How it works
From expression to confirmed meaning.
One continuous path connects camera input, recognition candidates, academic-risk detection, repair, confirmation, model routing, answer checks, and separately authorized learning.
02 / The sequence
Sign → Recognize → Detect risk → Repair → Confirm → Route → Check → Learn.
01–03 · Access
The camera starts a candidate—not a conclusion.
A recognizer observes the signing and proposes meaning. Structural cues and multiple candidates may reveal uncertainty without pretending to understand what has not been reliably identified.
04–06 · Authority
Repair only what could change the answer.
The learner sees a focused clarification, edits when necessary, and confirms the complete intent. Blanket confirmation is the current scaffold; selective intervention is the evidence-gated direction.
07–08 · Assurance
Route confirmed intent. Check the response.
Confirmed academic intent can be sent to the chosen model. Optional learning signals remain private by default and separate from model contribution.
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