Open questions · Human–AI collaboration

Return what the video could not tell us to the skill graph.

The AI formulates questions from the gap between what the source supports and what a learner still needs. An expert answer becomes a provenance-bearing graph node and updates the related process context.

Progress

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01 · QUESTION FORMULATION

How an open question is formulated

The system does not plausibly fill gaps. It fixes the source-supported boundary, then asks only for learning-critical fields that remain unstated.

  1. 01
    Perceive video and speech

    Ground speech, on-screen text, entities, and motion in time

  2. 02
    Structure the graph

    Separate process, action, attention, and criteria

  3. 03
    Detect a missing field

    Find absent criteria, values, exceptions, rationale, or identity

  4. 04
    Formulate a neutral question

    Avoid leading the answer and retain source links

  5. 05
    Apply the human answer

    Add accepted evidence and mark the question resolved

02 · OPEN QUESTIONS

Open questions in the skill graph

Select a question to inspect why it was generated, its evidence, and the exact graph patch an answer will create.

Tacit sensory cue

What tactile difference tells the practitioner they are feeling the face correctly?

Open
Why it was generated

The action is visible, but the source does not state which tactile, acoustic, or visual difference lets an expert judge it.

What the source establishes

Finish an L-shaped cornerStraight passes from two directions can leave the corner untouched. Present the file at 45°, connect the faces, and use the safe edge to protect the adjacent face.

Learning-critical field missing from the source

Tacit sensory cue

Evidence IDs
speech-l-edge-reason
2:32

Expert answer

03 · GRAPH UPDATE

Live graph patch

Applying an answer immediately changes the question state and adds a human-verified evidence node.

LEARNING UNITFinish an L-shaped cornerRelated learning unit
RAISES_QUESTION
OPENQUESTIONWhat tactile difference tells the practitioner they are feeling the face correctly?Awaiting an answer
SUPPORTED_BY
EVIDENCEITEMAwaiting an answerHuman-verified evidence

04 · SOURCE CHECKS

Supporting source checks

Transcript, OCR, and neutral-ID checks are a separate provenance gate—not answers to the skill questions. They remain available below.

Progress0 / 5

1. Audio spot checks

Listen and confirm whether the displayed source-language text matches the recording.

Audio 1

こっちもかけてみようか

segment 93 · 329.30s

Audio 2

それがこれよさっきの

segment 28 · 98.74s

Audio 3

当ててこれかけとる こっち側傷つかないんだ こっち側しか削れない

segment 45 · 158.12s

2. Confirm the visual correspondence once

This fixes a neutral tracking ID; it does not infer what the work means.

object_1 review frameobject_1

May the highlighted part held in the hand be assigned the neutral ID object_1?

tool_1 review frametool_1

May the highlighted long, narrow vertical tool be assigned the neutral ID tool_1?

The result is bound to this video hash

0399d977fff02f7a5fd69d2dad2074f7b7f574f69b0787c9f14b5cd1b7523f12

The mechanical gate remains pending until the JSON is imported with apply-human-review. Formalizing the SOP requires a separate practitioner review of every instruction.

Continue with this source

One source, five connected views

Switching views preserves the same source hash across instruction, analysis, skill structure, evidence, and human review.