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深度写作

Adaptive deep-writing workflow for all forms of deep content creation in Chinese, including turning transcripts and note piles into articles, deepening rough...
自适应深度写作工作流,适用于中文深度内容创作,可将录音稿和笔记堆快速转化为文章,深化粗糙稿...
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概述

Deep Writer

Overview

Handle deep content writing in three common modes:

  • source-driven: turn transcripts, notes, interviews, or messy drafts into strong articles
  • draft-deepening: take an existing article or outline and make it deeper, clearer, and more complete
  • topic-driven: write a deep piece from a topic, thesis, question, angle, or user idea

Default to pausing for user confirmation after analysis and structure unless the user explicitly asks for one-pass output.

Quick Start

  1. Choose the writing mode before doing anything else.
  2. Infer the audience, scenario, purpose, and stance before drafting.
  3. Complete Stage 1 before writing the article body.
  4. Lock Stage 2 before expanding long-form prose.
  5. Run the final draft against the brief and the quality checklist.

If the user only wants a brief, outline, or structural diagnosis, stop at the relevant stage instead of forcing a full article.

Default Contract

Treat these as the default assumptions unless the user says otherwise:

  • Required: either source material, or a topic / thesis / question / outline to write from
  • Optional: supporting materials, target audience, publication scenario, stance, length, depth, tone, and style
  • Default mode selection:
  • source-driven for transcripts, notes, interviews, speeches, and fragmented material
  • draft-deepening for rough drafts, partial articles, and existing outlines
  • topic-driven for requests that start from a theme, thesis, question, or desired article idea
  • Default language: Chinese
  • Default goal: formal publishable writing, not chat-style rewriting
  • Default structure policy:
  • source-driven: preserve the source's macro frame and allow only micro-adjustments
  • draft-deepening: keep the strongest existing frame, then strengthen weak or thin sections
  • topic-driven: design the best-fit structure around the brief and thesis
  • Default process: wait for confirmation after Stage 1 and Stage 2

If the user provides an already-approved outline, treat it as Stage 2 input and move to Stage 3 after a lightweight brief alignment.

Workflow

Stage 1: Analysis and Planning

Perform all of the following before drafting:

  • identify the writing mode
  • identify the likely audience, scenario, purpose, and stance
  • build a brief using assets/brief-template.md
  • do the relevant analysis for the mode:
  • source-driven: preprocess spoken-language noise, repetitions, and fragmentary clauses
  • draft-deepening: identify weak logic, thin sections, repeated claims, and missing support
  • topic-driven: clarify the central question, working thesis, key angles, and likely counterpoints
  • extract viewpoint units, argument units, or section units and cluster overlapping ideas
  • explain the main logic relations or argument chain

Output at least:

  • the brief
  • mode diagnosis
  • preprocessing notes or argument notes
  • viewpoint clusters or argument clusters
  • logic chain or logic graph summary
  • open questions, evidence gaps, or assumptions when they materially affect the piece
  • updated todo status
  • a confirmation prompt for the next stage

Read references/workflow.md when the material is fragmented, the thesis is still fuzzy, or the structure is not yet obvious.

Stage 2: Structure Design

Use the accepted Stage 1 output to design the writing frame.

Do all of the following:

  • choose the right structure rule for the mode:
  • source-driven: preserve the source's core framework unless the user explicitly requests a rewrite
  • draft-deepening: keep the strongest existing structure, but rebuild weak branches when the draft cannot support the thesis
  • topic-driven: build the strongest structure around the thesis, reader, and scenario
  • merge duplicate sections or overlapping arguments
  • decide section order with the minimum necessary reordering in source-driven mode, or the clearest reader path in topic-driven mode
  • assign each section a clear job, not just a title
  • explain which parts were kept and which parts were adjusted

Use assets/outline-template.md when the user wants a reusable structure blueprint.

Output at least:

  • the optimized structure
  • the role of each section
  • notes on preserved versus adjusted structure
  • updated todo status
  • a confirmation prompt for the next stage

Stage 3: Content Writing

Write the full article only after the structure is locked.

Do all of the following:

  • follow the accepted structure instead of improvising a new one
  • deepen claims with relevant background, mechanisms, examples, or implications
  • remove transcript residue and spoken fillers when they exist
  • keep the author's core meaning intact in source-driven mode
  • keep the improved version aligned with the original draft's intended thesis in draft-deepening mode
  • keep the thesis coherent and non-repetitive in topic-driven mode
  • finish with a quality-check summary

Read references/quality-bar.md before finalizing the draft.

Output Format

Use the staged wrapper in assets/stage-output-template.md unless the user requested another format.

Default wrapper:

【阶段X完成】

---
【本阶段输出】
[stage output]

---
【待办事项状态】
- [completed] 第一阶段:分析与规划
- [pending] 第二阶段:结构设计
- [pending] 第三阶段:内容撰写

---
是否继续下一阶段?(输入“继续”进入下一阶段,或提出修改意见)

For the final stage, replace the confirmation prompt with a short quality-check summary.

Hard Rules

Do not:

  • invent unsupported facts, data, case details, or quotations
  • invent a new central thesis that is absent from the source material in source-driven mode
  • radically rebuild the structure after Stage 2 is accepted
  • keep obvious duplicate viewpoints in separate sections
  • add generic filler that does not deepen the reader's understanding
  • distort the source's stance in order to sound smoother or more authoritative
  • pretend a topic-driven article is well evidenced if the user did not supply evidence and none is available

Always:

  • choose the mode explicitly when the request is ambiguous
  • make the logic chain visible
  • distinguish source viewpoints from supplemental interpretation when that boundary matters
  • keep the brief as the baseline for structure and drafting decisions
  • state assumptions when the user did not provide audience, scenario, or stance

Resource Map

版本历史

共 1 个版本

  • v0.1.0 当前
    2026-05-07 08:04 安全 安全

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