Energy correlators have recently come to the forefront of jet substructure studies, thanks to their ability to disentangle physics across multiple scales, and their direct connection to quantum field theory. For example, they were central in the most precise extraction of the strong coupling constant from jet substructure to date. I will start by introducing energy correlators and highlight several key applications. I will then focus on the 2-point correlator on charged particle tracks, which offer superior angular resolution, presenting a high-precision theoretical prediction and comparing it to a reanalysis of LEP data. Subsequently, I will discuss higher-point energy correlators. By analytically continuing the number of correlator points N, I will show how the limit N -> 0 provides a new window into small-x physics, and show first results in this direction using CMS Open Data. A key advance is a new parametrization of higher-point correlators, which dramatically reduces computational costs and makes their application to experimental datasets feasible. This new parametrization also offers intuitive visualizations of energy flow, revealing clear qualitative differences between jet samples.