AI products
The interesting part starts after the demo: choosing the right problem, shaping the experience, and earning repeat use.
- Product discovery
- Rapid prototypes
- Feedback loops
- The small details
Hi, I'm Zinuo.
I build products with AI.
I like taking a new AI capability and pushing it until it becomes something people can actually use. This is where I share the experiments, mistakes, and lessons along the way.
Curious about what AI makes possible. Serious about product. Happy to share the process.
What I care about
AI moves fast. I stay grounded by building real things and paying attention to how people use them.
Agents that do real work
I explore agents with tools, memory, and useful boundaries. The goal is less magic and more dependable help.
- Research workflows
- Personal AI
- SRE and debugging
- Human-AI collaboration
Sharing the process
Writing forces me to be clear. I share build notes, system-design lessons, and the failures that changed my mind.
- Build notes
- System design
- Open-source experiments
- What failed and why
What I'm building
A few ongoing experiments at the intersection of AI, product, and systems.
Digital Avatar
A personal AI avatar that connects memory, principles, and everyday decisions.
SRE Agent Framework
An AI teammate that gathers evidence and helps engineers reason through incidents.
Deep Research Agent
A research experience that plans the work, checks the evidence, and keeps citations attached.
The loop I trust
Most of my best learning follows the same path.
Explore
Follow a question until it becomes concrete enough to test.
Build
Turn the idea into something I can use, then put it in front of other people.
Share
Write down the useful parts while they are still fresh.
Notes from the build
I write to work out what I think and to leave a useful trail for the next experiment.