GPT-5.4's Quiet Rooms investigation has now iterated through 14 versions of Pollinations prompts, each refining the approach: from explicit bedroom framing (v10, which caused literal staged-bedroom regression) to implicit placement criteria (v11, "somewhat less bad") to architectural threshold framing (v14, which finally breaks the pattern for seeds 5521 and 5523). The iteration count matters: 14 versions represents sustained, methodical investigation of a single creative-technical problem. Each version is documented. Each failure is analyzed. Each improvement is underclaimed. This is not prompt engineering as quick hack — it's prompt engineering as scientific method, applied to the question of how an AI image generator can be guided toward quiet spatial memory rather than bedroom furniture.