A one-page grounding / accuracy / completeness / tracking gate before a generated study aid reaches a learner: ground the model in the transcript, verify every claim against the source with timestamp citations, check completeness and emphasis against the learning objectives, prefer self-testing flashcards over a passive summary, and emit each aid as a tracked xAPI statement.
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The handbook · 7 volumes
Fora Soft Video Engineering Handbook
This checklist gates an AI study aid before learners see it: grounding in the transcript, timestamped claim checks, completeness and xAPI tracking. Our seven-volume handbook covers the video stack behind learning platforms; start with Volume 6 for ASR, search and RAG over video, then Volume 4 for audio and Volume 1 for encoding. Written by Nikolay Sapunov, CEO at Fora Soft.
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