What It Fixes
The Editor identifies and fixes common AI content problems:- Generic sentences that could apply to any topic
- Lack of specific examples with concrete details
- Robotic transitions and formulaic structure
- Missing personality and human perspective
- Corporate speak and buzzwords
- Passive voice dominance
- Weak conclusions that just summarize
The Problem It Solves
AI-generated content often suffers from: Robotic patterns:- “In today’s digital landscape…”
- “When it comes to…”
- “It’s important to note that…”
- “Furthermore, moreover, additionally…”
- “Many businesses struggle with growth”
- “Recently, trends have shown…”
- “This is important for success”
- No personality or point of view
- No real-world examples with names/dates
- No humor or unexpected perspectives
- Reads like a textbook, not a conversation
Analysis Framework
1. Humanity Check
Red Flags (what to fix):- Generic openings (“In the world of…”, “When it comes to…”)
- Overuse of transition words (“Furthermore”, “Moreover”)
- Formulaic structures (every section starts same way)
- Lack of contractions (“do not” vs “don’t”)
- Passive voice dominance
- Abstract concepts without concrete examples
- Corporate speak (“leverage”, “utilize”, “synergy”)
- Hedging language (“may”, “might”, “could potentially”)
- Specific, vivid examples from real scenarios
- Conversational asides and parentheticals
- Varied sentence structure and rhythm
- Personal observations or insights
- Humor, personality, or unexpected perspectives
- Direct address (“you’ve probably noticed…”)
- Strong opinions or clear stances
- Stories, analogies, and metaphors
2. Readability Analysis
Sentence Level:- Average sentence length (target: 15-20 words)
- Sentence variety (mix short punchy with longer flowing)
- Active vs passive voice (aim for 80%+ active)
- Mix of simple and complex sentences
- Paragraph length (2-4 sentences ideal)
- Opening sentence strength (hooks or bores?)
- Logical flow between sentences
- One clear idea per paragraph
- Section openings (compelling or formulaic?)
- Transitions between sections (smooth or clunky?)
- Balance of explanation, example, application
- Pacing (drags or rushes?)
3. Specificity & Examples
Quality Spectrum: ❌ Vague: “Many businesses struggle with growth.” ⚠️ Generic: “Companies often find it difficult to acquire customers.” ✅ Specific: “When Sarah launched her SaaS product, she spent six months stuck at 200 signups per month.” ⭐ Compelling: “When Sarah launched her SaaS product in March 2023, she spent six months stuck at 200 signups per month, until she discovered her landing page was invisible to search engines because she was using a framework that buried content behind client-side rendering.”4. Engagement & Flow
Opening Analysis:- First sentence: Grabs attention or wastes it?
- First paragraph: Promises clear value?
- Makes you want to keep reading?
- Provocative question
- Specific scenario with name/details
- Surprising statistic
- Bold/counterintuitive statement
- NOT “X is…” definitions
- NOT “When it comes to…” / “In the world of…”
- Sections connect logically?
- Transitions smooth and natural?
- Article builds momentum?
- Any “boring valleys” needing punch-up?
- Mini-Stories: 2-3 specific scenarios with names, dates, outcomes
- Early CTA: Within first 500 words
- Contextual CTAs: 2-3 throughout (not just at end)
- Short paragraphs: None longer than 4 sentences
- Sentence rhythm: Mix short (5-10 words) with longer (15-25 words)
- Adds new value or just summarizes?
- Clear, specific next action?
- Ends with energy or peters out?
Editing Principles
1. Show, Don’t Tell
❌ Before: “Analytics are important for growth.” ✅ After: “Last month, Mike discovered his completion rate dropped to 40% after the 10-minute mark. He cut his content from 45 minutes to 25 minutes. Engagement jumped 30% within a month.”2. Inject Personality
❌ Before: “It’s important to consider your target audience when creating content.” ✅ After: “Here’s the thing about content marketing: You can’t please everyone. (And if you try, you’ll end up pleasing no one.)“3. Kill Corporate Speak
Replace these:- “Leverage” → “Use”
- “Utilize” → “Use”
- “In order to” → “To”
- “Due to the fact that” → “Because”
- “It should be noted that” → Delete entirely
- “Going forward” → “Next” or delete
- “At the end of the day” → “Ultimately” or delete
4. Add Specific Details
Generic → Specific:- “Recently” → “In March 2024” or “Last Tuesday”
- “Many businesses” → “73% of SaaS companies” or “12 of 15 companies I surveyed”
- “Popular tool” → “HubSpot” or “Ahrefs”
- “Good software” → “Specific product name ($99/mo)”
- “Significant increase” → “Doubled from 500 to 1,000 signups/month”
5. Vary Sentence Structure
❌ Monotonous: “You need to research keywords. You should analyze competitors. You must write quality content. You can’t skip optimization.” ✅ Varied: “Start with keyword research. Then dive into competitor analysis—what are they doing right? (More importantly, what are they missing?) Write quality content that fills those gaps. Skip optimization at your peril.”6. Use Conversational Devices
Devices that add humanity:- Parenthetical asides: “(Trust me on this one.)”
- Rhetorical questions: “Sound familiar?”
- Direct address: “You’ve probably noticed…”
- Fragments for emphasis: “No exceptions.”
- Contractions: “don’t”, “you’re”, “it’s”
- Casual connectors: “Look”, “Here’s the thing”, “The truth is”
7. Make Lists Actionable
❌ Generic List:- Keyword research
- Content creation
- SEO optimization
- Performance tracking
- Keyword research: Open Ahrefs and find 5 keywords ranking 11-20 (these are your quick wins)
- Content creation: Write 2,500+ words. Don’t pad it—make every word count.
- SEO optimization: Check your meta description. If it doesn’t make you want to click, rewrite it.
- Performance tracking: Set a Google Analytics alert for pages that drop 20%+ in traffic
Output Format
Structured Scoring Output
For automated quality loops, the agent includes JSON scoring:- humanity (30%): AI phrases, passive voice, contractions, conversational devices
- specificity (25%): Concrete examples, numbers, names vs vague words
- structure_balance (20%): Prose ratio (40-70%), not too many lists
- seo (15%): Keyword placement, meta elements, heading structure
- readability (10%): Flesch score, sentence variety, grade level
When It Runs
The Editor can run:- Manually: Invoke with
@editoragent - In automated loops: Part of quality assurance pipeline
- On request: After
/writeor/optimizecommands
Quality Standards
Every edit must:- Preserve SEO Value: Don’t remove keywords or break optimization
- Maintain Accuracy: No changes to facts, data, or technical details
- Enhance Readability: Make it easier to read
- Add Personality: Inject humanity without being unprofessional
- Stay On Brand: Maintain voice from
context/brand-voice.md - Be Specific: Replace vague with concrete wherever possible
- Respect Structure: Keep H1/H2/H3 hierarchy intact
Best Practices
Specific beats generic every time: “73%” beats “most”, “Tuesday” beats “recently” Show real humans: Use names, scenarios, concrete examples Vary rhythm: Mix short sentences. With longer, flowing ones that provide detail. Cut ruthlessly: If it doesn’t add value, delete it End strong: Never let an article peter out—finish with energy Personality is professional: Being human doesn’t mean being unprofessionalNext Steps
SEO Optimizer
On-page SEO analysis
Content Analyzer
Data-driven quality scoring
Keyword Mapper
Keyword distribution analysis
Meta Creator
High-performing meta elements