Two of NKTg AI's most important metrics are AMP% and DAMP%.
Instead of reading the entire text to judge its content yourself, you only need to look at these two metrics to know whether the text leans toward action or toward analysis. That helps you choose the right way to read and saves significant time.
NKTg AI's classification threshold is 55%.
When AMP is greater than 55%, the text belongs to the AMP (Amplifying Text) group.
This indicates that semantic energy is concentrated on sentences containing execution, decisions, or concrete outcomes.
These are typically documents such as:
For this type of text, read the Core Content first. Usually a single sentence already tells you:
Then, if you need more detail, continue reading the remaining sentences.
When DAMP is greater than 55%, the text belongs to the DAMP (Damping Text) group.
This indicates most of the semantic energy is concentrated on:
These are typically analytical reports, evaluation records, research reports, advisory materials, risk reports, and policy analysis documents.
Don't expect a single prominent Core Content like in AMP text. Important information is usually distributed across many different sentences. If you need to make a decision, read the analysis sections rather than relying on a single sentence.
When AMP and DAMP are close to each other, the text is classified as STABLE (Stable Text).
This type of text is commonly found in:
Information is fairly evenly distributed across sentences. NKTg AI may conclude that no Core Content is dominant. Readers should view the text as a whole rather than focus on a single sentence.
AMP and DAMP do not reflect the quality of a text — they only reflect the semantic energy structure of the content.
For example:
Therefore, no value is inherently "better." What matters is that the metric fits the purpose of the text.
Before reading the details, look at NKTg AI's analysis result:
With just this 55% threshold, NKTg AI not only helps identify the type of text but also helps readers choose the right approach before diving into the full content.