We built Learning Lab for BuidlGuidl: an in-browser platform where an AI tutor grades free-text answers and coaches the Socratic way. Learners explain concepts in their own words, then write and deploy real code, all in the browser.
This is a custom AI-native product, not a chatbot bolted onto a course. The domain here is Ethereum, but the pattern is the same for any product: AI-native learning, onboarding and assessment for your users, with AI doing the one thing that used to need a human tutor, judging open-ended answers at scale.
Multiple choice tests whether you can recognize an answer. Explaining a concept in your own words tests if you actually understand it, and until recently only a human tutor could grade that. So most software fell back to quizzes, and real Socratic teaching stayed a luxury.
AI changed the economics. A model can now read and grade open-ended answers at scale, and respond with a sharper question instead of the solution. That makes one-to-one, Socratic guidance possible for every learner, not just the ones with a tutor. Learning Lab is built entirely around that shift.
Grade a free-text answer well enough to coach on it, and you can give every user something that used to need a human in the room.
Rooted in the Socratic method and Bloom's 2-sigma problem.Concept, then explain, then build, then ship. It runs in the browser with no setup, and the concept-first design lets non-coders start too.
A plain-language concept card with visuals builds the mental model, without a wall of jargon.
The AI tutor asks a Socratic question, grades the free-text answer, and coaches instead of revealing.
Write real Solidity against the concept, with the tutor aware of the code and the tests.
Compile, deploy and wire it to a UI, in the browser. No local chain, no install.
Four pieces make the experience work. The AI grader is the one that used to be impossible.
Grades open-ended answers at scale and replies with a better question, not the solution. This is the piece that used to need a human tutor, and the reason the whole experience is possible.
Learners write, compile, deploy and wire real contracts without a local chain or a setup marathon, so the first useful iteration happens in seconds.
Plain-language concept cards with visuals open the material to people who would never open a terminal, then walk them into real code when they are ready.
A structured way to turn a curriculum into graded, hands-on labs. Ethereum 101 is live now, and the same pipeline produces the labs that follow.
BuidlGuidl has already walked thousands of developers into Ethereum through hands-on building. Learning Lab is that same method, rebuilt AI-native: a Socratic tutor that grades what you actually write, in the browser.
Open Ethereum 101 and go from "what is Ethereum" to writing, deploying and using your own crowdfunding contract, coached the whole way.
If your users learn, onboard, get assessed or get supported inside your product, we design and build the AI experience around those exact moments. In-browser where it helps, and honest about where AI actually earns its place.
How we start: a fixed, time-boxed first step so you can see the shape and cost before committing. See how we work →