video-workbench/docs/cases/training-ai-ppt-case.md

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Training AI PPT Case Pattern

This pattern is for training, AI education, customer enablement, internal workshops, and method lectures that need a teachable slide deck.

It is extracted from the old 31_CASE training AI PPT case. The original topic, prompts, Codex JSON, output paths, and global text prohibitions are not carried forward.

Use When

Use this pattern when the target is:

  • a training deck, course deck, lecture deck, workshop deck, or AI education PPT;
  • a slide sequence that must support live explanation, pause, discussion, and later reuse;
  • a deck where each page is a teaching unit, not a video shot;
  • not a customer proposal whose primary goal is decision conversion.

Core Difference

Training PPT pages are not scenes. They are teachable units.

Each page should answer:

  • What should the learner understand after this page?
  • What misconception or resistance might exist before this page?
  • What example, analogy, contrast, diagram, or exercise lowers the learning barrier?
  • What can the learner do, judge, or remember after this page?

Learning Path

Common sequence:

problem entry
-> concept or model
-> method frame
-> example or contrast
-> practice or migration
-> summary and action

Not every deck needs all six parts, but the page order should behave like a learning path rather than a list of impressive points.

Page Granularity

Default rule:

  • one page solves one teaching goal;
  • slide copy stays sparse and editable;
  • speaker notes carry explanation, examples, and transition;
  • interaction is included when the page benefits from learner reflection;
  • abstract models need a diagram, matrix, loop, ladder, map, or other visible structure.

Avoid one page trying to explain a concept, prove a case, give a method, run an exercise, and conclude the section at the same time.

Local Page Spec

For Video Workbench, put this in slides/sNN/sNN-unit-spec.md or use it as the basis for that file:

field purpose
unit_id sNN identifier used by local files
slide_role opening, concept, model, contrast, case, practice, summary, transition
teaching_goal what the learner should understand, change, or be able to do
core_message one sentence that gives the page its point
slide_copy editable title, subtitle, bullets, labels, or quoted line
layout comparison, triangle, matrix, timeline, loop, ladder, map, flow, dashboard
visual_asset_brief background, metaphor, concept visual, diagram base, or scene asset
speaker_notes how the instructor explains the page
interaction question, quick vote, reflection, mini exercise, or none
transition how this page connects to adjacent pages
review_focus what Codex should inspect during iteration

This is a local execution spec, not a final image prompt or JSON execution package.

Slide And Asset Layering

Keep these layers separate:

layer owns
editable slide text titles, subtitles, bullet points, labels, formulas, exact wording
layout structure that controls learner attention
visual asset background, metaphor scene, illustration, diagram base, icons, texture
speaker notes explanation, example, pacing, transition, instructor emphasis
interaction question or exercise that turns listening into retrieval or judgment

Generated images should not be asked to carry precise deck body copy by default. If the design needs diagram labels or visible text inside an image, document that choice in execution-plan.md or the unit review criteria.

Speaker Notes Style

Speaker notes should do three jobs:

  • explain the key concept in plain language;
  • give a concrete life, classroom, business, or product example;
  • bridge to the next page.

Good notes are not page copy repeated aloud. They let the slide stay sparse while still giving the instructor enough material to speak for 1-2 minutes when needed.

Common Page Patterns

pattern use when layout hint
structural problem establish why the topic matters triangle, tension map, before/after
misconception correction replace a shallow belief with a better frame split screen, false/true contrast
model introduction name and explain a reusable model matrix, loop, layered diagram
method frame turn concept into steps or checks flow, ladder, checklist, flywheel
case comparison show how AI changes a task or judgment traditional vs AI-enabled
practice page make learners apply the frame prompt, scenario, quick exercise
summary chain close the logic path timeline, chain, staircase, map

"Traditional vs AI-enabled" is especially useful for AI training case pages, but it is a pattern choice, not a global rule.

Review Dimensions

Review drafted or generated pages against these dimensions:

dimension pass condition
teaching goal one page has one clear learner outcome
copy density slide text is sparse enough to scan and edit
layout clarity structure helps understanding rather than decorating the page
speaker notes notes explain, exemplify, and transition
asset layering visual assets do not replace editable slide text by accident
interaction any question or exercise has a clear teaching reason
sequence the page advances the learning path
live usability an instructor can pause on the page and teach from it

Small-Batch Strategy

Do not build the full deck visually before validating the teaching system. Pick representative pages:

  • one opening or problem page;
  • one abstract model page;
  • one method-frame page;
  • one case-comparison page;
  • one practice or summary page if interaction or closing tone is uncertain.

Record the selected batch in execution-plan.md, then track page-level status in slides/slides.md.

Abstracted Example Shape

## s08 Unit Spec

- slide_role: model introduction
- teaching_goal: Learners understand that the model is a decision aid, not a decorative framework.
- core_message: A usable model changes what people can notice, compare, and improve.
- slide_copy:
  - title: short model name
  - subtitle: one-line use claim
  - bullets: three editable labels or dimensions
- layout: center matrix with one highlighted region
- visual_asset_brief: clean diagram base with subtle learning-path motion; exact labels remain editable in the slide layer
- speaker_notes:
  - define the model in plain language
  - give one concrete classroom or work example
  - explain why the next page moves from model to use case
- interaction: ask learners which dimension they currently under-observe
- review_focus:
  - model structure is legible
  - page is not crowded
  - notes can support live explanation