# Exercises

Your work goes here. I read whatever you drop in and critique it against the relevant lesson checklist.

## Naming convention

`NNNN-short-topic.<ext>` where `NNNN` increments. Examples:

```
exercises/0001-semantic-layer-explainer.png
exercises/0002-caching-architecture.pdf
exercises/0003-aml-model-doc.md
```

## What to drop in

Whichever fits how you produced the work:

| You produced the work in...      | Drop in...                                                                                       |
| -------------------------------- | ------------------------------------------------------------------------------------------------ |
| **Figma / FigJam**               | Export as PNG or PDF, save as `exercises/NNNN-topic.png`                                         |
| **Google Slides / Keynote**      | Export the slide as PNG or PDF                                                                   |
| **Hand sketch on paper**         | Phone photo, save as PNG. Lighting matters less than the composition being readable             |
| **Holistics dashboard / canvas** | PNG screenshot of the relevant area                                                              |
| **Just a description**           | Write to `exercises/NNNN-topic.md`. Describe layout, palette, typography choices, what's where  |

If you'd rather not commit the image to the workspace, paste a public link (Figma share link, Drive link, Notion subpage) in chat. Same critique either way.

## What I'll do

For each exercise you drop:

1. Run the 8-point design checklist from [Lesson 0006](../lessons/0006-composition-synthesis.html)
2. Call out the top 2-3 issues in priority order (the biggest leverage first)
3. Show a fix for each (in words, or as a code/HTML mockup if useful)
4. Log the critique to `learning-records/` if it surfaced a recurring blind spot

## How to ask for the critique

Either of these in chat is enough:

> "Critique exercises/0001-semantic-layer-explainer.png"

> "Here's my first exercise, the file is at exercises/0001-semantic-layer-explainer.png"