The gap between the work and the words
工作与文字之间的鸿沟 · Why an auto shop loses money to a structural gap nobody notices, and what closing it actually requires.
Trigg
Voice, AI, and the thinking in between.
关于人工智能、语音，以及认真做一件事。
Hunan · Beijing · Shenzhen · 📍Los Angeles · San Francisco →
From selling hardware to selling utility: the pivot when a device becomes an invisible interface for a specific trade.
从售卖硬件到售卖效用：当设备变为特定行业的隐形接口时的战略转型。
Shifting the incentive architecture from volume-based throughput to value-based activation reveals the tension between short-term revenue pressure and long-term strategic sustainability.
将激励架构从追求数量转向追求价值，揭示了短期营收压力与长期战略可持续性之间的张力。
Reframing data collection as an act of trust rather than extraction to unlock genuine user engagement.
将数据收集重新定义为建立信任而非索取，从而释放真实的用户参与度。
The discipline of saying
在特定场景约束面前，对‘聪明’但错位的解决方案说‘不’的定力。
In an AI-driven era, the most valuable hardware is often the one that disappears, reducing friction rather than adding screens.
在 AI 驱动的时代，最有价值的硬件往往是那些“消失”的设备，它们减少摩擦而非增加屏幕。
The shift from tracking technical consumption to measuring strategic value is the only way to prevent AI from becoming a black hole of costs.
从追踪技术消耗转向衡量战略价值，是防止 AI 成为成本黑洞的唯一途径。
The tension between the founder
创始人渴望交付稳定产品的愿景与团队缺乏执行纪律的现实之间的张力，促使他决定引入专职的“交付经理”角色，以建立强制性的运营秩序。
The tension between the desire to own the entire hardware stack for control and the strategic necessity of ceding value to distributors to achieve scale.
在渴望掌控硬件全栈以确立护城河，与必须向渠道让渡利益以换取规模扩张之间的战略拉锯。
The friction between the relentless, automated noise of the world and the deliberate, human slowness required to build something that actually listens.
在喧嚣的自动化洪流中，构建真正“倾听”之物所需的缓慢与刻意，同世界加速运转的惯性之间，存在着一种深刻的张力。
In the age of AI, the highest skill is knowing what not to do.
Everyone is adding features. The real edge belongs to those with the discipline to remove them.
Killing a three-month project was my best decision this year.
The team exploded. We had put in so much time. Why stop now? Because sometimes, subtraction takes more courage than addition.
When deployment becomes breathing, you finally have time for what matters.
Every release used to feel like a small battle. Now: write, save, ship. The time saved is the real edge.
The last mile of automation is not technology. It is people.
We built a machine that writes, illustrates, and publishes by itself. Then it failed — at the simplest possible step.
Hello, World
A quiet opening: why I am writing this, and for whom.
The greatest risk of our era is living the way we always have.
At a conference I saw one slide that summed up the AI age: token usage is the new productivity metric.