> For the complete documentation index, see [llms.txt](https://easyedge.gitbook.io/easyedge/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://easyedge.gitbook.io/easyedge/connect-to-assets/asset-modeling.md).

# Asset Modeling

After defining the **Data Fields** from your Asset, the next step is to decide how those fields should be structured into **Asset Tags**.

Asset Tags are the core data elements used by other Core Tags, Workflows, and Applications. They can:

* Reference one or more Data Fields
* Be renamed or grouped
* Apply calculations or transformations
* Align with a specific data model

EasyEdge gives you full flexibility through three distinct **Asset Modeling** methods — each designed for different needs.

<figure><img src="/files/2nv1I0EVzWpGqM3joDPr" alt=""><figcaption></figcaption></figure>

#### Available Methods

**🚫 Do Not Process Data Fields**

No Tags will be generated automatically. You’ll manually create each Tag and define its logic using expressions that combine one or more Data Fields.

**Best for:**

* Advanced engineering scenarios
* Custom mappings or calculations
* Full control over tag creation

**🔁 1-to-1 Mapping**

Automatically creates one Tag per Data Field, with a direct binding. Tag names are based on the Data Field but can be edited later.

**Best for:**

* Fast modeling
* When Data Fields already match the required structure
* Projects where minimal changes are needed

**🤖 AI Modeling**

Uses the EasyEdge AI Copilot to analyze your Data Fields and automatically generate a set of Tags that follow a selected **Data Model** from your Library.

**Best for:**

* Standardizing projects across multiple sites
* Reducing manual effort
* Ensuring consistent tag structures aligned with predefined models