How It Works

1

Upload

Upload your CSV file to Storytell. For detailed instructions on uploading content, see our Uploading Content guide.

2

Processing

Storytell processes the first 1,000 rows of the CSV file

3

Story Tile™ Generation

Each row is converted into a Story Tile™.

4

AI Analysis

Storytell LLM analyzes the Story Tiles™.

5

Insight Extraction

Query your data using SmartChat™.

As you can see in the image above, your uploaded CSV files are easily accessible in the “Stored Assets” section. You can start querying your data immediately after upload.

Generating Story Tiles™

Story Tiles™ are clusters of related concepts from your data. For example, let’s say you have a CSV file with the following information:

NameCompositionDistance from the Sun (AU)Orbital Period (years)Diameter (km)
MercuryRocky0.390.244879
VenusRocky0.720.6212104
EarthRocky1112742
MarsRocky1.521.886779
JupiterGas Giant5.211.86139820
SaturnGas Giant9.5829.46116460
UranusIce Giant19.2284.0150724
NeptuneIce Giant30.05164.7949244
MoonRockyN/A0.0743474
TitanIcyN/A15.945149

Here’s what a Story Tile™ would look like:

“Titan” is a “Icy” celestial body located “N/A” AU from the Sun with an orbital period of “15.94” years.It has a diameter of “5149” kilometers.

This transformation enables our AI to understand relationships and context within your data, making it possible to answer complex queries.

Querying Your Data

With Storytell, you can ask questions about your CSV data and receive clear, insightful answers through SmartChat™:

As demonstrated in the image above, when you ask about Titan’s orbital period, Storytell provides a precise answer based on the processed data.

Verifying Accuracy

Storytell’s responses are based on the data you provide. You can always verify the information by checking the original CSV file:

This screenshot confirms that Storytell’s response matches the data in your original CSV file.

Technical Considerations

  • Processing limited to first 1,000 rows for speed and efficiency
  • Secure, isolated environments for data privacy
  • Scalable architecture for concurrent processing

Future Enhancements

  • Support for larger datasets (beyond 1,000 rows)
  • XLS file conversion support
  • Advanced data type detection and custom Story Tile™ generation

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