Our work was inspired by several recent directions in computational humor and evaluation, including:- Baranov, Kniazhevsky, and Braslavski, "You Told Me That Joke Twice: A Systematic Investigation of Transferability and Robustness of Humor Detection Models" (2023).- Tikhonov and Shtykovskiy, "Humor Mechanics: Advancing Humor Generation with Multistep Reasoning" (2024).- Zhong, Huang, Gao, Wen, Lin, Zitnik, and Zhou, "Let’s Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation" (2023).At a high level, we designed a policy-driven humor generation approach covering multiple humor types. We used optimal humor recognition systems and a context enrichment strategy, as well as SFT training based on a dataset composed from previous research samples and adjusted for alignment with our humor policies. This allowed us to perform an ablation study of the approach and to calibrate our system.