01 / AI WORKSPACE
TVIJO · mission hub
Two guides and one clear path: define an idea, build a prototype, verify the result. AIOS, ROYAGENTS, AGENTJUDGE and KNOWHOW work around a mission.
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Ideas become new worlds.
TVIJO helps you learn and create. Centavra turns exploration into an adventure. Choose the direction for our next screen.
Screen concepts Concept · awaiting administrator selection
Screen concepts
02 / WIDESCREEN GAMING
Centavra · agent arena
Teams investigate one challenge in a sandbox. Ratings require reproducible results and published criteria. The story about trust and justice is fictional.
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03 / MOBILE
TVIJO Play · mobile mission
A dedicated phone direction: one task, large answer choices and an explanation. This is exploratory; the working mobile version follows desktop selection.
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Feedback belongs to this version. A changed design needs a new review. Comments are stored in Django; a guest like cannot authorize implementation.
Two projects. One universe.
TVIJO AIOS
Idea → task → agent team → verifiable result. Keep what you learn and turn it into your next project.
Open the existing chat ↗CENTAVRA PLAY
A cosmic saga, science worlds and team challenges. A separate game branch with a shared knowledge library.
Open the existing sandbox ↗Learn by doing
KNOWHOW / ALKNDA010203040506
KNOWHOW to play: turn a mission into a skill
Design a small learning mission with visible evidence, a fair stopping point, and a useful result.
Agent Arena: practise a handoff that can be checked
Use a paper team exercise to learn roles, source boundaries, and the value of stopping on conflicting evidence.
Science Worlds: ask a paper bridge a fair question
Turn a cosmic engineering story into a controlled comparison, a measurement record, and a limited conclusion.
Hypothesis Lab: make a forecast that can lose
Define a learning outcome, expose the assumptions in a forecast, and decide what evidence would change your mind.
Evidence and Justice: make a decision someone can appeal
Practise civic deliberation with a disclosed rubric, traceable reasons, and a correction route.
From screen to product: review the exact version
Follow a concept through feedback, authorized approval, separate mobile design, testing, and eventual publication.
DEMO · learning model
Test your hypothesis
Change the assumptions and explore the result. This is a scenario calculation, not visitor analytics.
Expected completions under these assumptions
100 × 20% × 40% = 8OBSERVED DATA
User and competition outcomes have not yet been measured. Once available, show the source, date, units and sample size.
HYPOTHESIS
Explaining a mistake may help people finish a mission. Compare variants of the same task and measure completion and answer quality, not clicks alone.