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Yao Xiao on Muck Rack

Yao Xiao

New York
As seen in: AIChE Journal, Color Research & Application, Nature, Wiley Online Library, Los Angeles Times, New Phytologist, PLOS, PLOS ONE, BMJ Open, Frontiers and
Author-illustrator based in NYC. Everything Is Beautiful, And I’m Not Afraid (2020) by @andrewsmcmeel. Represented by @msmariavicente
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Articles

5 Emotion Triggers of Viral Titles: Engineer CTR With AI

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By Yao Xiao
| DEV Community
You spent the afternoon writing that piece. Every claim sourced, every argument tight. You hit publish and watched the numbers. Twenty-four hours later: 41 views. Meanwhile, someone else posted a single sentence — "I quit coffee for 90 days and found something uncomfortable" — and collected 120,000 impressions before lunch. The difference was not effort. It was not even quality. It was a single decision made in the first three words of the title: which emotional circuit to activate.
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Beyond One-Shot: The Recursive Reflection Framework for Polished AI Outputs

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By Yao Xiao
| DEV Community
Here's the problem nobody talks about: the reason most AI outputs are mediocre isn't the model — it's that you asked for a final answer and got one. A model with no friction produces the path of least resistance. It pattern-matches to "good-enough" and stops. It doesn't know what your bar for quality is. It doesn't know what logic you'd push back on, what tone would make your audience tune out, or what structural flaw a sharp reader would catch in the first 30 seconds.
Open in Who Shared Issue with article?

Beyond 'Think Step by Step': How to Build a Reasoning Scaffold That Forces AI to Actually Think

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By Yao Xiao
| DEV Community
"Think step by step" used to be a genuine insight. It isn't anymore — at least not as a complete prompting strategy. The phrase triggers a reasoning mode, yes. But it gives the model zero constraints on how to reason. The model fills in the blanks the only way it knows: by pattern-matching to whatever sequential reasoning looks like in its training data. For simple arithmetic or well-structured problems, that's often enough.
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