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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.

Related

Try it in Slima

Open the app and do this with your own book. Free to start, no credit card.

Open Slima
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