| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.413 | | leniency | 0.826 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 5496 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "perfectly" | | 2 | "carefully" | | 3 | "very" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 64.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 5496 | | totalAiIsms | 39 | | found | | | highlights | | 0 | "shattered" | | 1 | "weight" | | 2 | "flicked" | | 3 | "silence" | | 4 | "tension" | | 5 | "flickered" | | 6 | "ensure" | | 7 | "output" | | 8 | "complex" | | 9 | "standard" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 1 | | found | | 0 | | label | "room fell silent" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 3 |
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| | highlights | | 0 | "The room went silent" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 1078 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 10 | | hedgeCount | 3 | | narrationSentences | 1078 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 1078 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 115 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 73 | | markdownWords | 167 | | totalWords | 5551 | | ratio | 0.03 | | matches | | 0 | "Analyze the Request:" | | 1 | "Role:" | | 2 | "Task:" | | 3 | "Genre:" | | 4 | "Length:" | | 5 | "Format:" | | 6 | "Constraints:" | | 7 | "in medias res" | | 8 | "Crucial Instruction:" | | 9 | "Crucial Constraint:" | | 10 | "Crucial Constraint:" | | 11 | "Crucial Constraint:" | | 12 | "Crucial Constraint:" | | 13 | "Crucial Constraint:" | | 14 | "Crucial Constraint:" | | 15 | "Character & Setting Check:" | | 16 | "Protagonist:" | | 17 | "Setting:" | | 18 | "Mentor:" | | 19 | "Prompt Requirement:" | | 20 | "Conflict:" | | 21 | "Style & Formatting:" | | 22 | "British English:" | | 23 | "No Em-dashes:" | | 24 | "Dialogue:" | | 25 | "Adjective Order:" | | 26 | "Active Voice:" | | 27 | "Start:" | | 28 | "End:" | | 29 | "Drafting Plan:" | | 30 | "Opening:" | | 31 | "Scene:" | | 32 | "Dynamic:" | | 33 | "Silas:" | | 34 | "Climax:" | | 35 | "Ending:" | | 36 | "Word Count:" | | 37 | "Reviewing Constraints:" | | 38 | "Constraint:" | | 39 | "Constraint:" | | 40 | "Constraint:" | | 41 | "Constraint:" | | 42 | "Writing:" | | 43 | "(Self-Correction during drafting)" | | 44 | "(Self-Correction on Adjectives)" | | 45 | "(Self-Correction on Ending)" | | 46 | "(Self-Correction on Word Count)" | | 47 | "(Self-Correction on Character)" | | 48 | "(Wait, check instructions again)" | | 49 | "(Wait, check instruction)" | | 50 | "(Wait, check instruction)" | | 51 | "(Wait, check instruction)" | | 52 | "(Wait, check instruction)" | | 53 | "(Wait, check instruction)" | | 54 | "(Word Count Check)" | | 55 | "(Adjective Check)" | | 56 | "(Voice Check)" | | 57 | "(Start)" | | 58 | "(End)" | | 59 | "(Wait, one more thing)" | | 60 | "(Wait, one more thing)" | | 61 | "(Wait, one more thing)" | | 62 | "(Wait, one more thing)" | | 63 | "(Wait, one more thing)" | | 64 | "(Wait, one more thing)" | | 65 | "(Wait, one more thing)" | | 66 | "(Wait, one more thing)" | | 67 | "(Wait, one more thing)" | | 68 | "(Wait, one more thing)" | | 69 | "(Wait, one more thing)" | | 70 | "(Wait, one more thing)" | | 71 | "(Wait, one more thing)" | | 72 | "(Wait, one more thing)" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 2 | | matches | | 0 | "You are late, Rory said. She kept her eyes on the empty table." | | 1 | "It has been three years, Julian said. The words hung in the air." |
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| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 415 | | wordCount | 5220 | | uniqueNames | 64 | | maxNameDensity | 1.38 | | worstName | "Julian" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Wait" | | discoveredNames | | Rory | 43 | | Cardiff | 17 | | Julian | 72 | | Silas | 54 | | Evan | 15 | | London | 3 | | Process | 1 | | Expert | 1 | | Literary | 2 | | Fiction | 2 | | Write | 1 | | Dark | 1 | | Prose | 1 | | Start | 4 | | Avoid | 3 | | End | 4 | | British | 2 | | English | 2 | | Flesch | 1 | | Royal | 1 | | Order | 2 | | Adjectives | 2 | | Active | 2 | | Dialogue | 4 | | Standalone | 2 | | Character | 3 | | Codex | 8 | | Aurora | 2 | | Carter | 2 | | Blackwood | 2 | | Raven | 4 | | Nest | 4 | | Setting | 2 | | Soho | 1 | | Using | 1 | | Colour | 2 | | Opinion | 1 | | Size | 1 | | Age | 1 | | Shape | 1 | | Origin | 1 | | Material | 1 | | Purpose | 1 | | Cliffhanger | 1 | | Glass | 1 | | Tension | 1 | | Presence | 1 | | Ensure | 1 | | Check | 7 | | Distinctive | 1 | | Word | 3 | | Okay | 2 | | Have | 1 | | Count | 3 | | Keep | 1 | | You | 51 | | Hazel | 3 | | Maps | 4 | | Reasons | 5 | | Don | 11 | | Wait | 23 | | Giving | 3 | | Proof | 3 | | Do | 9 |
| | persons | | 0 | "Rory" | | 1 | "Julian" | | 2 | "Silas" | | 3 | "Avoid" | | 4 | "English" | | 5 | "Dialogue" | | 6 | "Aurora" | | 7 | "Carter" | | 8 | "Blackwood" | | 9 | "Raven" | | 10 | "Nest" | | 11 | "Setting" | | 12 | "Using" | | 13 | "Colour" | | 14 | "Opinion" | | 15 | "Size" | | 16 | "Age" | | 17 | "Shape" | | 18 | "Glass" | | 19 | "Have" | | 20 | "Keep" | | 21 | "You" | | 22 | "Maps" | | 23 | "Reasons" |
| | places | | 0 | "Cardiff" | | 1 | "Evan" | | 2 | "London" | | 3 | "Write" | | 4 | "Dark" | | 5 | "End" | | 6 | "Codex" | | 7 | "Soho" | | 8 | "Ensure" | | 9 | "Count" |
| | globalScore | 0.81 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 248 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a crescent" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 5551 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 1078 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 780 | | mean | 7.12 | | std | 13.23 | | cv | 1.859 | | sampleLengths | | 0 | 21 | | 1 | 22 | | 2 | 12 | | 3 | 27 | | 4 | 2 | | 5 | 35 | | 6 | 30 | | 7 | 20 | | 8 | 4 | | 9 | 32 | | 10 | 12 | | 11 | 5 | | 12 | 33 | | 13 | 12 | | 14 | 3 | | 15 | 23 | | 16 | 23 | | 17 | 9 | | 18 | 1 | | 19 | 10 | | 20 | 4 | | 21 | 13 | | 22 | 6 | | 23 | 4 | | 24 | 4 | | 25 | 30 | | 26 | 5 | | 27 | 20 | | 28 | 6 | | 29 | 13 | | 30 | 3 | | 31 | 1 | | 32 | 14 | | 33 | 3 | | 34 | 9 | | 35 | 16 | | 36 | 8 | | 37 | 4 | | 38 | 4 | | 39 | 1 | | 40 | 20 | | 41 | 5 | | 42 | 19 | | 43 | 4 | | 44 | 23 | | 45 | 9 | | 46 | 5 | | 47 | 23 | | 48 | 24 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 10 | | totalSentences | 1078 | | matches | | 0 | "was gone" | | 1 | "was folded" | | 2 | "was gone" | | 3 | "was lost" | | 4 | "was gone" | | 5 | "were tinted" | | 6 | "was gone" | | 7 | "was gone" | | 8 | "is established" | | 9 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 1273 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 1078 | | ratio | 0.001 | | matches | | 0 | "* **No Em-dashes:** I must scan for \"—\" and replace with commas or full stops." |
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| 90.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 3325 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 171 | | adverbRatio | 0.05142857142857143 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.002406015037593985 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 1078 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 1078 | | mean | 5.15 | | std | 5.89 | | cv | 1.143 | | sampleLengths | | 0 | 7 | | 1 | 14 | | 2 | 5 | | 3 | 8 | | 4 | 9 | | 5 | 4 | | 6 | 8 | | 7 | 3 | | 8 | 3 | | 9 | 6 | | 10 | 8 | | 11 | 7 | | 12 | 2 | | 13 | 6 | | 14 | 7 | | 15 | 12 | | 16 | 10 | | 17 | 9 | | 18 | 4 | | 19 | 7 | | 20 | 10 | | 21 | 5 | | 22 | 5 | | 23 | 5 | | 24 | 5 | | 25 | 4 | | 26 | 5 | | 27 | 3 | | 28 | 5 | | 29 | 5 | | 30 | 5 | | 31 | 2 | | 32 | 7 | | 33 | 6 | | 34 | 6 | | 35 | 5 | | 36 | 4 | | 37 | 5 | | 38 | 9 | | 39 | 5 | | 40 | 6 | | 41 | 4 | | 42 | 2 | | 43 | 10 | | 44 | 3 | | 45 | 2 | | 46 | 2 | | 47 | 5 | | 48 | 5 | | 49 | 9 |
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| 39.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 113 | | diversityRatio | 0.08085501858736059 | | totalSentences | 1076 | | uniqueOpeners | 87 | |
| 8.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 809 | | matches | | 0 | "Too much weight on the" | | 1 | "Too much weight on the" |
| | ratio | 0.002 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 446 | | totalSentences | 809 | | matches | | 0 | "He wore a dark coat" | | 1 | "His face held a hard" | | 2 | "You’re late, Rory said." | | 3 | "She kept her eyes on" | | 4 | "You’re still here." | | 5 | "He moved like he used" | | 6 | "He wiped a glass with" | | 7 | "He kept his right hand" | | 8 | "You left without a word." | | 9 | "It scraped against the wood." | | 10 | "I had my reasons." | | 11 | "His elbows hit the table." | | 12 | "He stared at her hands." | | 13 | "Her left wrist was bare." | | 14 | "She had covered it with" | | 15 | "It’s been three years, Julian" | | 16 | "I didn’t hear from you." | | 17 | "He walked towards the bar" | | 18 | "His left leg dragged slightly." | | 19 | "He didn’t look at the" |
| | ratio | 0.551 | |
| 44.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 673 | | totalSentences | 809 | | matches | | 0 | "The glass shattered against the" | | 1 | "A sliver of glass caught" | | 2 | "Julian stood in the doorway." | | 3 | "He wore a dark coat" | | 4 | "His face held a hard" | | 5 | "You’re late, Rory said." | | 6 | "She kept her eyes on" | | 7 | "You’re still here." | | 8 | "Julian stepped inside." | | 9 | "The floorboards creaked under his" | | 10 | "He moved like he used" | | 11 | "Silas looked up from the" | | 12 | "He wiped a glass with" | | 13 | "Hazel eyes flicked to the" | | 14 | "He kept his right hand" | | 15 | "The bar smelled of stale" | | 16 | "Maps covered the walls." | | 17 | "You left without a word." | | 18 | "Julian pulled a chair out." | | 19 | "It scraped against the wood." |
| | ratio | 0.832 | |
| 80.35% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 13 | | totalSentences | 809 | | matches | | 0 | "Now you can." | | 1 | "Because I heard something." | | 2 | "Because I couldn’t." | | 3 | "Because the man is here." | | 4 | "Now you leave." | | 5 | "To the flat." | | 6 | "Because he’s not the only" | | 7 | "Now you can." | | 8 | "Because I couldn't." | | 9 | "Because he's the one who" | | 10 | "Now you can. Julian reached" | | 11 | "Because I could not." | | 12 | "Because he is the one" |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 1 | | matches | | 0 | "*(Voice Check)*: Julian needs to sound like an old friend who has regressed. Rory needs to sound cool. Silas needs to sound authoritative." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "* Dialogue reveals (reveal)" |
| | dialogueSentences | 46 | | tagDensity | 0.022 | | leniency | 0.043 | | rawRatio | 1 | | effectiveRatio | 0.043 | |