In the current study, we proposed an operational matrix‐based spectral computational method coupled with the Picard technique and successfully employed to seek the solutions to a family of nonlinear evolution differential equations. However, the operational matrices are constructed assisted by monomials, and relevant theorems are available to authenticate the approach mathematically. The iterative form of residual vector for the problems understudy has been presented to seek some new results of a nonlinear family of evolutionary fractional problems. The coupling of spectral technique with the Picard method can easily tackle the high nonlinearities including quadratic, cubic, exponential, and hyperbolic, while it brings more accurate and efficient results than the published results. A worthy comparative study with exact solutions and existing techniques including numerical and analytical is being made, which shows an excellent level of accuracy for the problems under study. The authenticity of the proposed method is validated via convergence, error‐bound, and norms, while the set of graphs is illustrated for integer and noninteger orders. Hence, this unlocks the opportunities to deal with solutions of the weakly singular integral and lattice Toda equations and other complex nonlinear problems arising in applied sciences and may provide a better observation of physical mechanism.