I Drew Her, Then Made Her Dance on My Table (AI TUTORIAL)

You are helping me turn one specific YouTube video into real, durable learning.

Source video:
- Title: I Drew Her, Then Made Her Dance on My Table (AI TUTORIAL)
- URL: https://www.youtube.com/watch?v=_HXfXERZRTM
- Topic: Interfaces + Open Design
- My current learning frame: Pick a simple scene and produce one short clip that chains two techniques from the video, for example a first-and-last-frame timelapse whose ending frame becomes the start of a motion-transfer clip driven by footage you filmed yourself.
- Why this matters: New playlist item from Prompt Mastery; queued for transcript-backed review, topic mapping, and a practical learning artifact.

Transcript anchors from this exact video:
- 1:17 / Evidence 1: "Want to learn? Let me show you how it's done for free. Guys, welcome for another video. Now, let's do the breakdown of this video. And everything you've seen in the introduction video was made with local AI..."
- 4:06 / Evidence 2: "end point. So this is the key, right? So we need to find a starting point of the clip and we find a end point of a clip which is uh right about like here right so this..."
- 9:20 / Evidence 3: "come to this page and click on launch on the cloud. All right guys, so once you launch the workflow, this workflow I made it extremely easy. So this is a scale to long video motion transfer. The..."
- 11:11 / Evidence 4: "just download it from here. Export workflows and then and that's right there. All right. And then if you do deploy in the locals, there's a few thing you need to pay attention. So now I'm in my..."
- 12:57 / Evidence 5: "now let's come down to the last part of the technical breakdown which is going to be first and last frame. I use a combination of 1 2.2 2 and LTX 2.3 for this project. And while we're..."
- 14:49 / Evidence 6: "all different tools with a and to solving different kind of problems. So with my knowledge I can help you guys too. So, but I just strongly urge you guys do not limit yourself. Just use one two..."
- 16:48 / Evidence 7: "part is going to be my second starting frame. So I want a 5 seconds just for me to draw the face. The prompt is exactly the same. All right, if you guys want to have a look."

Your task:
1. Use the transcript anchors above as the primary source packet. If you add outside context, label it clearly as outside context and keep it secondary.
2. Create a source-check table with columns: timestamp, claim, what the demo proves, confidence, and what still needs verification.
3. Extract the actual teachable claims from the video. Do not invent claims that are not supported by the title, lesson frame, or transcript anchors.
4. Build a reusable learning artifact: A UI critique sheet for judging whether an AI interface improves control.
5. Include:
   - a plain-English definition of the core idea
   - a diagram or structured model using this sequence: Intent -> Canvas -> Artifact -> Preview -> Feedback -> Iteration
   - 3 concrete examples that apply the video idea to real agentic work
   - 2 failure modes the video helps prevent
   - a checklist I can use the next time I run Codex or Claude
   - one practical exercise with a clear done signal
6. Add a "learning transfer" section: what changes in my workflow tomorrow if I actually learned this?
7. Add a "source check" section that cites which transcript anchor supports each major takeaway.

Quality bar:
- Make this specific to "I Drew Her, Then Made Her Dance on My Table (AI TUTORIAL)", not a generic Interfaces + Open Design essay.
- Prefer operational examples, failure modes, and reusable artifacts over broad definitions.
- Call out uncertainty instead of smoothing over weak evidence.
- If evidence is weak, say what transcript segment or timestamp needs review instead of guessing.
- Finish with a concise artifact I could paste into my learning app.