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User Group Meetup 2026
Session 7: Update on AI Agents
Session 7: Update on AI Agents
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Video Summary
The session introduced several AI agents and how they build on one another. Hannah converts videos, audio, and PDFs into transcripts, summaries, and learning objectives. Sherlock does the same for SCORM packages by unpacking their contents and extracting text; because it works effectively and affordably, it is being moved from tier two to tier one and made available to all users.<br /><br />Dory organizes an institution’s content by tagging it to a topic blueprint. Its coverage map helps users see which subjects their library covers, filter and browse materials, and identify gaps or imbalances.<br /><br />These foundations support Miss Benson, a planned personalized learning advisor. By connecting learner assessment questions and course content through a shared knowledge map, it can identify missed concepts and recommend the most relevant materials—without requiring learners to ask for help.<br /><br />The presenter also previewed two agents in development: Marketing Guru, which will create tailored course landing pages, and a QA Tester, which will review courses for issues such as placeholder questions, broken links, incorrect instructions, and mismatched credits.
Keywords
AI agents
transcription
SCORM packages
content tagging
knowledge map
personalized learning
QA testing
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