-enables organizations to create high-quality, on-brand video content faster and more reliably than ever before. In a world where video is the key to engagement and growth, Aeon ensures you can scale your content strategy without sacrificing quality or credibility.