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🚀 Intelligent text suggestions in Dataverse with Prompt Columns – using PV products as an example

  • Autorenbild: kim
    kim
  • vor 2 Tagen
  • 3 Min. Lesezeit

Since August 2025, there's been an exciting new feature for Model-Driven Apps in the Microsoft Power Platform: Prompt Columns . These allow you to automatically generate content based on existing fields in a table—a bit like calculated columns on steroids. All this with the help of generative AI directly in the Dataverse form.

In this article, I will show you step by step how to set up and use a prompt column to automatically generate quote items for PV products .

 

🛠 Initial situation – Our "PV products" table

We use a table called “PV Products” with the following columns:

  • Product name

  • Item number

  • Unit (e.g. piece, system)

  • Manufacturer

  • Power (e.g. 10 kW)

  • Dimensions (e.g. 540 × 315 × 260 mm)


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✨ What are prompt columns?

Prompt columns are a new column type in the Dataverse powered by generative AI. They generate content (e.g., descriptions, summaries, or recommendations) based on the existing fields in the dataset— directly in the table , without additional logic or Power Automate flow.

 

In addition to our use case for the automated creation of quotation items, Prompt Columns can also be used in many other scenarios:

  • 💬 Sentiment analysis of customer inquiries

    Automatically generated assessment of whether a request is formulated positively, neutrally or negatively.

  • 🧾 Support ticket summaries

    A compact summary is generated from subject, description and priority.

  • 📦 Product suggestions for upselling

    Based on category, price and stock availability, suitable alternatives or accessories are suggested.

  • 🧠 Profile descriptions for team members

    An appealing short description is created from the name, role and project history – ideal for project pages.

 

 

💡 Use case: Create automated offer position

The goal is to automatically generate a quotation description for each PV product. The description should be based on the product name, power output, unit of measurement, and manufacturer.

 

Example of the desired output:

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🧩 Step-by-step instructions for creating the Prompt Column

🔹 Step 1: Create a prompt column

  1. Open your solution in the Power Platform Maker portal.

  2. Select the PV Products table.

  3. Click + Column and select the new type Prompt Column (Preview) .

  4. For example, name the column Offer Item (AI-generated).

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🔹 Step 2: Define the prompt

When creating it, you now enter the prompt that will be used for text generation.

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An example would be:

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🔹 Step 3: Integrate Prompt Column into the form


  1. Open the main form of the “Products” table in the Form Designer.

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  2. Add the new prompt column “Offer Position”.

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  3. Publish the form.

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🔹 Step 4: Use in the app

Now, when a record is created or edited, the Prompt Column automatically generates an offer text based on the fields in the record.


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📈 Advantages at a glance

Time-saving : No more manual text creation necessary

Consistent : Uniform formulations across all products

Customizable : Prompt can be customized or expanded at any time

Integrated : Works seamlessly in Model-Driven Apps – no external tools required

 

🚀 Conclusion

The Prompt Column is a powerful new feature that provides immediate value – especially for users

If you're already using model-driven apps, you should definitely try this feature! And remember: You'll get the best results if your prompt is clearly formulated and tailored to your use case.

 

Want to see a live demo of this feature in action? Feel free to contact me or follow me for more deep dives into Power Platform and low-code!

 
 
 
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