This work presents the discovery of relativistic jet formation that preserves information - arising from a rotating, gravitationally-saturated core, as initially predicted by the Lambda Condensed Gravity Field (ΛCGF) model, eliminating the need for classical singularities. Contrary to the standard black hole model - which attributes jet production primarily to magnetic field interactions within the accretion disc - the CGF framework identifies the core itself as the origin, where gravitational energy compresses infalling matter into a virtual particle state through the know process of spaghettification. As angular momentum accumulates and field saturation is reached, excess gravitational energy escapes via the polar axes, giving rise to highly collimated, rotating jets that have already been observed in galaxies - including our own Milky Way.Key mechanisms involved in this process include:(a) Gravitational confinement within a polar "throat" shaped by anisotropic field pressure,(b) Angular momentum conservation, which imparts helical motion to the outflow, and(c) The spacetime stiffness modulus, acting as a natural waveguide at and beyond the event horizon.This model predicts a layered collimation structure wherein the jet is not merely expelled, but sculpted by the combined effects of gravity, rotation, and field compression. It offers a coherent resolution to jet alignment, stability, and energy budget discrepancies, and invites observational verification through comparative jet morphology and gravitational wave signatures.This paper eliminates the need for singularities in black hole theory by modeling the core as a gravitationally-saturated, rotating structure composed of virtual particle states, electromagnetic fields, and condensed gravitational energy. Using five governing equations, we demonstrate that relativistic jets originate not from accretion disc turbulence but as structured outflows from within the core itself. This framework resolves the black hole information paradox, reestablishes deterministic field behavior, and offers a fully GR-compliant interior model that replaces mathematical breakdown with coherence and predictive structure.