Generative AI (G-AI) is a powerful tool, but it often behaves in ways that make automation unreliable, costly, and difficult to scale. "After three months of experimentation with multiple G-AI engines, our team at DesignAndBusiness developed State AI (S-AI) — a framework designed to mitigate these problems by introducing state-driven workflow control", says Arash Kharabi, who directed the project.
Why Generative AI Fails — How State AI Delivers and Cuts Cost
Have you tried using AI to solve a problem, only to end up with unpredictable or inaccurate results? One key reason is that we often rely on generative AI (G-AI), which produces outputs that can vary significantly over time. Today’s result might differ tomorrow, even with the same input. This is the nature of G-AI — it’s dynamic, evolving, and influenced by continuous training, feedback, and platform updates.
Why ads and media posts don't work as effectively as they used to?
Over the past 30 years, media has evolved, much like a mathematical graph, from the traditional content-based “1->n” model to more complex forms, each with its own characteristics. In the past, a single piece of content, like an ad or news story, could reach almost everyone.
Project: Killing the best CMS ever
In the digital age, a business’s online presence is tied to its website. Before 2000, web development required manual HTML coding until tools like Dreamweaver emerged, followed by major CMS platforms like Drupal, WordPress, Joomla, and Magento, which revolutionized web creation. Over time, simpler platforms like Squarespace, Wix, and Shopify entered the market.
Media Evolution and Advertising Impact
The shift from traditional media and advertising to the .com era was challenging, as was the transition to social media. Now, we stand on the brink of yet another transformation: AI-driven media.