RECON measures power spectra and reconstructs time series in active galactic nuclei (AGNs) by modeling their stochastic variability in the frequency domain. The method treats the Fourier transform of AGN variability as a set of complex Gaussian random variables, parameterizes the resulting stochastic process, and transforms it back into the time domain to fit observational data. Model parameters and their uncertainties are estimated within a Bayesian framework.