| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 24 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.90% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1614 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 31.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1614 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "pulse" | | 1 | "echoing" | | 2 | "footsteps" | | 3 | "echoed" | | 4 | "glinting" | | 5 | "jaw clenched" | | 6 | "shimmered" | | 7 | "scanning" | | 8 | "flickered" | | 9 | "thundered" | | 10 | "velvet" | | 11 | "silk" | | 12 | "pulsed" | | 13 | "depths" | | 14 | "trembled" | | 15 | "unreadable" | | 16 | "flicked" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 188 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 188 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 204 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1597 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1520 | | uniqueNames | 7 | | maxNameDensity | 1.38 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 21 | | Veil | 2 | | Market | 2 | | Morris | 2 | | Herrera | 1 | | Bloodwell | 1 | | Tomás | 7 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Morris" | | 3 | "Herrera" | | 4 | "Tomás" |
| | places | (empty) | | globalScore | 0.809 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 133 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1597 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 204 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 26.18 | | std | 18.68 | | cv | 0.713 | | sampleLengths | | 0 | 23 | | 1 | 75 | | 2 | 52 | | 3 | 41 | | 4 | 55 | | 5 | 75 | | 6 | 41 | | 7 | 37 | | 8 | 8 | | 9 | 20 | | 10 | 10 | | 11 | 18 | | 12 | 3 | | 13 | 8 | | 14 | 46 | | 15 | 29 | | 16 | 28 | | 17 | 39 | | 18 | 4 | | 19 | 32 | | 20 | 41 | | 21 | 60 | | 22 | 46 | | 23 | 41 | | 24 | 53 | | 25 | 58 | | 26 | 7 | | 27 | 5 | | 28 | 11 | | 29 | 10 | | 30 | 28 | | 31 | 11 | | 32 | 10 | | 33 | 4 | | 34 | 7 | | 35 | 50 | | 36 | 33 | | 37 | 20 | | 38 | 5 | | 39 | 20 | | 40 | 8 | | 41 | 21 | | 42 | 6 | | 43 | 10 | | 44 | 24 | | 45 | 26 | | 46 | 38 | | 47 | 29 | | 48 | 41 | | 49 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 188 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 324 | | matches | (empty) | |
| 58.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 204 | | ratio | 0.029 | | matches | | 0 | "She’d heard whisperings—vanished souls, demons in disguise, bargains written in blood." | | 1 | "The suspect—hooded, panting—strained against a man in a blood-splattered smock." | | 2 | "The pool’s surface stretched and tore as something surfaced—long limbs coated in ichor, eyeless face dripping." | | 3 | "Beyond lay another archway—an exit corridor." | | 4 | "Inside lay a single bone token—plucked from a procession she’d interrupted months ago, tucked away for emergencies." | | 5 | "A voice hissed from behind the archway—unfamiliar, cold, eager." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1537 | | adjectiveStacks | 1 | | stackExamples | | 0 | "against rain-slicked asphalt" |
| | adverbCount | 30 | | adverbRatio | 0.01951854261548471 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.007807417046193884 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 204 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 204 | | mean | 7.83 | | std | 4.39 | | cv | 0.561 | | sampleLengths | | 0 | 12 | | 1 | 11 | | 2 | 18 | | 3 | 16 | | 4 | 18 | | 5 | 7 | | 6 | 7 | | 7 | 9 | | 8 | 8 | | 9 | 7 | | 10 | 8 | | 11 | 8 | | 12 | 10 | | 13 | 11 | | 14 | 9 | | 15 | 8 | | 16 | 11 | | 17 | 13 | | 18 | 10 | | 19 | 9 | | 20 | 7 | | 21 | 5 | | 22 | 7 | | 23 | 17 | | 24 | 10 | | 25 | 13 | | 26 | 12 | | 27 | 20 | | 28 | 20 | | 29 | 8 | | 30 | 2 | | 31 | 3 | | 32 | 11 | | 33 | 11 | | 34 | 6 | | 35 | 6 | | 36 | 9 | | 37 | 7 | | 38 | 6 | | 39 | 9 | | 40 | 8 | | 41 | 7 | | 42 | 13 | | 43 | 7 | | 44 | 3 | | 45 | 3 | | 46 | 7 | | 47 | 8 | | 48 | 3 | | 49 | 5 |
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| 49.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3382352941176471 | | totalSentences | 204 | | uniqueOpeners | 69 | |
| 37.88% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 176 | | matches | | 0 | "Only two hearts pounded in" | | 1 | "Only the hum of unseen" |
| | ratio | 0.011 | |
| 85.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 59 | | totalSentences | 176 | | matches | | 0 | "Her pulse hammered against rain-slicked" | | 1 | "She forced herself to breathe" | | 2 | "She risked a glance over" | | 3 | "It swung open onto a" | | 4 | "She flinched at the glare," | | 5 | "Her suspect slipped through a" | | 6 | "He handed a small bone" | | 7 | "She’d heard whisperings—vanished souls, demons" | | 8 | "She drew in a breath" | | 9 | "She had a job to" | | 10 | "She whirled, gun drawn, to" | | 11 | "His eyes glinted like wet" | | 12 | "He tapped the bone token" | | 13 | "he said, voice low and" | | 14 | "she ordered, jingling her badge" | | 15 | "She’d never needed tokens on" | | 16 | "She advanced, hand curled around" | | 17 | "He raised a bony finger." | | 18 | "She pivoted, scanning for an" | | 19 | "She risked a glance at" |
| | ratio | 0.335 | |
| 42.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 147 | | totalSentences | 176 | | matches | | 0 | "Detective Quinn skidded around a" | | 1 | "Her pulse hammered against rain-slicked" | | 2 | "She forced herself to breathe" | | 3 | "Quinn’s salt-and-pepper hair clung to" | | 4 | "She risked a glance over" | | 5 | "Nothing but empty streets and" | | 6 | "The suspect jammed his shoulder" | | 7 | "It swung open onto a" | | 8 | "Quinn rapped knuckles against steel" | | 9 | "She flinched at the glare," | | 10 | "Graffiti on the walls blurred" | | 11 | "A single loose tile skidded" | | 12 | "Footsteps echoed farther down and" | | 13 | "A faint hum reached her" | | 14 | "Quinn crouched and peered through" | | 15 | "A half-dozen figures haggled over" | | 16 | "The air tasted of damp" | | 17 | "Her suspect slipped through a" | | 18 | "He handed a small bone" | | 19 | "The guard turned the token" |
| | ratio | 0.835 | |
| 85.23% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 176 | | matches | | 0 | "Now the figure in the" | | 1 | "If she waited, he’d slip" | | 2 | "If she ran, she’d lose" |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 2 | | matches | | 0 | "Stalls groaned under twisted curios: a jar of throbbing hearts, an owl feather that whispered names, and metal masks that shifted facial expressions." | | 1 | "She pictured Morris’s wide eyes, saw the darkness that killed him." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice low and gravelly" | | 1 | "he asked, voice smooth as silk" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 24 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.167 | | effectiveRatio | 0.083 | |