# AI-Powered Context Generation Wizard

### **Step 1: Navigate to the Table Selection Page**

* After connecting your data source, navigate to the **Table Details** step.
* You will see a list of tables with their **completion status**.
* Tables marked **"uncompleted"** require data definitions.

🔹 **Action**: Click on a table (e.g., **"manufacturer"**) to start defining its data.

<figure><img src="/files/rVYHyxz6N97qvemPvslQ" alt=""><figcaption></figcaption></figure>

***

### **Step 2: Open the AI Wizard for Data Definitions**

* After selecting a table, the **AI wizard** will launch.
* The wizard automatically **suggests descriptions** based on table content.
* Click **“Try it now!”** to use AI-generated suggestions.

<figure><img src="/files/GLGfgv1jmN4sPATqqR31" alt=""><figcaption></figcaption></figure>

***

### **Step 3: Review and Edit Table Descriptions**

* The wizard presents an **AI-generated description** of the table.
* **Edit the description** to ensure accuracy and completeness.
* The description should **clearly define** the table's purpose and key attributes.

🔹 **Best Practice**: Include **key details** like relationships with other tables, data types, and business context.<br>

<figure><img src="/files/vBeegwHOufzjEtapkloh" alt=""><figcaption></figcaption></figure>

***

### **Step 4: Define Insights and Chart Expectations**

* The wizard will prompt:\
  \&#xNAN;**“What insights or charts would you like to generate from this table?”**
* Select or describe expected charts, such as:
  * Number of manufacturers per country
  * List of manufacturers by name
  * Count of manufacturers

🔹 **Action**: Choose relevant insights to improve AI-driven visualization recommendations.

<figure><img src="/files/tqKZ1MANNbe3PH1YyTm4" alt=""><figcaption></figcaption></figure>

***

### **Step 5: Column-Level Data Definitions**

* Next, define **each column** in the selected table.
* The wizard provides **suggestions for column descriptions** (e.g., **Country, ManufacturerID, Name**).
* Review and refine AI-generated descriptions to ensure clarity.

🔹 **Example**:

* **Column Name**: `Country`
* **AI-Suggested Description**: "The country where the manufacturer is located. Code: US, MX."
* **Action**: Edit if necessary to include more context.

<figure><img src="/files/AjnOs6Bsw64a4WS12CfD" alt=""><figcaption></figcaption></figure>

***

### **Step 6: Review Summary for Data Definitions**

* The wizard compiles all table and column descriptions into a **summary view**.
* Ensure all required details are correct and meaningful.

🔹 **Action**: Add any missing details before proceeding.

<figure><img src="/files/4h2jmUOkIbDWk5iYZ49Z" alt=""><figcaption></figcaption></figure>

***

### **Step 7: Finalizing Data Definitions**

* After reviewing, the wizard enhances the descriptions using **context gathered throughout the steps**.
* The final descriptions are **more detailed and AI-optimized**.

🔹 **Action**: Click **"Complete"** to save the definitions.

<figure><img src="/files/T5VqKYZTAVQvqCtLQtCZ" alt=""><figcaption></figcaption></figure>

***

### **Step 8: Confirm and Save Definitions**

* Once saved, the platform uses these descriptions for:\
  ✔ **AI-powered chart generation**\
  ✔ **Query automation (SQL generation)**\
  ✔ **Improved Q\&A about data and insights**\
  ✔ **Delta monitoring and debugging**

🔹 **Action**: Proceed to the next step in the data setup process.\ <br>

<figure><img src="/files/4qbKqP9uAcsafxxz28kg" alt=""><figcaption></figcaption></figure>


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