Alex XiaoBuild in public / AI practitioner thinker

Building in public,
practicing AI,
shipping indie products

I turn AI practice, product thinking, and indie building into reusable lessons and judgment.

I bring 10+ years of enterprise finance-system engineering and now apply that systems thinking to AI agents, personal knowledge products, content systems, and indie apps. This site records my thinking, experiments, and evolving boundaries.

Build in public
AI practitioner thinker
Indie product building
THINKING IN PUBLIC

Thinking in public

These essays record how I reason about AI engineering, systems design, productization, and indie building. They are less final answers than a visible process of improving judgment.

5 min read

欢迎来到我的博客

这是一个使用 Next.js 和 MDX 构建的博客,记录我的技术学习和项目经验。

nextjsmdx博客
CURRENT EXPLORATION

The capability edge I am building

I care less about saying AI is powerful, and more about how an engineer can use it to extend creativity, product judgment, and delivery range.

01

AI Practice

Building in public while testing agents, RAG, tool use, and content workflows in daily practice.

02

Indie Building

Practicing the full loop of indie product development: idea, MVP, launch, iteration, and distribution.

03

Systems Thinking

Transferring reliability, cost, boundaries, and evolution from enterprise systems into AI apps.

How I Think About AI Delivery

TRACK

AI Engineering

Evaluation, cost, reliability, and shipping strategies.

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TRACK

Systems Design

Boundaries, trade-offs, and architecture evolution.

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TRACK

Indie Shipping

From 0→1: MVP, shipping, iteration, and distribution.

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BUILD IN PUBLIC

Make the process visible, then expand the boundary

Writing and projects will be published after they are polished. For now, I keep the welcome post public and gradually open my AI practice, indie building, and productization process.