TacForcing introduces a streaming action generation framework that integrates execution-time tactile feedback for contact-rich manipulation tasks. Unlike chunk-based vision-language-action models that rely on stale pre-execution observations, TacForcing dynamically adapts to evolving contact states during policy execution. This approach eliminates the need for separate high-frequency tactile controllers, reducing both architectural and training complexity.