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Individual reader cards

Last updated June 10, 2026 · 2 min read

"5 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 + lens

Reading experience:
"...a short narrative of how this persona read your text..."

Strongest Scene:    the moment that landed best
Biggest Improvement: the single weakest element to fix
Recommendation Type: who this reader would recommend it to
Purchase Intent:     whether this reader would buy it

Mini scores:  Opening  Characters  Pacing  Overall
              [bar]    [bar]       [bar]   [bar]

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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