Side project · 0→1 AI product

Museum of Children’s Books

Picture books tell their stories through pictures, but good writing about the illustrations was scattered and scarce in Chinese. Working solo as designer, developer and editor, I built a bilingual picture-book museum for Taiwanese readers, then an AI research workflow inside its admin. I review every paragraph before it’s published, and research time dropped from 7–11 hours to about 2–3 hours per book.

Role
Designer, developer and editor
Team
Just me, building with Claude Code and Cursor
7–11h → 2–3h
Research time per book

AI Studio gathers evidence and drafts inside the admin, so one curator can keep publishing.

33 books live
Sourced close readings

33 of 71 books are published, each with sourced visual analysis.

Every paragraph
Reviewed before it goes live

A review queue keeps a human approval step on each paragraph.

The public museum beside its admin, where research is drafted and reviewed.
The problem

Finding information was only the beginning

I wanted to understand how the pictures tell the story. The material was scattered across interviews, exhibition pages and articles; Chinese-language writing on illustration was thin; and references I saved on Facebook and Instagram were hard to find again.

Each close reading needed research, visual study, sourcing, writing and fact-checking, about 7–11 hours per book. With 38 books waiting and a team of one, writing alone couldn’t keep up.

≈ 7–11 hours per book
38 books waiting · 33 of 71 published
  1. 01
    Research background
    2–3 h
  2. 02
    Study the illustrations
    1–2 h
  3. 03
    Find sources
    1–2 h
  4. 04
    Write
    2–3 h
  5. 05
    Fact-check
    1 h
Where the time went on each close reading, before AI Studio.
Key decisions

Four decisions that made the museum sustainable

01

Make visual storytelling the product, and one book a day the front door

Each entry focuses on how the images tell the story, with visual analysis. A timeline gave historical context but broke down at around 20 books, when titles from the same year overlapped. I prototyped three homepages; Option A, one featured book a day, gave visitors a reason to come back, so the museum became a destination worth researching for, before any AI was added.

I prototyped three homepage concepts with Claude and tested them; Option A (Book of the Day) won.
02

Give the AI the whole book, not one field

Per-field generation wrote generic commentary about friendship and childhood instead of reading the pictures. Splitting the work between an admin advisor and a Cursor skill improved the research, but I still copied every draft in by hand.

Before
Before: one field at a time, generic output.
Expected

Analysis of illustration and page layout

Received

General commentary, not visual analysis

I merged both into AI Studio inside the admin, where AI drafts with the whole book and its sources in view. The biggest gain came from removing the copy-paste between tools, not from a better prompt.

After
After: AI Studio drafts with the whole book in view.
03

Keep facts and opinions apart

Every AI paragraph links to numbered evidence, a source or a visual observation. Claims with only one source are flagged, not cited, so I can check them before anything goes live.

Click a citation to open its evidence, then jump to the full list.
04

Turn reader feedback into visual close reading

I tested with 5 readers: parents, picture-book fans and people who promote picture books. They wanted more visual analysis and help talking with their kids, so I added close-read mode and an age guide. Requests for post-reading activities shape what’s next.

After testing, I added close-read mode: zoom into an illustration and step through annotated details.
Outcome

Live with 33 books, and still being built

The live museum: cover-tinted pages, true-proportion covers, and always a next book.

Research time dropped from 7–11 hours to about 2–3 hours per book, so one curator can keep the museum growing.

  • Shipped. 33 of 71 books published, each with a sourced close reading.
  • One workspace. AI Studio finds, researches and drafts books in one place.
  • Pages take their color from the cover. Each book page is tinted from its cover’s palette, so every visit feels like a different book.
  • Covers keep their real proportions. Unlike shopping sites with identical thumbnails, list widths follow each book’s shape, so readers sense its size before opening it.
  • There’s always something next. Similar books and illustrator profiles at the bottom keep readers exploring.

Next: I choose the angle of analysis before AI writes, my photos of the physical book feed the visual analysis, and research gaps get flagged instead of producing failed drafts. I’m also bringing editing into AI Studio, so I can revise and approve each paragraph right in the draft without going back to the book page.

Visit the museum
What I learned

AI handled the volume. The judgment stayed mine.

  • Context beats prompts. A button per field failed because the AI saw one field at a time. It became useful only once it could see the whole book and its sources.
  • Design the workflow, not just the feature. Removing the hand-offs between tools mattered more than any prompt change.
  • Keep facts and opinions apart. Sourcing every claim and flagging what can’t be verified is what lets AI handle the volume while the judgment stays mine.