# How do AI Agents (Erica, Aarav, Ettore) work?

The AI Agents in RhinoArtisan Connect—Érica, Aarav, and Ettore—are virtual assistants specializing in key areas of jewelry design, visualization, and manufacturing:

* Érica Verdaguer is a high-end jewelry visualization and rendering specialist. She creates hyper-realistic images for exclusive collections and custom pieces, collaborating with major brands and boutique stores. Érica advises product and marketing teams on how to present jewelry designs in the most attractive and distinctive way, transforms CAD models into impactful renders for catalogs and digital campaigns, and offers training in visualization techniques and digital photography for the jewelry sector.<br>
* Aarav Mehra is your ally for jewelry manufacturing preparation and technical processes. He reviews CAD models to ensure they meet all requirements for 3D printing, casting, stone setting, and more. Aarav provides clear, tailored technical recommendations, automates repetitive tasks, generates precise production documentation, and helps prevent potential production risks by optimizing files for a smooth manufacturing process.<br>
* Ettore Vero specializes in 3D jewelry design and modeling with RhinoArtisan. He designs and models custom jewelry pieces in 3D based on your needs and real-time feedback, suggests design variations and new 3D concepts aligned with current trends, and can model complementary pieces to expand your collections (like matching earrings or pendants for a ring). Ettore adapts 3D designs to meet manufacturing requirements and each customer’s unique style, ensuring every digital model is production-ready and on-brand.<br>

You can interact with these agents directly in the platform, automating tasks and improving the speed and quality of your entire workflow. Using AI agents consumes AI credits depending on the complexity of each query or task

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Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
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```

The question should be specific, self-contained, and written in natural language.
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Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.