Prompt Studio

Introducing Prompt Studio 2.0

Aug 30, 2024 · 2min

Roksana Patrzałek

Roksana Patrzałek

Lead Designer

Introducing Prompt Studio 2.0

We’re excited to announce the new and improved version of Prompt Studio – AI-first interactive notebooks for self-serve data analysis.

Prompt Studio lets your team move beyond rigid, predefined dashboards and quickly answer complex, ad hoc questions – without writing a single line of code. With Prompt Studio, your team can:

  • Allow everyone to work with data using queries in natural language
  • Gain quick and precise insights instead of relying on static dashboards
  • Perform data exploration rapidly without writing a single line of code
  • Easily generate interactive visualizations and transformed data tables

Here’s what’s new in Prompt Studio:

Data sources: It is now possible to add data sources to Prompt Studio by connecting directly to your database or uploading a data file. This feature allows you to access your data in real-time and quickly turn it into meaningful insights.

Semantic Model: We know that creating a semantic model can be very time consuming. That’s why we’ve developed an AI-supported workflow that minimizes your effort while maximizing the quality of your results. Building a semantic model in Prompt Studio is intuitive and straightforward - all through simple text inputs.

Promptbooks: Create Promptbooks and type your data questions in natural language. Request insights, perform data transformation tasks, or run queries across multiple data sources. Treat it as a workspace where you can experiment, be curious, and play – data analysis can actually be fun!

Process: Review the agent’s thought process and look inside the code that was generated to answer your data questions. All to keep the AI transparent and reliable every step of the way.

Templates: Last but not least, get started quickly with our ready-to-use Promptbook library.

What's next?

We are constantly making Prompt Studio smarter, more reliable and fun - all for accessible data analysis and visualization. Have ideas for what you’d like to see next? Let us know here.