Six Basic Things You Need to Know About AI

Understanding AI doesn’t require being a programmer. These six ideas give you a solid foundation to understand what modern AI actually does, why it works the way it does, and what you can realistically expect from it.

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1. How AI Actually Works

AI does not think, imagine, or understand the world the way a human does. Instead, it analyzes billions of examples and learns to detect patterns—shapes, colors, styles, materials, language structures, camera angles, and more. When you ask it to generate an image or a result, it isn’t “inventing” something from scratch: it’s combining everything it has learned to produce the most statistically likely output that matches your instructions.

It’s not intuition or creativity. It’s extremely advanced pattern recognition happening at a scale no human could process. This is why AI can create stunning visuals, but also why it sometimes produces unexpected results—it follows patterns, not logic.

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2. What AI Models Are

An AI model is essentially a “trained brain” built for a specific purpose. It learns from millions of examples until it becomes capable of completing a specific task with high accuracy. There isn’t just one type of AI: every model is specialized.

Some models are experts at generating images. Others specialize in text, 3D reconstruction, audio, or video. Some models understand materials very well, while others are better at lighting, motion, or composition.

Importantly, no single model can do everything. This is why the AI ecosystem evolves so quickly—new models appear constantly, each stronger in a different area. The industry moves so fast that a top model today might be replaced by a better one next month.

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3. What Is a Prompt

A prompt is the instruction you give the AI to tell it what you want. It is simply a written description, but it acts like a blueprint for the AI engine. The prompt defines style, materials, mood, lighting, color, background, and even camera angle.

The clearer and more specific your prompt, the better and more reliable the output. A vague prompt gives the AI freedom to guess. A detailed prompt gives it direction.

Good prompts are not about being poetic—they’re about being precise.

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4. Repetitiveness and Consistency: What AI Can and Cannot Guarantee

AI is excellent at repeating styles: it can maintain similar lighting, metals, environments, perspectives, and overall artistic direction. However, AI cannot guarantee identical outputs across generations. Each creation involves a degree of randomness—part of the process that makes AI creative but not perfectly controllable.

This means: • It can produce consistent branding, but rarely identical images. • It can keep the same “feeling,” but not the exact same pixels. • It can refine an idea, but not reproduce it flawlessly every time.

AI is reliable for exploration and variations, not for industrial precision.

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5. Why Full AI Models Run Better in the Cloud

Advanced AI systems are massive—some models exceed hundreds of gigabytes and require multiple high-end GPUs just to run. Most computers, even powerful workstations used in jewelry CAD, simply cannot load or execute these models locally.

On top of that, the strongest AI models today are not downloadable. They are proprietary systems that only exist on private cloud infrastructure. The companies behind them maintain the servers, train the models, optimize the performance, and handle the enormous hardware needed to run them.

This is why services like fal.ai, Nano Banana, Kling, and others exist: they give you access to cutting-edge AI power without needing supercomputers.

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6. Computational Costs

AI seems magical, but behind every image or video is a real computational process happening on expensive, high-performance hardware. Running these models requires clusters of GPUs, large storage systems, and continuous electricity — all of which have a cost.

The more complex the task, the higher the computational cost. For example: • A simple image generation is inexpensive. • A series of variations costs a bit more. • A short video from AI can cost up to 2€ or more in server computation alone.

AI makes your work faster and easier, but it is not free to operate. This is why cloud services charge per generation—and why Loom connects to them transparently, letting you choose where to invest.