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I built an open-source tool for learning anything using AI:
- Type what you want to learn
- It creates a full course for you
Move from beginner to mastery of any subject, even complex things like Quantum Physics
It has three formats:
- Explanation: bite-sized lessons that you swipe like TikTok/Instagram
- Practice: solve problems in real-world situations
- Quiz: test your knowledge in Duolingo-like lessons
- Language courses have a different format covering vocabulary, reading, and listening skills
It's more hands-on than reading a long textbook or watching a video
Plus, it uses everyday language, so it's easier to connect complex concepts to your reality. I built the tool I wish I had when I was in school/uni
Of course, I'm biased but I've been using it for the past few weeks and I'm truly loving it. I can't imagine myself going back to learning through traditional ways
I think we need a better OS for AI in general.
The current way computers, phones, and operating systems were designed was for humans to interact with a screen. But moving into the future, we are going to start using voice much more often, so we need operating systems that completely rethink how we interact with devices.
We need operating systems that realize they are voice-first and just take actions based on what we want.
I don't think the future is us going to individual websites or navigating anymore. It is going to be just asking for information, and the device brings it back and gives it to us.
Companies building operating systems and hardware should really rethink how their OS works
Even though AI feels like living in the future, existing operating systems still feel like living in the past.
I’ve changed my mind about this topic
Yes, Opus 5.5 is the best model right now, and it still makes silly engineering mistakes. But does it really matter?
I used to think every line of AI-generated code needed reviewing. Now I think it depends on what you’re building
If you’re building safety-critical software, absolutely. But most software isn’t that.
For a startup that hasn’t found PMF yet, shipping and iterating faster is far more valuable than having a perfectly maintainable codebase
Focusing on automated quality checks and making sure your agent knows how to check things e2e is probably more important in most cases
Will Ceolin retweeted
I've been cooking on this post for a bit, but with the cyber security events of this week I had to ship it:
Long-live static credentials must die. We never want to rotate API keys again.
Turns out only 8% of cloud and SaaS vendors support secure alternative. This is our call to action to change this AND our commitment to do our part:
- We are requiring vendors on our marketplace to support OIDC
- We shipped @shadcn components to make it easier to ship OIDC configuration
- We are expanding OIDC support on our own platform
The last generation got the web from HTTP to HTTPS. It is on us to move past API keys.
vercel.com/blog/death-to-lon…
I feel like AI coding tools are too verbose. I'd prefer something that feels more like working with a colleague
For example, it'd be useful to have threads organized into sections:
- Questions: Things that need my attention.
- Decisions: What the AI decided by itself and why.
- Thinking: The whole thinking process, if I want to see it.
- Overview: Everything that changed.
Right now, questions often get lost in the conversation. I'd rather have the default UI focus on what needs my attention and let me explore the details when I want to
It would be much easier to review the work as we move towards not reading the actual code anymore
the right way to use model capabilities is not to ship 10x more features to prod
it's to spend more time understanding your users, trying experiments, building prototypes, learning about things you don't understand so that you can ship things that actually work
Will Ceolin retweeted
New experiment: json-render + jev
The future Generative UI is instant
Your components, your actions, your design system
Rendered in milliseconds
I have a scheduled task on Codex to read my X feed and give me a report on relevant posts filtering out topics that I'm not interested in. This has been pretty useful
Will Ceolin retweeted
We're seeing extraordinary results from @typesafeai. Default mode in 𝚏𝚡 is auto, with a safety reviewer analyzing every command.
That reviewer runs on GPT Luna today. Jev is up to 18x faster (p95) *and* more accurate. It's coming to @vercel AI Gateway and likely new default.
We benchmarked fx auto mode (safety) classifier with @typesafeai's Jev.
tl;dr: ~5-18x faster and more accurate than 𝚐𝚙𝚝-𝟻.𝟼-𝚕𝚞𝚗𝚊, our current top choice
Will Ceolin retweeted
A quick EU founder survey: eusurvey.vercel.app.
Will Ceolin retweeted
Ran @typesafeai's Jev against an existing classifier eval that previously used Gemini 2.5 Flash Lite. It won both on quality (saturated the eval) and speed (6x)
Will Ceolin retweeted
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
















