I need a responsive web application—viewable just as comfortably on phones as on desktop—that delivers an engaging learning experience through interactive tutorials. The core of the platform is “learning by doing,” so each lesson should feel like a hands-on sandbox rather than a static video or slide. Key elements I want to see working together: • An intuitive interface where I can author tutorial steps, embed code snippets, quizzes, or small challenges, then publish them instantly. • An AI layer that assesses a learner’s inputs in real time and offers hints, explanations, or next-step suggestions. Think adaptive feedback: if a user struggles, the system nudges them with extra context; if they breeze through, it accelerates. • Progress tracking that remembers where each learner left off and highlights skills they’ve mastered or still need to practice. • Clean, scalable architecture—React or similar for the front end, Node or Python on the back end, and integration with an AI engine such as OpenAI or a comparable model for the adaptive logic. Acceptance criteria for the first milestone: 1. User can register, log in, and launch an interactive tutorial from any modern mobile or desktop browser. 2. Tutorial steps load dynamically, capturing user input and sending it to the AI module. 3. AI returns context-aware feedback within two seconds. 4. Progress saves automatically and re-loads accurately after sign-out. Code should be push-ready to GitHub (or GitLab) and include a brief README outlining setup, environment variables for the AI key, and deployment instructions to a cloud host (Heroku, Vercel, AWS, or similar—whichever is quickest for a demo). Let me know if any part of the workflow needs clarification, and feel free to suggest additional AI capabilities that align with interactive, tutorial-driven learning.