​
Reader Review Room

The Reader Review Room simulates and organizes reader feedback. The first implemented reader is the First-Time Reader board member; broader AI reader cohorts and human beta-reader workflows can come later.

​
Blind Reader Principle

Blind readers should not receive project notes, canon, research, source material, or author explanations unless the author explicitly gives them that knowledge. This protects the most valuable question:
What does the reader understand from the manuscript alone?

​
Implemented AI Reader

The First-Time Reader belongs to the book’s Editorial Board. Its age and sex/gender lens come from book metadata:
  • audience age group: Child, Teen, Young Adult, or Adult
  • audience sex/gender lens: Any, Female, or Male
The board member still has reader-specific configurable fields:
  • reading habits
  • domain literacy
  • patience level
  • emotional sensitivity
  • knowledge mode
These values are stored per book in editorial-board/first-time-reader.md when customized. They do not override the book’s target audience metadata.

​
Knowledge Modes

The current First-Time Reader knowledge modes are:
  • Blind: receives only selected manuscript text.
  • Partial manuscript: receives selected prior summaries or chapters.
  • Context-aware: receives selected canon, notes, sources, or project context.
The UI must make the selected mode obvious before sending anything to AI. For series projects, reader knowledge may also be scoped by book:
  • no prior series knowledge
  • has read selected prior books
  • has read all previous books
  • has access to author-selected series context
Blind reader mode should not receive series bible material or future-book planning notes unless the author explicitly includes them.

​
Fiction Persona Examples

  • Casual sci-fi reader
  • Hard science fiction reader
  • Character-first reader
  • Impatient thriller reader
  • Gifted high school reader

​
Nonfiction Persona Examples

  • Curious general reader
  • Skeptical expert
  • Busy professional
  • Student reader
  • Visual learner
  • Teacher or curriculum reviewer

​
Reader Reports

Reader reports should answer:
  • what I understood
  • what confused me
  • what I think matters
  • where I got interested
  • where I drifted
  • whether I would keep reading
  • what I expect next
  • what I think the rules, argument, or key ideas are based only on the text
Human beta-reader support can come later, after the AI reader workflow proves useful.