AI Readers

Individual reader cards

3 min read

"7 diagnostic sections" give the aggregate map; individual reader cards give individual voices.

AI Beta Readers reader selection — each picked persona becomes an individual reader card in the report

Each card

[persona icon] name + attribute chips

Read: finished / dropped at chapter X
Emotion: [liked / confused / bored / impressed]

Favourite passage:
> "...cited from your text..."
   Why: "...AI explains from this persona's angle..."

Most confused passage:
> "...cited..."
   Why: "..."

3-sentence review:
"..."

Why this tab exists

  • Abstract "60% finished" vs concrete "Reader 3 dropped at Chapter 7 because…" — the latter is actionable
  • Per-persona perspective lets you see signals like "fantasy fans OK, literary readers dropped"

How to read

  1. Start with personas who dropped — find their common drop chapter
  2. Look at personas who finished — their favourite passages, keep / strengthen those
  3. Note emotion divergence — where different personas agree / disagree

Don't act on one card

A single card is one voice — don't make big edits from one persona. Look at trends across cards for signal.

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