voice-audit

What problem does it solve?

Identifies AI-generated voice markers, authenticity risks, and voice drift in completed sermon and theological manuscript drafts so authors can restore their native pastoral voice without a full rewrite.

Core Features & Use Cases

• Machine Tell Scan: Grep-style and stylistic checks for structural, transition, word-level, rhythm, substance, image-density, and assumed-familiarity tells.
• Voice Continuity Check: Compares drafts against an author's sermon corpus for required voice markers and absent patterns, flagging drift with specific locations.
• Conviction, Cadence & Doctrinal Checks: Tests for pastoral directness, climactic sentence shaping, doctrinal sharpness, and early comfort before conviction.
• Authenticity Risk Assessment: Aggregates findings into a Low/Medium/High rating and recommends 3–5 minimal, targeted restoration edits rather than wholesale rewrites.
• Use Case: Post-draft review of a sermon prepared with AI assistance to ensure the final manuscript reads like the verified preacher and retains doctrinal and sermonic integrity.

Quick Start

Run a voice-audit on the attached sermon draft and return flagged machine tells, voice-continuity gaps, conviction and cadence diagnostics, and three minimal restoration edits.