  We introduce an alternative route for obtaining reliable cyclic engines,
based on interacting Brownian particles under time-periodic drivings. General
expressions for the thermodynamic fluxes, such as power and heat, are obtained
using the framework of Stochastic Thermodynamics. Several protocols for
optimizing the engine performance are considered, by looking at system
parameters such as the output forces and their phase-difference. We study both
work-to-work and heat-to-work engines. Our results suggest that carefully
designed interactions between particles can lead to more efficient engines.
