AI Beta Reader

AI readers read. AI editors edit.
One report, two perspectives.

AI readers simulate the attention curves of real readers; AI editors give structured feedback from the perspective of 200+ senior editors. A complete read in under a day.

🎁 Sign up — your first report is on us
Reading report — The Lighthouse Keepers
MS v4 · 5 readers · 6 editor passes
Attention curve
Drop · Ch. 3 Peak · Ch. 5
Editorial letter

Structurally solid overall. Chapters 3–4 sag — readers' attention drops noticeably here. Suggest cutting Maya's interior monologue at the start of Ch. 3 (readers already know what she's thinking).

— Dual-engine read

Readers read it through, editors take it apart.

Most "AI feedback" comes from one perspective. Slima runs two engines — AI readers reflect actual reading experience, AI editors do structured analysis.

5–8
AI readers
with custom personas
6
editor passes
structure / character / pacing / prose / market / overall
200+
editor training samples
the AI editor's source
— 01 · Two engines, side by side

AI readers + AI editors, running in parallel.

AI readers read the whole book and tell you where it dips and where it grabs. AI editors break it down and tell you how to fix it. Both run at once, neither blocks the other.

AI Readers

Simulating real reading

Attention drops. Some passages grab. Chapter three is where readers want to quit. AI readers mimic these real reactions.

  • Attention curve (drop / peak)
  • Reading heatmap (per-paragraph mood)
  • Reader inner monologue
  • Market simulation
AI Editors

From the angle of 200+ editors

Trained on the editorial paths of 200+ senior editors. Output reads like the rejection letter a publishing house would actually write.

  • Story structure
  • Character depth
  • Pacing & tension
  • Prose craft
  • Market fit
  • Overall edit
— 02 · AI Readers

We trained AI to read like real people. They drop, they grab, they DNF.

Most AI feedback is a paragraph of polite generalities. Slima's AI readers respond to every passage you wrote — like real readers do.

i

Attention curve

Visualizes the rise and fall of attention across the whole manuscript. Drop zones (where attention slips) and emotional peaks are flagged — click any of them to jump to the matching passage.

drop / peak detection
ii

Reading heatmap

Each paragraph annotated with reader mood (engaged, confused, skim) plus inner monologue. "Almost stopped here." "This pulled me right back." — what readers actually think.

paragraph-level granularity
iii

Market simulation

Models target-audience reception by genre. Kindle readers, literary critics, YA fans — different tastes, different reactions, broken out per cohort.

genre-aware
iv

5–8 reader personas

Maya (34, literary), David (47, ex-editor), Pia (22, YA)… each with their own taste, age, reading history. Custom readers persist across reports.

custom personas
— 03 · AI Editors

From the angle of 200+ editors, structured feedback.

AI editors don't just "give opinions" — they integrate the editorial paths of 200+ senior editors and analyze your manuscript across six professional dimensions.

6 editor passes
Pass 01

Story structure

Three-act beats, turn strength, ending landings

Pass 02

Character depth

Arcs, motivation consistency, supporting cast weight

Pass 03

Pacing & tension

Scene density, tension curve, breathing room

Pass 04

Prose craft

Syntax, rhythm, voice signature, dialogue edges

Pass 05

Market fit

Genre expectations, audience match, publishing direction

Pass 06

Overall edit

Holistic read of the whole MS plus a fix priority list

Output

Editorial letter

A letter that reads like the rejection note a publishing house would actually write — calling out the main issues, preserving the strengths, pointing the way forward.

Output

Q&A block

Specific questions you ask (e.g., "Is the pacing right in Ch. 3?") get analyzed one by one.

— 04 · What the report looks like

Scores. Quotes. Heatmap. Plus things you can act on.

A complete read — overall scores, attention curve, reader quotes, editorial letter, Q&A — delivered together.

L
Reading report — The Lighthouse Keepers
MS v4 · 5 readers · 1 editor
Delivered
Overall scores
4.5
Pull
4.7
Voice
3.4
Pace
4.2
Stakes
4.6
Character
4.3
Setting
Top fix: Pacing dips in chapters 3–4. Two readers flagged time-jumps; one mentioned the protagonist's silence.
What they said

I almost stopped at chapter three — the time-jumps confused me. But I found the rhythm again, and chapter five had me hooked.

— Maya, 34 · literary fiction

The dialogue cuts. But the protagonist's interior went missing in the middle, and I lost her there.

— David, 47 · ex-editor

Honestly? I loved chapter three. That mess is the point.

— Pia, 22 · YA & fantasy
— 05 · The flow

From upload to report, in under a day.

AI readers and AI editors run in parallel — neither blocks the other.

Step 01

Upload your MS

Long-form supported. Pull from your Slima cloud or upload directly.

Step 02

Pick readers + editor passes

Select 5–8 readers from the persona library. Tick the editor passes you want — or all six.

Step 03

Parallel analysis

Readers read end to end while editors do structured passes — concurrent, non-blocking.

Step 04

Get the report

Scores + heatmap + editorial letter + fix priority. Shareable, exportable.

— 06 · Your work, never trained on

Your manuscript, always yours.

AI readers read it once, then forget. We don't train models on your content — that's written into our terms.

Read once, then cleared

Once the report is generated, content is cleared from inference memory.

Never used to train

Your manuscript is never used to train any model — not ours, not third-party.

Encrypted at rest

AES-256 storage, TLS 1.3 transport. SOC 2 underway.

★★★★★
Slima's writing coach is right there when I need it and never gets in the way. Version control lets me revise freely, and offline writing with cloud sync means I never lose a thing. Writing used to be lonely — now there's company and a real sense of safety. Wait, you're telling me Beta Reader will actually read my draft and give feedback? (silently sobbing)
XX
Xinxinzi
Keyboard Warrior
🎁 Welcome gift

Sign up, your first report is on us.

No card required. Get your manuscript read once, see the full report, then decide whether to subscribe.

01

Full AI reader report

5 readers go end to end. Attention curve, heatmap, inner monologue — all included.

02

Full AI editorial feedback

All 6 editor passes run. Editorial letter + Q&A block delivered.

03

Same as paid

Format, depth, exportability — identical to what subscribers get. No feature limits.

Claim your free report

No credit card to sign up · Reports usually delivered within 8 hours

— 07 · Going further

Pro: the right call for ongoing revision.

If you're revising continuously, comparing versions, or keeping the same panel of readers across drafts — Pro is the typical path.

Free first report

Free Price

Sign up — your first report is on us

  • Full AI reader report
  • Full AI editorial feedback
  • 5 readers + all 6 passes
  • No credit card
Claim free report

Keep the readers on staff

Sign up after your free report to keep running drafts past the same panel of readers

  • Ongoing report quota
  • All 6 editor passes
  • 5–8 readers, custom personas
  • Long-form manuscript support
  • Diff between revisions
  • Save panels for repeated runs
Sign up to subscribe
— 08 · Common questions

"Is this actually useful? Is my work safe?"

If your question isn't here, write to us. A human reads everything.

What's included in the free first report? +

A full AI reader report + AI editorial feedback (5 readers + all 6 passes). Identical to the format paid subscribers get. No feature limits. Read once, then cleared. Never trained on.

How do AI readers "simulate real readers"? +

Each AI reader has a persona — age, reading history, taste, dislikes, voice samples. They react in character: Maya engages more with literary fiction than hard sci-fi; David flags time-jumps the moment he sees them. Attention curves, heatmaps, and inner monologue are visualizations of those reactions.

What does "200+ editors" actually mean? +

The AI editor's judgment paths integrate the editorial habits of 200+ senior editors (across fiction, scripts, commercial, literary, etc.) — what they check first, the angles they give feedback from, how they identify strengths and weaknesses. So you don't get "one AI's opinion" — you get an integrated read trained on 200+ editors.

Will my work be used to train models? +

No. Read once, then cleared — content leaves inference memory once the report is done. Slima never trains models on your content. That's written into our terms.

How long a manuscript is supported? +

Long-form is supported (novel-length). The full manuscript is read end to end; each AI reader holds the whole text in context while writing notes — so cross-chapter contradictions actually surface.

Can I bring my own readers? +

Yes. "Custom reader" lets you define taste, age, reading history, dislikes, and voice samples. The reader stays consistent across reports as long as you keep them.

Let your manuscript be read once.

Sign up — your first report is on us. AI readers + AI editors, one full report. No card required.

First report free No credit card Read once, never trained on