STRATIUM/ LABFREE BETA

STRATIUM LAB / FREE BETA

About Stratium Lab

Stratium is an early learning experiment for students and nontechnical beginners. Choose a goal, read the lessons selected for your day, and practice each concept. Home shows today's assignment, Journey shows your selected path, and Library contains all lessons.

What this beta includes

The Library contains 35 illustrated lessons across AI foundations, career discovery, vibe coding and earning with AI. Each lesson offers Essentials, Deeper understanding and Advanced depth choices. Reading is divided into complete teaching parts, each followed by required practice that starts folded. The basics cover AI, machine learning, training, language models, bias and electricity use. Practice includes correcting claims, assembling prompts, changing a CSS preview and reviewing mistakes with alternate examples. The paths are curated around your chosen goal; they are not generated by an AI tutor. Practice completion does not certify mastery, job readiness or income.

Home also shows the most recently published Daily insight, with an archive of earlier articles. The content is the same for every user. Insights show their event, publication and review dates. Their optional questions appear after the article and do not affect lesson progress or daily completion.

Your learning data

Sign in with ChatGPT, then choose your goal, familiarity, depth, daily time preference and a relevant focus. Your preferences, reading status, assigned parts, lesson depth choices, answers, practice drafts and review queue are saved to your account and can load on another device when you sign in. The app stores these records under a site-specific user ID; it does not store your email or name in its learning database. Changing your plan keeps earned progress. Changing a lesson's depth does not change your plan preference.

A 5-, 10- or 15-minute preference guides the daily assignment using estimated reading and practice time. Each assigned part stays complete; a necessary part can exceed the preference. Today's assignment stays fixed during the day, and a new day resumes unfinished work. Reading pace and retries can change the actual time needed. New study days can also include a review of a missed concept from a lesson you have completed. That review counts toward the estimate.

Builder development is paused. Existing project tools remain at /build/, with their browser-saved code, backups and exports.

External AI tools

The public beta does not provide live AI inference or ask for an API key. You can copy an instruction into an external assistant, then review and paste its code back here. That service has its own account requirements, pricing and privacy terms. Stratium does not receive the conversation from that service. Remove personal or confidential information before sharing it.

Privacy and feedback

Review history saves up to 200 recent checked responses, their dates and exercise identities with your account progress. It shows the exercise feedback and later checks; it does not diagnose what you understand. Earlier saved mistakes may not have a date or full response.

The app keeps a browser cache for the signed-in account to recover changes when saving is interrupted. An unsaved draft may remain on this device until you clear browser data. Old browser-only learning progress is added to an account only if you select that option in the plan preview; original browser data is preserved. Project notes and code from the paused builder remain browser-only. There is no custom analytics or hidden tracking. The hosting and sign-in providers process account and request information needed to authenticate and serve the app. The feedback tool downloads a note; it does not submit it.

To send feedback, email y15306263697@gmail.com. The link opens your mail app; your email is shared with Stratium when you send it. Do not include passwords, API keys or confidential information.

Teaching approach

Read each teaching part, open its practice and complete it before moving to the next part. Feedback, hints and retries support the practice. The career-task lesson is a Stratium exercise rather than a validated career test. Lessons link to their sources and show their review date.