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Yanxuan Story Creation System

5 Foundation Files + 9-Step Pipeline · Industrialized Short Suspense-Story Production Line

An industrialized creation system for high-completion-rate suspense / twist short stories on paid-story platforms like Yanxuan. Its core paradigm is "5 Foundation files + 11 gates + 9-step pipeline": it hard-codes front-loaded constraints across the plot_summary → world / characters / outline / voice / canon five phases, then drives the story from setting to a publishable draft through a 9-step pipeline — Foundation alignment → plot generation → initial generation → scene generation → editorial review → reader feedback → author revision → logic verification → proofreading gate → style rewrite. With 11 Foundation gates (F1–F11), a 10-question adversarial test, and multi-author style-fingerprint rewriting, it upgrades "human reviewing human" into "machine gates, human decides."

RELATED SYSTEMS

Related Systems

YanXuan focuses on "short suspense + industrialized pipeline," while novel-writing focuses on "long-form + 30-step ordered flow" — the two form a short / long complementary pair.

Product Demo

Core Modules

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Books Overview · 13+ Story Samples with Chapter Stats

PRODUCT MODULE
Books Overview · 13+ Story Samples with Chapter Stats
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Foundation Review Gates · 5 Phases, 11 Gates + 10-Question Adversarial Test

PRODUCT MODULE
Foundation Review Gates · 5 Phases, 11 Gates + 10-Question Adversarial Test
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Pipeline Run Control · 9-Step Conveyorized Scheduling

PRODUCT MODULE
Pipeline Run Control · 9-Step Conveyorized Scheduling

Core Philosophy

Decompose "author inspiration → publishable draft" into 5 Foundation files + 11 gates + 9-step pipeline — front-load constraints, automate review, and make style reproducible.

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5 Foundation Files Lock Front-Loaded Constraints

FOUNDATION_FIRST

Before writing a single word, you must complete five files — world.md (physical constraints & sensory map) / characters.md (character arc & villain disguise) / outline_v2.md (foreshadowing / event function / chapter BEATS) / voice.md (style fingerprint & Exemplars) / canon.md (timeline & evidence chain). All constraints are locked before drafting, so downstream never "fixes the setting after the fact."

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11 Gates F1–F11 · Machine Gatekeeping

11_GATES

F1 physical constraints / F2 character arc / F3 sufficient foreshadowing / F4 increasing event function / F5 style fingerprint / F6 Canon timeline / F7 evidence chain / F8 Exemplars quality / F9 hook effectiveness / F10 villain disguise layers / F11 logic confrontation — each gate has a corresponding file and fix method; failing a gate blocks entry to the next phase.

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9-Step Pipeline + Author–Editor–Reader Iteration

9_STEP_PIPELINE

Foundation alignment → plot generation → initial generation → scene generation → editorial review → reader feedback → author revision → logic verification → proofreading gate → style rewrite. Author / editor / reader iterate over multiple rounds with different prompts, turning single-shot generation into a traceable engineering flow.

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Style Fingerprint + Multi-Author Rewrite

STYLE_FINGERPRINT

Extract the author's style profile (sentence length / dialogue ratio / sensory allocation / rhythm features) from samples into profiles/, then rewrite the text by fingerprint — the same story can switch to the "Shisanshua" style or a custom target author with one click.

Industry Pain Points

Industrialized production of short suspense / twist stories has long faced six common pain points — each one directly drags down completion rate and publish rate.

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Reliance on Personal Inspiration & Feel

Creators start on a "stroke of genius" with no methodology; hits are unrepeatable, team throughput is unpredictable, and newcomers take long to ramp up.

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Foreshadowing / Canon Contradictions Found Only After Writing

Traditional flow is "write first, ask later," leading to uncollected foreshadowing, timeline conflicts, and broken evidence chains; fixing one thing breaks everything, and bugs surface only before publishing.

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Severe AI Writing Style Drift

AI-generated text carries a heavy "AI smell" — sentence length / dialogue / sensory choices diverge from the target author's style, forcing authors to spend huge effort hand-editing.

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No Unified Standard for Multi-Author Collaboration

When a team co-writes, each person records character voice, foreshadowing, and Canon differently; merging causes style breaks and setting conflicts.

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Subjective, Non-Reviewable Evaluation Criteria

Assessments of completion rate / hook / twist rely entirely on the editor-in-chief's subjective judgment, lacking a quantifiable, reviewable checklist.

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Volatile Platform Tone & Compliance Constraints

Different paid platforms (Yanxuan / Fanqie / Qidian) differ sharply in tone, length, and compliance red lines; when platform rules change, large numbers of old drafts become obsolete.

Core Capabilities · 9 Functions

Designed around the full chain "5 Foundation files → 11-gate review → 9-step pipeline → style rewrite," each capability has clear input / output and responsibility boundaries.

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Structured Construction of 5 Foundation Files

world / characters / outline_v2 / voice / canon each have explicit templates and fill-in steps (plot_summary lock → physical constraints → sensory map → alibi → evidence chain → internal consistency); each file can be checked and back-filled independently.

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11 Foundation Review Gates

F1–F11 check quantifiably item by item (foreshadowing ≥10, density ≥5 per 1k words, ≥3 indirect-characterization methods, ≥3 villain-disguise layers, etc.); failing a gate forces rework with a clear fix.

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10-Question Adversarial Test

"Refute your core premise in one sentence?" "Does the story still hold if the villain is an ordinary person?" "Can the first 100 words make a stranger curious?" "Does the ending take 10–15%?" — ten questions reverse-interrogate the setting to surface fatal flaws early.

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9-Step Creation Pipeline

Foundation alignment → plot generation → initial generation → scene generation → editorial review → reader feedback → author revision → logic verification → proofreading gate → style rewrite; each step has an independent prompt, independent log, and independent exit code.

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Author–Editor–Reader Iteration Loop

Author drafts → Editor gives structure / rhythm / foreshadowing / voice feedback per the editor prompt → Reader gives "completion rate / hook / immersion" feedback per the reader prompt → Author revises per feedback; multiple iterations turn single-shot generation into engineering polish.

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Logic Verification + Canon Timeline Check

An independent logic-verification script (logic_verification_prompt) checks item by item across four dimensions — motive / timeline / evidence / caliber; the Canon timeline is precise to the hour, and the evidence chain is fully passed from creation to current holder.

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Style Profiling & Multi-Author Rewrite

Extract the author's style fingerprint from samples (reference/) into profiles/ (templates like shisanshua_style / hard-boiled noir / lyrical plain-sketch / playful dialect), rewrite text by fingerprint, and support line-by-line diff between any two drafts.

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Auto-Generated Story Notes

One click generates a publish-ready "story notes" file + chapter titles for unified external publishing; golden_12 / The Third List already have the standard trio — notes + chapter names + creation log.

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One-Stop Visual Admin Console

Flask + vanilla JS, no-build admin console with four modules — books overview / Foundation review / style rewrite / pipeline run; paths are locked inside the project to prevent traversal, and the backend reads only without polluting source files.

9-Step Creation Pipeline · From Foundation to Publish

After Foundation alignment, the pipeline runs; the 9 steps execute in dependency order, each independently runnable with independent logs.

Engineering Flow
1
Foundation Alignment
Package the 5 Foundation files (world / characters / outline / voice / canon) and inject them into downstream prompts, ensuring the 11 gates F1–F11 pass and the 10-question adversarial test has no fatal flaw.
2
Plot Generation
Generate a chapter-level plot skeleton (scenes / conflicts / twists / hooks) per plot_summary_template, aligned with outline_v2.md's chapter BEATS · PLANTS · HARVESTS.
3
Initial Generation
Call scene_writer_prompt_v3 to generate chapter first drafts per the plot skeleton, injected with Foundation constraints (physical Hard Rules / sensory map / character arc / Canon timeline).
4
Scene Generation
Fill in environment, dialogue, action, and transitions scene by scene per the detailed scene outline, aligned with voice.md's sentence-length / dialogue-ratio / sensory-allocation targets.
5
Editorial Review
The editor prompt reviews the first draft across four dimensions — structure / rhythm / foreshadowing / voice — and outputs structured revision suggestions (keep / rewrite / delete / insert).
6
Reader Feedback
The reader prompt simulates target readers' feedback on "first-100-word appeal / completion rate / twist acceptance" and outputs actionable rewrite points.
7
Author Revision
The author makes the final revision per editor + reader feedback; author_revision_prompt outputs the revised text, and the revision process can iterate over multiple rounds.
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Logic Verification
logic_verification_prompt independently checks across four dimensions — motive / timeline / evidence / caliber — and auto-highlights paragraphs that conflict with the Foundation.
9
Proofreading Gate + Style Rewrite
proofreading_gate_prompt does final proofreading (typos / voice drift / inconsistencies); style_rewrite.py rewrites per the target author's style fingerprint; produces two versions of the text — "original" and "rewritten."
No Pipeline Entry Until Foundation Passes
If any of the 5 Foundation files fails a gate F1–F11, or the 10-question adversarial test has a fatal flaw, it must be back-filled before entering the pipeline; front-loaded constraints are the premise that makes the 9-step pipeline trustworthy.
Pipeline Steps Run & Re-run Independently
Each step has an independent prompt, independent script (workflow/*.py), independent log (tasks/<id>.log), and exit code; if any step fails it can be re-run alone, without starting over.
No Trust in Self-Assessment, Rely on Gates
Gates (F1–F11) are auto-checked by Foundation files and regex rules, not by LLM self-assessment; the 10 adversarial-test answers come from an independent Agent and never reuse the same context.

Key Results · Foundation & Pipeline Assets

Crystallize the capability of "industrialized short-suspense-story production" into measurable, reusable engineering assets.

5 files
Foundation Files
world / characters / outline / voice / canon lock front-loaded constraints
11 gates
Review Gates F1–F11
Machine gatekeeping, not subjective judgment
9 steps
Creation Pipeline
From Foundation alignment to style rewrite
13+
Story Samples
golden_01~12 + named books already banked

Key Breakthroughs

The difficulty is not in single-point rules, but in stringing "Foundation–Review–Pipeline–Style" into one traceable, reviewable, reusable industrialized production line.

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Front-Load Constraints, Not After-the-Fact Fixes

The 5 Foundation files lock physical constraints / character arc / foreshadowing / style / Canon before writing, so downstream writing never "fixes the setting after the fact" — eliminating at the source the engineering problems of "uncollected foreshadowing" and "Canon contradictions" that only surface after writing.

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11 Gates + 10-Question Adversarial Test

F1–F11 are machine-checkable, quantifiable rules (foreshadowing ≥10, density ≥5 per 1k words, ≥3 indirect-characterization methods, ≥3 villain-disguise layers); the 10-question adversarial test reverse-interrogates the setting; together they upgrade "subjective review" into "automated review."

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Author–Editor–Reader Iteration Loop

The author drafts per Foundation; the editor gives structure / rhythm / foreshadowing feedback per the editor prompt; the reader gives completion-rate / hook feedback per the reader prompt; multiple iterations upgrade "AI writes it all at once" into "AI participates in engineering polish."

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Reproducible Style Fingerprint

Extract the author's style profile from samples into profiles/, then rewrite text by fingerprint; the same story can switch to "Shisanshua" or a custom target author with one click, solving the industry pain of "heavy AI smell / large hand-editing burden."

Business Value

Convert technical capability into quantifiable, reusable business value.

Improvements Delivered
Foundation front-loaded constraints: shift from "finding bugs after writing" to "locking constraints before writing," so downstream never reworks the setting.
11 gates + 10-question adversarial test: upgrade review from "editor-in-chief's subjective judgment" to "machine gates, human decides" — quantifiable and reviewable.
9-step pipeline: each step has an independent prompt / log / exit code, can be re-run alone, and failure does not drag down the others.
Author–editor–reader iteration: upgrade single-shot AI generation into a traceable engineering-polish flow, producing higher-completion-rate drafts over multiple rounds.
Reproducible style fingerprint: extract the style profile from samples into profiles/, switch to any target author with one click, solving the "heavy AI smell" industry pain.
One-stop visual admin console: Flask + vanilla-JS, no build; paths locked against traversal; four modules (books / review / style / pipeline) cover the full creation flow.
Applicable Scenarios
Industrialized production of short suspense / twist stories for paid platforms like Yanxuan / Fanqie / Qidian (10+ per month in batch).
Multi-author collaboration for MCN story teams — unify Foundation standards and style profiles to avoid style breaks and setting conflicts.
Hit-story deconstruction for publishers / web-novel studios: first decompose 100 hit stories by the 11 gates, bank Foundation templates, then reuse at scale.
Engineering upgrade of AI writing tools from "single-point generation" to "industrialized pipeline," banking gate and pipeline assets.
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Content Under Active Update

Product content has been published based on internal materials. The following areas are planned for further development:

Formal integration plan with paid platforms (Yanxuan / Fanqie / Qidian) — quantifying tone differences and compliance red lines
Auto-judgment strategy for "severity grading" and "blocking or not" of the 10 adversarial-test answers
Multi-author expansion of style-profile profiles/ (beyond shisanshua: hard-boiled noir / lyrical plain-sketch / playful dialect templates already built)
Batch processing and team collaboration for the Foundation review report foundation_review.md (review-task assignment / version diff / sign-off flow)
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