  Stellar age measurements are fundamental to understanding a wide range of
astronomical processes, including galactic dynamics, stellar evolution, and
planetary system formation. However, extracting age information from Main
Sequence stars is complicated, with techniques often relying on age proxies in
the absence of direct measurements. The Gaia data releases have enabled
detailed studies of the dynamical properties of stars within the Milky Way,
offering new opportunities to understand the relationship between stellar age
and dynamics. In this study, we leverage high-precision astrometric data from
Gaia DR3 to construct a stellar age prediction model based only on stellar
dynamical properties; namely, the vertical action. We calibrate two distinct,
hierarchical stellar age--vertical action relations, first employing
asteroseismic ages for red giant branch stars, then isochrone ages for
main-sequence turn-off stars. We describe a framework called "zoomies" based on
this calibration, by which we can infer ages for any star given its vertical
action. This tool is open-source and intended for community use. We compare
dynamical age estimates from "zoomies" with ages derived from other techniques
for a sample of open clusters and main-sequence stars with asteroseismic age
measurements. We also compare dynamical age estimates for stellar samples from
the Kepler, K2, and TESS exoplanet transit surveys. While dynamical age
relations are associated with large uncertainty, they are generally
mass-independent and depend on homogeneously measured astrometric data. These
age predictions are uniquely useful for large-scale demographic investigations,
especially in disentangling the relationship between planet occurrence,
metallicity, and age for low-mass stars.
