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RUNLOCALAI · v38
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  6. /Ch. 15
Content Creation with Local AI

15. Editorial Review Workflow

Chapter 15 of 16 · 15 min
KEY INSIGHT

Editorial review for AI-assisted content applies traditional quality principles while specifically evaluating AI contribution and human oversight effectiveness.

Editorial review processes ensure content meets quality standards before publication. For AI-assisted content, these processes must verify that AI contributions serve the content's purpose without introducing errors, maintaining the authentic voice that audiences value. Effective editorial workflows balance review thoroughness against publishing velocity requirements.

Review criteria for AI-assisted content include accuracy verification, voice consistency assessment, readability evaluation, and effectiveness measurement. Each criterion requires human judgment: is this claim accurate? does this voice match our brand? does this prose flow well? do readers respond positively? AI can flag areas needing attention within each criterion, but human evaluators make final quality determinations.

Staged review processes address different quality aspects at appropriate depths. Initial accuracy review might focus on factual claims and source citations. Voice review evaluates whether the content reflects brand personality and communication standards. Line editing addresses prose quality at the sentence level. Each stage builds on previous work, with reviewers at each stage knowing what previous stages addressed. This staged approach prevents important issues from reaching advanced stages without appropriate attention.

Reviewer qualification requirements ensure quality assessment capability. Reviewers for AI-assisted content must understand both traditional editorial standards and AI capabilities and limitations. They should be able to identify AI-generated text that lacks necessary human voice, recognize factual claims that require verification, and evaluate whether content serves audience needs. Training programs that address these competencies prepare reviewers for AI-assisted content workflows.

# editorial_review_workflow.yaml
review_stages:
  - name: accuracy_review
    reviewer: subject_matter_expert
    focus:
      - factual_claims
      - source_verification
      - evidence_quality
    turnaround_time: 4_hours
    
  - name: voice_review
    reviewer: brand_editor
    focus:
      - brand_voice_consistency
      - audience_alignment
      - tone_appropriateness
    turnaround_time: 4_hours
    
  - name: line_editing
    reviewer: copy_editor
    focus:
      - grammar_and_spelling
      - clarity_and_concision
      - structure_and_flow
    turnaround_time: 8_hours
    
  - name: final_approval
    reviewer: senior_editor
    focus:
      - overall_quality_verdict
      - publication_readiness
      - strategic_fit
    turnaround_time: 4_hours

ai_specific_checks:
  - verify_human_contribution_substantial
  - check_for_generic_ai_voice
  - flag_unverified_factual_claims
  - assess_audience_value_addition
EXERCISE

Review a piece of AI-assisted content against the criteria in this chapter, documenting what issues surface at each review stage and how they should be addressed.

← Chapter 14
Plagiarism Checking
Chapter 16 →
Content Pipeline Project