About Me and LoriBrain.com

I’m Miao Jie, also known as Lori. Born in 1999, I graduated from a university in Hubei in 2021 and now live in Shenzhen. I work on website growth, with an interest in marketing, products, and AI automation.

What This Knowledge Base Is For

LoriBrain.com is my public knowledge base and a window into my work and thinking. I contribute experiences, ideas, and judgments; Codex helps organize them into methods, strategies, workflows, and tools, and handles site implementation and maintenance. I guide the content and direction and review the results.

The name LoriBrain came from a simple idea: record what’s in my head so I can revisit it and connect with people who share my interests.

What I Have Done

• Foreign trade and consumer electronics: After a foreign trade internship, I joined an accessories company in off-site promotion, where I first encountered a complete cross-border ecommerce operation.
• Shopify themes: I left to learn how to develop and sell themes. The learning direction and path I chose were flawed, and the attempt failed.
• A vaping startup: I joined as employee number 16 and participated as the team grew to over a hundred people, working first in SEO and later as a brand operations manager. The founder, Frank, gave me room to experiment and make mistakes. This experience shaped my understanding of entrepreneurship and made me less afraid of failure.
• Crystal wholesale: I started a business with friends that ultimately failed. It taught me to validate demand early in trading businesses, understand customers and competitors, and allocate people and resources according to the project’s stage.

Now and Next

I currently lead a website project at a manufacturing and trading company. I develop growth strategies around markets, customers, and data, then turn them into measurable actions that can be reviewed. SEO, advertising, social media, and AI automation are tools in that work.

My longer-term goal is to build a product people keep using. I’m interested in both AI software and hardware, and am building the experience, funding, and understanding of user needs to pursue that goal.

My Views on AI

These are my views as of July 28, 2026.

1. Commercial Value Needs Validation

Using Gartner’s Hype Cycle as a framework for how technology moves from market excitement toward practical adoption, I believe AI is in the latter part of its peak of expectations. I see risks in enterprise-heavy paid demand and returns concentrated in computing infrastructure, while sustainable value at the application layer remains to be demonstrated.

2. Adoption Depends on Ease of Use

I’m cautious about the long-term retention of chat assistants and the mass adoption of agents that require users to configure APIs, plugins, and workflows. Most people care about price, convenience, and results. I see stronger prospects in AI integrated into existing products and services.

3. Faster Execution, More Review

In my projects, AI has reduced repetitive work while increasing fact-checking and quality review. Broad knowledge does not make every answer reliable. Users still need to learn, revise their judgments, and take responsibility for results.

4. Hardware Should Solve Specific Problems

I’m interested in autonomous driving’s potential to advance AI’s understanding of the physical world through real-world data. For robots, I focus on the task: assembly lines, warehousing, and sorting offer clearer opportunities to validate efficiency, while complex tasks in open environments remain challenging. A human-shaped body is not how I judge a product’s value.

People I’d Like to Meet

I’d like to connect with people working on growth, international markets, products, and applied AI, especially those who enjoy building, sharing experience, and working together.