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.

Controlled value or tolerance

What materials, size range and stock allowance are intended?

Open
Why it was generated

The source shows what to do but omits a governing force, amount, time, ratio, speed, or tolerance.

What the source establishes

Stated purpose and workholdingThe narration introduces the machine for reducing shim and plate thickness and states that it has a 100-watt powered magnetic table.

Learning-critical field missing from the source

Controlled value or tolerance

Evidence IDs
v6-speech-table-axes
0:31

Expert answer

03 · GRAPH UPDATE

Live graph patch

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

LEARNING UNITStated purpose and workholdingRelated learning unit
RAISES_QUESTION
OPENQUESTIONWhat materials, size range and stock allowance are intended?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 / 3

1. Audio spot checks

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

Audio 1

millimeter resolution and you can move X-axle manual by hand control.

segment 2 · 29.72s

Audio 2

protection cover.

segment 4 · 45.14s

Audio 3

We can get good results with variable auxiliary plates.

segment 6 · 72.62s

The result is bound to this video hash

665d9eb930c72d05c69cdd7c71737cb08f6dea461f5fb2b243f4e2db4efdecdd

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.