We present a system for autonomous book ideation that replaces human focus groups with synthetic reader panels -- diverse collections of LLM-instantiated reader personas that evaluate book concepts through structured tournament competitions. Each persona is defined by demographic attributes (age group, gender, income, education, reading level), behavioral patterns (books per year, genre preferences, discovery methods, price sensitivity), and consistency parameters. Panels are composed per imprint to reflect target demographics, with diversity constraints ensuring representation across age, reading level, and genre affinity. Book concepts compete in single-elimination, double-elimination, round-robin, or Swiss-system tournaments, judged against weighted criteria including market appeal, originality, and execution potential. To reject low-quality LLM evaluations, we implement five automated anti-slop checks (repetitive phrasing, generic framing, circular reasoning, score clustering, audience mismatch). We report results from deployment within a multi-imprint publishing operation managing 6 active imprints and 609 titles in distribution. Three case studies -- a 270-evaluator panel for a children's literacy novel, and two 5-person expert panels for a military memoir and a naval strategy monograph -- demonstrate that synthetic panels produce actionable demographic segmentation, identify structural content issues invisible to homogeneous reviewers, and enable tournament filtering that eliminates low-quality concepts while enriching high-quality survivors from 15% to 62% of the evaluated pool.

翻译：我们提出了一种自主图书创意生成系统，该系统用人造读者小组取代了人类焦点小组——这些小组是由LLM实例化的多样化读者角色集合，通过结构化锦标赛竞争来评估图书概念。每个角色由人口统计属性（年龄组、性别、收入、教育程度、阅读水平）、行为模式（每年阅读量、体裁偏好、发现方式、价格敏感度）和一致性参数定义。小组按出版品牌组建以反映目标人群特征，并通过多样性约束确保在年龄、阅读水平和体裁偏好上的代表性。图书概念在单败淘汰、双败淘汰、循环赛或瑞士制锦标赛中竞争，根据加权标准进行评判，包括市场吸引力、原创性和执行潜力。为剔除低质量的LLM评估，我们实施了五项自动防劣质检查（重复措辞、泛化框架、循环论证、分数聚类、受众错配）。我们报告了在一个管理6个活跃出版品牌和609种在售图书的多品牌出版运营中的部署结果。三个案例研究——针对儿童识字小说的270人评估小组，以及针对军事回忆录和海军战略专著的两人专家小组——表明：合成小组能产生可操作的人口细分，识别同质化评审者无法发现的结构性内容问题，并通过锦标赛筛选机制将低质量概念淘汰，同时使高质量幸存者比例从评估池的15%提升至62%。