> For the complete documentation index, see [llms.txt](https://docs.rekor.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rekor.ai/rekor-one-r/readme/continuous-improvement.md).

# Continuous improvement

The Rekor One® Intelligence Engine operates on a powerful flywheel effect, propelling a cycle of continuous improvement that transforms data into knowledge for customers. This dynamic process involves the conversion of raw data into valuable insights, enriching the capabilities of the Intelligence Engine with each iteration.

As customers leverage the knowledge gained from the system, this valuable feedback is seamlessly fed back into the system. This loop of constant refinement is further enhanced by the integration of machine learning, ensuring that the Rekor One Intelligence Engine evolves and adapts, offering increasingly sophisticated and effective solutions over time across all of our major markets—Urban Mobility, Public Safety, and Transportation Management.

This flywheel effect is at the core of Rekor's commitment to providing cutting-edge roadway intelligence and underscores our dedication to staying at the forefront of technological advancements.

![Rekor One flywheel showing how data is continuously turned into knowledge and improves with every cycle](/files/c481fd56cce4ff599415b2a8be115a12c2d39ce9)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.rekor.ai/rekor-one-r/readme/continuous-improvement.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.