一篇发表在Hacker News上的文章通过比喻阐述了Agent AI的两种核心工作模式1。温室模式适用于目标不明确的探索性工作，此时AI生成多个可能的结果方案，由使用者事后评估选择1；透镜模式则适用于目标明确的任务，AI集中所有努力直指既定目标1。两种模式都构成了合法的生产力工具，区别在于应用场景的不同1。
文章强调，真正的高级技能在于识别何时采用哪种模式，以及在两种模式之间灵活切换的能力1。领域专业知识在两种模式中均发挥关键作用：在温室模式中用于筛选值得保留的方案，在透镜模式中用于识别偏离既定目标的输出1。
A framework has been presented distinguishing two fundamental approaches to how agentic AI systems operate in productive contexts 1. The "greenhouse" mode applies to exploratory work where the desired outcome remains undefined; in this mode, AI generates multiple potential results that are subsequently evaluated and filtered for merit 1. Conversely, the "lens" mode targets work with clearly established objectives, channeling all effort toward achieving a predefined goal 1.
The framework emphasizes that both modes serve as legitimate productivity tools, with the critical skill lying in recognizing which mode suits a given task and transitioning fluidly between them 1. Domain expertise—functioning as an "oracle"—plays a pivotal role in both approaches: it serves to identify and retain promising options in greenhouse mode, while in lens mode it helps detect when outputs deviate from the intended target 1.
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