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app.slima.ai · Reading Report
📖 The Lighthouse Keepers v4
5 readers
Maya, 34 · literary
David, 47 · ex-editor
Pia, 22 · YA
6 editor passes ✓
ATTENTION CURVEDELIVERED
Stopped reading · Ch. 3
Pull7.8
Voice8.6
Pace6.1
Editorial letter
6 PASSES
Top fix
Pacing dips in chapters 3 to 4. Two readers flagged the time-jumps.
StructureCharacterMarket fit
Stopped reading
Chapter 3 · two readers slipped
📖 Reader · Maya, 34
"Chapter five had me hooked." · 82
📋 Editors
6 passes, structure to market fit
🔒 Privacy
Read once, never trained on
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What you get back

An honest read, chapter by chapter.

Most feedback is one polite paragraph. Slima reads every page, the way real readers do.

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The attention curve

See where readers lean in and exactly where they stop reading, chapter by chapter.

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Scores and a letter

Scores for pull, voice, pace and character, plus an editorial letter with one clear fix.

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Real reader personas

Five to eight readers, each with their own age, taste and reading history.

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Read once, kept private

Your book is cleared after the report and never used to train a model.

Attention curve

See where readers stop reading.

The curve traces the rise and fall of attention across the whole book. Click any dip to jump straight to the passage that lost them.

  • Drop and peak detection, per chapter
  • A reading heatmap and inner monologue per paragraph
Attention curve
Where readers lean in, where they slip
Stopped reading · Ch. 3
Maya, 3482
David, 4764
Pia, 2291
The report

Scores, quotes, and one clear fix.

Overall scores, real reader reactions in their own words, and an editorial letter that reads like the note a publishing house would actually write. Plus the single thing to fix first.

  • Scores for pull, voice, pace, stakes, character
  • Shareable and exportable to your editor
Reading report · The Lighthouse Keepers
v4 · 5 readers · 6 editor passes
Pull7.8
Voice8.6
Pace6.1
Character8.3
Top fix: Pacing dips in chapters 3 to 4. Two readers flagged the time-jumps.
Real readers

Reactions in their own words.

Each reader has a real taste: age, reading history, what they love and what loses them. Build your own and keep the same panel across every draft.

  • Inner monologue: "almost stopped here"
  • Market simulation by genre and audience
M
Maya, 34
"Almost stopped at chapter three, then five hooked me."
D
David, 47
"Lost her interior in the middle, and I lost her."
P
Pia, 22
"Honestly? I loved chapter three. That mess is the point."
Under the hood

Two engines, one report.

Readers reflect the real reading experience. Editors do the structured analysis. Both run on every draft.

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Editors, six passes

Structure, character, pacing, prose, market, overall. Drawn from the working habits of 200+ senior editors.

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Custom reader personas

Define a reader's taste, age, and history, then keep the same panel across every draft.

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Read once, never trained on

Your book is cleared from memory after the report and never used to train a model.

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