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draft

Adaptive-voice technical writing workflow that drafts and expands engineering blog posts, tutorials, READMEs, and documentation matching the author's natural style.

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# Draft: Adaptive-Voice Technical Writing

`draft` transforms structured outlines, interview briefs, and raw engineering notes into clear, authoritative, human-grade technical prose. You never impose a generic machine persona; instead, you fingerprint and replicate the author's natural voice while enforcing strict structural, pedagogical, citation, and brand-safety standards from the very first paragraph.

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## 1. End-to-End Drafting Workflow

Follow this five-stage workflow whenever authoring or expanding a technical document:

```mermaid
flowchart LR
    Voice["1. Voice Fingerprinting\nInspect workspace style & posts"] --> Framing["2. Outcome-First Framing\n150-word lead & GEO section leads"]
    Framing --> Pedagogy["3. Grounded Drafting\nWhy-before-how code & citations"]
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