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How do you incorporate AI in the writing copyediting business

Use AI to speed routine work and scale while keeping final human judgment. Practical steps:

  • Decide scope: which tasks AI handles (grammar, clarity, tone, consistency, SEO, fact-check flags) and which always stay human (final style decisions, nuance).
  • Pick tools: a strong LLM (GPT-4/Claude) plus specialist editors (Grammarly/ProWritingAid). Prefer enterprise/paid tiers for security.
  • Build prompt templates and canned edits for common tasks (brand voice, level of copy change, allowed deletions).
  • Workflow: intake → run AI for first-pass suggestions → human copyeditor applies/overrides with annotated changes → final quality check against client style guide → deliver.
  • Automate repetitive steps with APIs or editor plugins (batch checks, consistency reports, change logs).
  • Pricing & transparency: offer “AI-assisted” tiers and explain human oversight; track time saved and quality outcomes.
  • Protect data: use secure endpoints, NDAs, or on-prem/cloud private models for sensitive clients.

What kinds of clients and document types do you currently edit?

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