Zara Zhang
@zarazhangrui
Builder. Dangerously skips permissions. Harvard’17. GitHub: YouTube:
1.6K Following 82.8K Followers
A great way to learn design:
Give Codex a well-designed website, ask it to analyze what makes the design great, then ask it to take a complete screenshot of the website & add annotations on the image that breaks down why the design works
Learning from examples is always better than learning from theory!
And using the annotation method means you don't have to constantly switch between reading the analysis and viewing the artifact
Show more
How I get endless content ideas, in one picture
What do you do when you’re waiting for AI output?
If I were to hire today, this is how I would structure the interview process:
Round 1: in-person & no AI allowed; test domain expertise and knowledge on the fly
Round 2: a project that must be done with AI (impossible to complete without AI). Candidate assessed not just on the result but also the chat transcript with agents
Show more
Just reached 80k followers 🙏🏻
“all signal no noise no slop no hacks and still finds a way to grow her audience” is what I do here
The big lesson from AI is that everything is code. A slide deck is code. Design is code. That cool promo video? Code. Excel automation? Code. The universe? Probably made of code too.
There are basically two kinds of companies now. The ones built before coding agents showed up, scrambling to retrofit. And the ones founded after.
The second type is different from day one:
- Teams under ten people because they actually don't need more
- Work organized by projects, not departments
- Each person closes their own loop
- Almost no internal meetings
Show more
A pattern I keep seeing: the most AI-driven employees pay for the best tools out of pocket. Which means if the company doesn't provide them, your best people are piping company data into external tools on personal cards
Show more
We need to get used to the idea that code/software can now be disposable
Some examples (all are discarded after usage):
1. Creating design playgrounds/modals for yourself to fine-tune the look and feel of a design
2. Creating HTML pages to help you understand the code
3. Spinning up a throwaway dashboard to inspect something once
Show more
Whenever someone asks me "I'm just getting started with posting content on social media; what should I talk about?"
My answer is: What are the top 3 questions that you get asked most frequently by friends/acquaintances/colleagues? Turn those answers into videos/posts. Just say it like how you said it to them in real life. That is your positioning.
If you have repeatedly said something for >3 times, it's worth turning into a video
One of my initial motivations for posting on social media was because I was tired of repeating myself in real life
Show more
Everyone should develop their "personal eval set" for AI models: a few tasks that are actually relevant to your day-to-day work/life
The industry benchmarks help but they might not reflect what will make it actually useful to you
You find the model's capability boundary by poking at it & bumping into it for fun
Show more
The biggest barrier for enterprise AI adoption: the people who understand AI don't understand the business, and the people who understand the business don't understand AI
Great video
A glimpse into the making of the K3 film.
An exploration of materials, motion and form.
Brought to life by Studio Archive.
#KimiK3# #KimiAI# #MoonshotAI#
Tip for building in public:
If making content feels like extra work, show the work already happening inside your product. A tiny screen recording, the first version, or the user behavior that changed your design. The reasoning matters more than production value.
Show more
Just a few years ago, many people were uncomfortable with recording meetings
Now it’s just assumed that all business meetings are recorded (not for humans, but for agents)
Technology really changes culture
Show more
So many interesting hardware ideas from China
Like this face mask that doubles as a mic so that you can use voice dictation in public areas without being overheard
ideal prompting technique is:
- thin prompts
- thick artifacts + context
- thin skills
If you want agents to actually work inside a company, you have to design the company so they can read it
Shopify did this with an agent that had no private chat function at all, only public channels. The side effect was peer learning
Show more
Because I never learned programming the traditional way, using coding agents has been purely an act of creativity and self-expression
GitHub is basically my Substack
When I was growing up, programming was an expression of creativity.
Somewhere along the way, it became more about the chores. Merge conflicts. Flaky tests. CI failures. Bug triage.
Let's give the chores to the robots and get back to building cool shit.
Show more
The 3 levels of AI adoption for organizations
Most companies are at level 2
