Shows reasoning gaps, expression risks and a revision path.
The more legitimate learner and educator context available, the more useful the next action becomes.
HAOLLA analyzes reasoning, expression, grammar and rubric fit, then turns the signal into a revision action. The goal is better thinking and clearer writing—not ghostwriting.

AI supports repeatable analysis while important judgment and learning ownership remain human.
The more legitimate learner and educator context available, the more useful the next action becomes.
HAOLLA avoids unverified claims of official status, guaranteed outcomes, affiliation or scoring authority.
A single analysis matters only if revision and re-performance become useful learning signals.
text or an image.
reasoning, expression and rubric signals.
show the highest-value correction first.
compare the revision and build learning memory.

Learners revise and explain, educators retain important judgment, and AI helps with repeatable analysis and pattern detection.
The default product philosophy is revision guidance first. It can show examples when useful, but learner ownership and self-explanation remain central.
The current feedback demo accepts text and image submissions. For high-stakes use, human review is recommended.
No. The feedback is instructional analysis, not an official score or examiner decision.