Expert corpus
Reviewed judgment episodes, exceptions, and correction history reveal what similar cues meant in prior cases.
From evidence to expertise to learning
The skill-transfer learning process
The workflow does not turn visible motion directly into instruction. It compares verifiable evidence with practitioner questioning and provenance-bound expert corpora, documents, and prior records before forming judgment episodes and learning designs.
Current demoSource evidence plus cited prior knowledge through practitioner-reviewable judgment records
Future learning capabilityPractice, explanatory feedback, variation, and transfer assessment
01 · ANIMATED PROCESS MODEL
Animated evidence-to-learning process
Use Previous, Next, numbered stages, or Pause to inspect where evidence and existing knowledge meet at expert review.
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Video and visual models can nominate questions, and existing knowledge can nominate interpretations. Neither proves this practitioner’s intent, reasoning, correctness, or authorization. Current-video evidence and contextual sources remain separately cited.
02 · INTERPRETATION CONTEXT
Use existing expert knowledge as provenance-bound interpretation context
A new video need not be interpreted from scratch. Approved expert episodes, written sources, and previously extracted graphs can be retrieved to propose interpretations, comparisons, exceptions, and better questions. They remain a separate cited layer—not direct evidence from the current video.Documents and standards
Approved SOPs, work standards, manuals, technical literature, and research retain version and applicability.
Prior extractions
Skill graphs, terminology, object correspondence, and open questions from earlier videos remain traceable to origin.
Retrieve
Match task, tool, material, conditions, and perceived cue to relevant sources
Compare
Expose similarities, differences, applicability, and conflicting accounts
Propose
Offer an interpretation, exception, or interview question—not an established fact
Expert review
Accept, correct, or reject while citing current evidence and prior knowledge separately
Dual provenance: the interface may join ‘what this video shows’ with ‘what an existing source suggests,’ but their evidence IDs are never collapsed.
Separate current-video evidence
Keep speech, observation, and derived visual or audio cues distinct, timecoded, and traceable.
Ask from the video moment
The AI turns a concrete moment, perceived cue, and uncertainty into a specific expert question.
Let the expert resolve applicability
Existing knowledge proposes an interpretation; the expert accepts, corrects, rejects, or leaves it Open.
Project a reviewable record
Only reviewed relationships enter a draft SOP with dual provenance and explicit Open questions.
Design practice and feedback
Observe, predict, hear the expert, practise, receive feedback, reflect, vary the case, and assess transfer.