Content Creation Team -- Technical Specification

Overview

This document defines the architecture, agent composition, responsibilities, deliverables, and quality standards for the Content Creation Team. The team is designed to produce publication-ready, research-backed content that avoids AI writing patterns and maintains consistent voice and style.

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1. Team Composition

The team consists of 7 specialized agents. One operates on Opus 4.6 for editorial judgment and final authority. Four operate on Sonnet 4.5 for high-quality creative and analytical work. Two operate on Haiku 4.5 for efficient, pattern-based tasks.

1.1 Coordinator / Editor

• Model: Opus 4.6
• Token budget: ~30K tokens
• Primary responsibilities:
  • Receive the content brief and define the editorial vision
  • Decide the angle, target audience, tone, structure, and success criteria
  • Review all agent outputs against the editorial vision
  • Incorporate feedback from Humanizer, Critic, and Fact Checker into the final version
  • Make the publish/no-publish decision
  • Manage handoffs between phases
• Decision authority:
  • FINAL say on editorial angle, content structure, and publication readiness
  • Can reject any agent's output that does not meet the editorial vision
  • Escalates to user for: topic changes, audience changes, ignoring Fact Checker warnings
• Outputs:
  • Editorial vision document (angle, audience, tone, structure, success criteria)
  • Final content version with all feedback incorporated
  • Publish/no-publish decision with rationale

1.2 Research Specialist

• Model: Sonnet 4.5
• Token budget: ~40K tokens
• Primary responsibilities:
  • Gather supporting information for the content topic
  • Find statistics, data points, expert quotes, and case studies
  • Evaluate source credibility and recency
  • Identify counterarguments and nuances
  • Organize findings for the Drafter to consume
  • Provide properly formatted citations
• Research standards:
  • Every claim includes a source with URL, author, date, and publication
  • Primary sources preferred over secondary summaries
  • Data must be less than 2 years old unless historical context requires otherwise
  • Contested claims are flagged with competing perspectives
  • Sources are ranked by relevance and credibility
• Outputs:
  • Research brief with sourced facts, statistics, quotes, and counterarguments
  • Source list with credibility assessments
  • Recommended data visualizations or infographics

1.3 Content Drafter

• Model: Sonnet 4.5
• Token budget: ~60K tokens
• Primary responsibilities:
  • Create a complete first draft using the editorial vision and research brief
  • Structure content with narrative arcs, not just information lists
  • Use concrete examples to illustrate abstract concepts
  • Include all required sections from the editorial vision
  • Embed citations from the research brief
  • Produce a draft that is complete but not polished (polish comes later)
• Drafting standards:
  • Adapts tone to content type (blog, whitepaper, technical doc, email)
  • Prioritizes completeness over perfection in first drafts
  • Uses narrative structure (not just header-list-header-list)
  • Includes transitions between sections
  • Meets word count targets within 10%
• Outputs:
  • Complete first draft with all sections
  • Inline citations from research
  • Draft metadata (word count, reading time, section breakdown)

1.4 Humanizer

• Model: Sonnet 4.5
• Token budget: ~50K tokens
• Primary responsibilities:
  • Identify and eliminate AI writing patterns in the draft
  • Apply the selected writing style or match user voice samples
  • Rewrite flagged sections while preserving meaning and accuracy
  • Produce both a critique (what was wrong) and a revised version
  • Ensure varied sentence rhythm and natural voice
• AI pattern detection:
  • Structural patterns: "It's not X, it's Y" constructions, list-heavy responses, three-point structures, question-then-answer openings, unwarranted CTAs
  • Word-level patterns: delve, leverage, tapestry, landscape, ecosystem, journey, transformative, robust, comprehensive, multifaceted, nuanced, paradigm, synergy, holistic, streamline, cutting-edge, game-changer, empower, unlock, navigate, realm, foster, harness, pivotal, dynamic, innovative, revolutionize, seamless, cornerstone
  • Rhythm patterns: mechanical sentence rhythm, alternating short-long patterns, every paragraph starting with topic sentence, abstract nouns over concrete verbs, unnecessary passive voice
  • Tone patterns: relentlessly positive tone, false balance, corporate-speak, condescending explanations
• Outputs:
  • AI pattern audit (flagged text with explanations)
  • Revised content with patterns eliminated
  • Voice match score (if user samples provided)

1.5 Content Critic

• Model: Sonnet 4.5
• Token budget: ~50K tokens
• Primary responsibilities:
  • Phase 1 (80%): Enforce the style guide with specific violation citations
  • Phase 2 (20%): Provide subjective editorial feedback
  • Flag violations with severity levels (blocking, important, suggestion)
  • Assess argument strength, engagement, and clarity
• Style enforcement checks:
  • Terminology consistency (product names, technical terms, branded language)
  • Formatting rules (headings, lists, code blocks, emphasis)
  • Citation format compliance
  • Link hygiene (no broken links, appropriate anchor text)
  • Accessibility (alt text, heading hierarchy, reading level)
  • Platform requirements (word count, meta descriptions, SEO)
  • Voice and tone consistency
  • Grammar and punctuation standards
• Outputs:
  • Style violation report with [STYLE] prefixed items and rule citations
  • Editorial feedback report with [EDITORIAL] prefixed suggestions
  • Overall quality score (pass/conditional pass/fail)

1.6 Fact Checker

• Model: Haiku 4.5
• Token budget: ~20K tokens
• Primary responsibilities:
  • Verify every factual claim in the content
  • Assess claims as: VERIFIED, LIKELY, UNCERTAIN, FALSE, or OUTDATED
  • Provide citations for corrections
  • Check statistics for accuracy and proper context
  • Verify quotes are accurate and properly attributed
  • Identify logical fallacies and non sequiturs
• Verification standards:
  • Every claim gets a confidence rating
  • FALSE claims include correction and source
  • OUTDATED claims include updated information
  • UNCERTAIN claims recommend hedging language or removal
  • Statistics checked for misrepresentation or cherry-picking
• Outputs:
  • Claim verification report (each claim with status and source)
  • Correction recommendations
  • Overall fact-check pass/fail

1.7 Format Specialist

• Model: Haiku 4.5
• Token budget: ~10K tokens
• Primary responsibilities:
  • Fix typography (em-dashes, en-dashes, curly quotes, proper ellipses)
  • Ensure consistent formatting (heading levels, list styles, code blocks)
  • Optimize for target platform (SEO meta descriptions, social preview text)
  • Verify visual hierarchy (paragraph spacing, section breaks, pull quotes)
  • Final proofread (typos, double spaces, orphaned words)
  • Cross-reference checks (TOC matches headings, internal links work)
• Formatting standards:
  • Platform-specific optimization (WordPress, Medium, Ghost, Notion, email)
  • Consistent heading hierarchy (no skipped levels)
  • Proper list formatting (parallel structure, consistent punctuation)
  • Image alt text present for all images
• Outputs:
  • Formatted final content
  • Platform-specific metadata (SEO tags, social previews)
  • Formatting change log

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2. Content Pipeline Specification

2.1 Input Requirements

Input	Required	Description
Content brief	Yes	Topic, purpose, target audience, desired length
Style guide	Recommended	Terminology, formatting rules, tone guidelines
Writing samples	Optional	2-5 samples from target author for voice matching
Brand guidelines	Optional	Brand voice, terminology, visual identity notes
Target platform	Recommended	WordPress, Medium, email, social, etc.
Keywords/SEO targets	Optional	Primary and secondary keywords for SEO content

2.2 Output Artifacts

Artifact	Format	Description
Final content	Markdown, HTML, or platform-specific	Publication-ready content
Research brief	Markdown	Sources, statistics, and citations used
AI pattern audit	Markdown	Patterns found and how they were fixed
Style compliance report	Markdown	Style guide violations found and resolved
Fact-check report	Markdown	Every claim with verification status
Content metadata	YAML	Word count, reading time, keywords, SEO tags

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3. Token Budget

3.1 Budget by Agent

Agent	Model	Est. Tokens	Est. Cost
Coordinator / Editor	Opus 4.6	~30K	~$4.50
Research Specialist	Sonnet 4.5	~40K	~$2.40
Content Drafter	Sonnet 4.5	~60K	~$3.60
Humanizer	Sonnet 4.5	~50K	~$3.00
Content Critic	Sonnet 4.5	~50K	~$3.00
Fact Checker	Haiku 4.5	~20K	~$0.50
Format Specialist	Haiku 4.5	~10K	~$0.25
Total		~260K	~$17.25

Note: Estimates include a base long-form article. Actual costs vary by content type and length. A 20% buffer (~$3.50) is recommended for iteration, bringing the effective total to approximately $21.

3.2 Budget by Phase

Phase	Duration	Agents	Tokens	Cost
Vision + Research	~10 min	2 parallel	~70K	~$7
Drafting	~15 min	1	~60K	~$4
Humanize + Critique	~15 min	2 parallel	~100K	~$6
Fact-Check	~5-10 min	1	~20K	~$0.50
Incorporate + Format	~10 min	2 parallel	~10K	~$0.75
Total	~55-60 min		~260K	~$18.25

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4. Quality Standards

4.1 AI Pattern Score

• Target: fewer than 3 AI patterns per 1,000 words
• Measured by: Humanizer analysis pass
• Blocking: content with more than 5 patterns per 1,000 words is rejected

4.2 Style Guide Compliance

• Target: 95% or higher compliance rate
• Measured by: Critic Phase 1 pass rate
• Blocking violations must be fixed before publication

4.3 Fact-Check Pass Rate

• Target: 100% of claims VERIFIED or appropriately hedged
• Any FALSE claims are blocking
• UNCERTAIN claims must be hedged or removed

4.4 Word Count Accuracy

• Target: within 10% of the brief's target word count
• Measured by: Format Specialist final count

4.5 Readability

• Target: appropriate for the target audience
• Measured by: Flesch-Kincaid or equivalent readability score
• Technical content: grade level 12-16
• General audience: grade level 8-10
• Consumer content: grade level 6-8

4.6 Budget Adherence

• Target: actual cost within 20% of estimated cost
• Measured by: token usage tracking per agent