docs/demo-script.md

The Compliment Forest Demo Script

Target length: 85-95 seconds.

Use a pre-generated completed forest for the final reveal. Record one real generation separately, then edit through the waiting periods so the video shows the complete product without pretending inference is instantaneous.

0:00-0:08 - Hook

Screen: Open on a completed Layered Paper Cut forest. Slowly scroll past two different clearings.

Voiceover:

Most AI encouragement sounds kind, but says very little. The Compliment Forest turns one real worry into a grounded, illustrated path forward.

0:08-0:22 - Start With a Real Worry

Screen: Return to the start. Enter:

• Name: Ka
• Situation: I worry that one test score means I am not as smart as I thought.

Submit and show two adaptive questions with different selected answers.

Voiceover:

I begin with one sentence. The forest asks five adaptive questions about what happened, what feels at stake, and what useful progress would look like. It does not ask me to choose a generic mood.

0:22-0:31 - Choose the Visual Language

Screen: Move quickly through the remaining answers. Select Layered Paper Cut and click Grow my forest.

Voiceover:

Then I choose one of four LoRA-trained visual styles. Text and images run on separate Modal GPU services, while the Hugging Face Space streams progress.

0:31-0:58 - Show the Five-Chapter Arc

Screen: Cut to the completed forest. Highlight each role title as the page scrolls:

1. arrive
2. steady
3. widen
4. step
5. carry

Pause longest on step. Show a sentence containing a concrete action such as reviewing one missed question or identifying one topic to practice.

Voiceover:

MiniCPM plans from exact phrases in my input, writes five chapters, and critiques them. The path first acknowledges the feeling, then separates facts from fear, offers realistic options, gives one small action, and ends with a simple plan.

0:58-1:12 - Explain What Makes It Reliable

Screen: Overlay a simple diagram:

adaptive intake -> planner -> author -> critic -> validators -> FLUX images

Then briefly show a test terminal with 155 passed.

Voiceover:

Local validators reject invented biography, repeated sentences, unsupported dates, vague fallback language, and advice with no practical step. Bad chapters are repaired selectively. If repair fails, the app returns an honest retry instead of canned prose.

1:12-1:24 - Show the Small-Model Work

Screen: Show the Hugging Face model, dataset, LoRA, and trace cards in a quick four-panel montage.

Voiceover:

The project also publishes a 1.08-billion-parameter MiniCPM fine-tune and llama.cpp GGUF, four FLUX style adapters, training data, and sanitized planner-author-critic traces.

1:24-1:32 - Close

Screen: Return to the full forest and its final mantra.

Voiceover:

The Compliment Forest is whimsical encouragement with engineering boundaries: small models, honest uncertainty, and one useful step back into the day.

End card:

huggingface.co/spaces/build-small-hackathon/compliment-forest

Recording Checklist

• Record at 1440p or 1080p, 16:9.
• Keep browser zoom near 90% so the custom interface remains readable.
• Hide bookmarks, personal tabs, tokens, and terminal paths.
• Use captions for every voiceover line.
• Do not show a crisis phrase in the main demo; mention the safety boundary in the article and README so the product story stays focused.
• Export a thumbnail from the completed paper-cut forest.