Accountable answers
Source-grounded responses preserve the passage, locator and file behind supported claims. Model knowledge and live web evidence are identified separately so users can judge the basis of an answer.
AI with evidence and human control
Figurve is designed to support understanding without hiding uncertainty, replacing professional judgment or using learner content to train models.
Learner agency
People choose which course sources are active and whether internet or model knowledge may be used. Instructors can set policy boundaries for shared cohorts without opening private learner chats.
Human oversight
AI output can be incomplete or wrong. Figurve is a study and research aid, not a substitute for instructors, official assessment rules, medical, legal or other professional advice.
Adaptive, not self-retraining
The learning loop adapts review priorities from private mastery signals. It does not retrain or fine-tune provider model weights on uploads, chats, voice prompts or learner activity.