| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn knelt again [again]" |
| | dialogueSentences | 46 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0.056 | | effectiveRatio | 0.043 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1548 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 28.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1548 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "rhythmic" | | 1 | "echoing" | | 2 | "scanned" | | 3 | "intricate" | | 4 | "silence" | | 5 | "gleaming" | | 6 | "gloom" | | 7 | "dancing" | | 8 | "perfect" | | 9 | "maw" | | 10 | "vibrated" | | 11 | "resonance" | | 12 | "dance" | | 13 | "whisper" | | 14 | "pulsed" | | 15 | "etched" | | 16 | "resolving" | | 17 | "depths" | | 18 | "shattered" | | 19 | "fluttered" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 117 | | matches | | |
| 81.81% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 117 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1545 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1219 | | uniqueNames | 14 | | maxNameDensity | 1.97 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 24 | | Camden | 1 | | Tube | 1 | | Miller | 9 | | Morris | 1 | | Veil | 2 | | Market | 1 | | Soho | 1 | | Compass | 1 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Eva | 7 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" | | 4 | "Market" | | 5 | "Compass" | | 6 | "Kowalski" | | 7 | "Eva" |
| | places | | | globalScore | 0.516 | | windowScore | 0.5 | |
| 61.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 3 | | matches | | 0 | "paint that seemed to shift when viewed from the corner of her eye" | | 1 | "blackness that seemed to absorb the photons" | | 2 | "stone that seemed to grow from the earth itself" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1545 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 27.11 | | std | 21.86 | | cv | 0.807 | | sampleLengths | | 0 | 15 | | 1 | 82 | | 2 | 25 | | 3 | 33 | | 4 | 5 | | 5 | 26 | | 6 | 8 | | 7 | 65 | | 8 | 15 | | 9 | 74 | | 10 | 4 | | 11 | 32 | | 12 | 19 | | 13 | 1 | | 14 | 69 | | 15 | 8 | | 16 | 35 | | 17 | 6 | | 18 | 35 | | 19 | 42 | | 20 | 15 | | 21 | 29 | | 22 | 8 | | 23 | 76 | | 24 | 16 | | 25 | 2 | | 26 | 49 | | 27 | 8 | | 28 | 4 | | 29 | 60 | | 30 | 12 | | 31 | 5 | | 32 | 9 | | 33 | 5 | | 34 | 86 | | 35 | 13 | | 36 | 49 | | 37 | 15 | | 38 | 43 | | 39 | 35 | | 40 | 29 | | 41 | 23 | | 42 | 23 | | 43 | 9 | | 44 | 32 | | 45 | 24 | | 46 | 12 | | 47 | 2 | | 48 | 41 | | 49 | 18 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 117 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 205 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 145 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1222 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint, sickly green light," |
| | adverbCount | 23 | | adverbRatio | 0.018821603927986905 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.009819967266775777 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 10.66 | | std | 6.58 | | cv | 0.618 | | sampleLengths | | 0 | 15 | | 1 | 21 | | 2 | 18 | | 3 | 15 | | 4 | 17 | | 5 | 3 | | 6 | 8 | | 7 | 12 | | 8 | 13 | | 9 | 9 | | 10 | 1 | | 11 | 1 | | 12 | 22 | | 13 | 5 | | 14 | 14 | | 15 | 12 | | 16 | 8 | | 17 | 7 | | 18 | 4 | | 19 | 15 | | 20 | 6 | | 21 | 12 | | 22 | 21 | | 23 | 10 | | 24 | 5 | | 25 | 34 | | 26 | 16 | | 27 | 24 | | 28 | 4 | | 29 | 24 | | 30 | 8 | | 31 | 8 | | 32 | 11 | | 33 | 1 | | 34 | 17 | | 35 | 12 | | 36 | 13 | | 37 | 8 | | 38 | 3 | | 39 | 9 | | 40 | 7 | | 41 | 8 | | 42 | 4 | | 43 | 13 | | 44 | 18 | | 45 | 6 | | 46 | 27 | | 47 | 8 | | 48 | 10 | | 49 | 17 |
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| 55.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.4068965517241379 | | totalSentences | 145 | | uniqueOpeners | 59 | |
| 30.86% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 108 | | matches | | 0 | "Further down, a tall, gaunt" |
| | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 108 | | matches | | 0 | "She ignored the uniformed officer" | | 1 | "He stepped closer, his shiney" | | 2 | "She scanned the perimeter." | | 3 | "Her worn leather watch ticked" | | 4 | "He looked at the gleaming" | | 5 | "She pulled a small torch" | | 6 | "It started as a tremor," | | 7 | "Her partner had vanished in" | | 8 | "She had dismissed it as" | | 9 | "She reached the edge of" | | 10 | "She passed a vendor selling" | | 11 | "She followed the compass needle" | | 12 | "She argued with a towering" | | 13 | "She locked eyes with the" | | 14 | "She shoved Eva toward the" |
| | ratio | 0.139 | |
| 20.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 108 | | matches | | 0 | "Blood pooled in the rhythmic" | | 1 | "Detective Harlow Quinn crouched beside" | | 2 | "The air tasted of rust" | | 3 | "She ignored the uniformed officer" | | 4 | "A young man, early twenties," | | 5 | "DS Miller said, clicking his" | | 6 | "Quinn ran a gloved finger" | | 7 | "Rigor mortis had set in" | | 8 | "Miller sighed, the sound echoing" | | 9 | "He stepped closer, his shiney" | | 10 | "Quinn stood, her sharp jaw" | | 11 | "She scanned the perimeter." | | 12 | "The shadows here felt heavier" | | 13 | "This wasn't just any squatter's" | | 14 | "The graffiti on the walls" | | 15 | "Someone had painted intricate, swirling" | | 16 | "Miller suggested, pulling out his" | | 17 | "Quinn walked a slow circle" | | 18 | "Her worn leather watch ticked" | | 19 | "Quinn pointed to the victim's" |
| | ratio | 0.88 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 108 | | matches | | 0 | "Now, standing in the throat" | | 1 | "Yet, the compass glowed with" | | 2 | "To them, she was invisible." |
| | ratio | 0.028 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 6 | | matches | | 0 | "A young man, early twenties, dressed in expensive charcoal wool that cost more than Quinn's monthly rent." | | 1 | "The light died after ten feet, swallowed by an absolute, unnatural blackness that seemed to absorb the photons." | | 2 | "It started as a tremor, barely noticeable, then grew into a thrumming resonance that rattled her teeth." | | 3 | "Further down, a tall, gaunt figure with skin like cracked parchment haggled over a bundle of dried roots that twitched in his hand." | | 4 | "Eva screamed, backing into Quinn, her satchel spilling books onto the ground." | | 5 | "The pages fluttered open, revealing diagrams of rituals that matched the scorch marks on the station floor." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 8 | | matches | | 0 | "Quinn stood, her sharp jaw tightening" | | 1 | "Quinn pointed, the fabric turned inside out" | | 2 | "Quinn knelt again, this time inspecting the ground beneath the body" | | 3 | "Quinn asked, her hand drifting to the holster at her hip" | | 4 | "Quinn said, her voice dropping to a whisper" | | 5 | "the shadow figure rumbled, its voice sounding like grinding stones" | | 6 | "Quinn stated, her voice steady despite the chaos erupting around them" | | 7 | "Eva grabbed, her grip iron-tight" |
| |
| 63.04% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "Miller suggested (suggest)" | | 1 | "Miller noted (note)" | | 2 | "Quinn stated (state)" | | 3 | "the shadow corrected (correct)" |
| | dialogueSentences | 46 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.5 | | effectiveRatio | 0.174 | |