TIGA introduces a novel, training-free framework for generating detector-evasive images against black-box AI-generated content (AIGC) detectors. It directly steers the latent Denoising Diffusion Implicit Model (DDIM) trajectory during generation, avoiding post-hoc perturbations or model retraining, while maintaining high perceptual quality and robustness.