
The first principles of modern learning systems
A practical framework for designing learning systems around capability, practice, retention, transfer, evidence, workplace support, and responsible AI.
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AI and learning
Explore how AI changes course creation, assessment, governance, and the work of learning teams. These articles separate useful automation from the conditions people still need to build durable capability.
Published by LoreGraph
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A practical framework for designing learning systems around capability, practice, retention, transfer, evidence, workplace support, and responsible AI.
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The principles behind LoreGraph: capability before completion, active practice, honest evidence, human review, and learning that can survive the workplace.
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AI can generate lessons, questions, and feedback. Whether people actually learn depends on how the system makes them think, practice, and perform.
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See how July’s work strengthened LoreGraph’s document-to-training workflow, learner access, source reuse, and generation reliability.
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A practical framework for L&D teams to govern AI-created training through standards, reviews, measurement, and maintenance.
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