Sourcebound

I want people who move to a new country to learn what they need fast: laws, rules, a language, a new trade. That is why I built Sourcebound. This means that an author writes one short brief (who learns, what they must be able to do, what to cover, which languages) and presses Build once. A chain of Meta model agents writes the whole course: a blueprint of modules and topics, a full lecture for every topic, one picture per topic, exercises cut from the lectures, and translations into every language the author ticked. Every draft goes through a corrector, and code accepts it only when its checks pass: every quote must exist in the lecture, every answer key must match. Learners open one link on a phone, a tablet or a laptop. Answers are graded by code, not by a model, and a wrong answer points to the exact paragraph to read again. The course also teaches people to catch the AI when it is wrong. Every model call is visible to the author: what was asked, what came back, tokens and cost. A 17-topic course cost $4.96 (107 calls, 52 blocks). Each author runs courses on their own Meta key, stored encrypted. It goes beyond chatting over data: a multi-agent authoring pipeline with structured blocks, code checks after every agent, resume from the last good step, a reply store so no call is paid twice, and a learner path graded by code. This is my family's story: we moved from Ukraine to Norway and had to learn a new life fast.