| 93.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 4 | | adverbTags | | 0 | "She stepped back [back]" | | 1 | "He gestured vaguely [vaguely]" | | 2 | "she asked quietly [quietly]" | | 3 | "he said quietly [quietly]" |
| | dialogueSentences | 75 | | tagDensity | 0.36 | | leniency | 0.72 | | rawRatio | 0.148 | | effectiveRatio | 0.107 | |
| 87.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1975 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "reluctantly" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "reluctantly" | | 1 | "precisely" | | 2 | "sharply" | | 3 | "quickly" | | 4 | "slowly" |
| |
| 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) | |
| 39.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1975 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "weight" | | 1 | "flicked" | | 2 | "fractured" | | 3 | "pulse" | | 4 | "familiar" | | 5 | "gleaming" | | 6 | "sentinel" | | 7 | "unsettled" | | 8 | "scanned" | | 9 | "stomach" | | 10 | "charm" | | 11 | "pulsed" | | 12 | "flicker" | | 13 | "predator" | | 14 | "vibrated" | | 15 | "whisper" | | 16 | "flickered" | | 17 | "trembled" | | 18 | "tension" | | 19 | "warmth" | | 20 | "reminder" | | 21 | "silk" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
| | 2 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "stomach dropped" | | 1 | "clenched into fists" | | 2 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 171 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 171 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 219 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 3 | | totalWords | 1957 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 29 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.38% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1492 | | uniqueNames | 14 | | maxNameDensity | 1.07 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 9 | | Aurora | 16 | | Docs | 1 | | Golden | 1 | | Empress | 1 | | Ptolemy | 6 | | French | 1 | | Lucien | 16 | | Evan | 4 | | Cardiff | 2 | | Welsh | 1 | | Berlin | 1 | | Friday | 1 | | Whitechapel | 1 |
| | persons | | 0 | "Eva" | | 1 | "Aurora" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Evan" |
| | places | | 0 | "Golden" | | 1 | "Cardiff" | | 2 | "Welsh" | | 3 | "Berlin" |
| | globalScore | 0.964 | | windowScore | 1 | |
| 44.74% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 95 | | glossingSentenceCount | 4 | | matches | | 0 | "sounded like surrender" | | 1 | "as if measuring gaps with his eyes" | | 2 | "tasted like rust" | | 3 | "appeared beside hers in the grimy windowpane" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.511 | | wordCount | 1957 | | matches | | 0 | "not from fear, but from the old fury" |
| |
| 90.56% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 5 | | totalSentences | 219 | | matches | | 0 | "hated that she remembered that tone" | | 1 | "said that name" | | 2 | "chose that moment" | | 3 | "chose that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 105 | | mean | 18.64 | | std | 16.62 | | cv | 0.892 | | sampleLengths | | 0 | 77 | | 1 | 6 | | 2 | 22 | | 3 | 24 | | 4 | 10 | | 5 | 21 | | 6 | 17 | | 7 | 12 | | 8 | 3 | | 9 | 1 | | 10 | 61 | | 11 | 6 | | 12 | 49 | | 13 | 55 | | 14 | 3 | | 15 | 15 | | 16 | 20 | | 17 | 13 | | 18 | 36 | | 19 | 5 | | 20 | 2 | | 21 | 16 | | 22 | 20 | | 23 | 72 | | 24 | 6 | | 25 | 12 | | 26 | 23 | | 27 | 33 | | 28 | 36 | | 29 | 6 | | 30 | 1 | | 31 | 2 | | 32 | 6 | | 33 | 4 | | 34 | 5 | | 35 | 9 | | 36 | 47 | | 37 | 12 | | 38 | 5 | | 39 | 7 | | 40 | 64 | | 41 | 15 | | 42 | 16 | | 43 | 31 | | 44 | 60 | | 45 | 18 | | 46 | 25 | | 47 | 2 | | 48 | 12 | | 49 | 48 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 171 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 275 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 21 | | semicolonCount | 0 | | flaggedSentences | 18 | | totalSentences | 219 | | ratio | 0.082 | | matches | | 0 | "Ptolemy’s tail flicked from the armchair—silent judge, as ever—before he stretched and sauntered to the kitchen in that deliberate, offended way cats have when they’ve been left too long." | | 1 | "The knock came again—heavier this time, impatient." | | 2 | "Not without a call, not without a reason, not without—" | | 3 | "Not a hesitation—an appraisal." | | 4 | "Then more—tailored wool trousers, a cane with an ivory grip that caught the light like a sliver of bone, the hand resting atop it gleaming with a faint citrine ring." | | 5 | "The precision of it—like a ledger entry, not a man." | | 6 | "The charcoal suit clung to shoulders broader than she recalled, the platinum hair slicked back farther than she’d ever seen it, exposing the ruin of one ear—lobe notched from some old scuffle." | | 7 | "Lucien’s gaze flicked to the cat, then to the scroll, then finally to the dishtowel draped over the oven handle—still damp, clinging to the edge like a flag of domestic truce Aurora hadn’t intended to fly." | | 8 | "The move lifted the hem of her hoodie enough to expose the bruise again—the one Evan had pressed there like a seal before she’d fled Cardiff with nothing but a rucksack and Eva’s number." | | 9 | "Lucien inhaled deeply—deliberate, like he was cataloging the air for later use." | | 10 | "Instead, he drifted toward the bookshelf—wall to wall, floor to ceiling, packed with hardcovers and scrolls in no discernible order." | | 11 | "Evan’s face flashed across her vision—the weeknight smile, the knuckles turning white around a pint glass, the voice lowering just before the strike." | | 12 | "Unless Eva had been approached in Berlin and—" | | 13 | "She crossed the room in three strides, snatched a flashlight from the windowsill—Eva’s weather charm collection rattled like wind chimes—and yanked open the curtain." | | 14 | "She turned away sharply, busying herself by snatching a glass from the cabinet—Eva’s merlot collection tilted like drunken soldiers—and pouring too quickly." | | 15 | "Just stood there, cane leaning against the counter, eyes tracking the bruise again, the way her fingers trembled—not from fear, but from the old fury." | | 16 | "Then, slowly, his hand settled on the small of her back—just above the scar, just over the muscle still rigid from old tension." | | 17 | "Lucien exhaled—almost a laugh, almost a surrender." |
| |
| 89.31% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1513 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 79 | | adverbRatio | 0.05221414408460013 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.007931262392597489 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 219 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 219 | | mean | 8.94 | | std | 7.23 | | cv | 0.809 | | sampleLengths | | 0 | 20 | | 1 | 28 | | 2 | 29 | | 3 | 6 | | 4 | 7 | | 5 | 5 | | 6 | 10 | | 7 | 13 | | 8 | 11 | | 9 | 7 | | 10 | 3 | | 11 | 6 | | 12 | 1 | | 13 | 4 | | 14 | 10 | | 15 | 11 | | 16 | 6 | | 17 | 12 | | 18 | 3 | | 19 | 1 | | 20 | 18 | | 21 | 7 | | 22 | 13 | | 23 | 2 | | 24 | 21 | | 25 | 6 | | 26 | 2 | | 27 | 4 | | 28 | 16 | | 29 | 27 | | 30 | 10 | | 31 | 15 | | 32 | 30 | | 33 | 3 | | 34 | 3 | | 35 | 12 | | 36 | 11 | | 37 | 9 | | 38 | 10 | | 39 | 3 | | 40 | 6 | | 41 | 10 | | 42 | 20 | | 43 | 5 | | 44 | 2 | | 45 | 4 | | 46 | 12 | | 47 | 20 | | 48 | 16 | | 49 | 32 |
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| 43.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3013698630136986 | | totalSentences | 219 | | uniqueOpeners | 66 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 143 | | matches | | 0 | "Then, the dry chuckle that" | | 1 | "Then more—tailored wool trousers, a" | | 2 | "Instead, he drifted toward the" | | 3 | "Just stood there, cane leaning" | | 4 | "Then, slowly, his hand settled" |
| | ratio | 0.035 | |
| 80.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 143 | | matches | | 0 | "She’d just kicked off her" | | 1 | "She set her bag down" | | 2 | "Her pulse kicked against her" | | 3 | "she said, loud enough to" | | 4 | "Her fingers curled into her" | | 5 | "She exhaled through her nose," | | 6 | "She stepped back, fingers brushing" | | 7 | "he cut in" | | 8 | "Her thumb stilled on the" | | 9 | "She hated that she still" | | 10 | "She turned the key." | | 11 | "She couldn’t decide which unsettled" | | 12 | "His lips quirked." | | 13 | "He fixed Lucien with a" | | 14 | "His fingers tapped once against" | | 15 | "She dropped her arms fast," | | 16 | "She scoffed, stepping aside at" | | 17 | "His cane tip tapped the" | | 18 | "She tossed her keys onto" | | 19 | "He didn’t sit." |
| | ratio | 0.35 | |
| 71.89% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 143 | | matches | | 0 | "She’d just kicked off her" | | 1 | "Ptolemy’s tail flicked from the" | | 2 | "Aurora froze, one boot still" | | 3 | "She set her bag down" | | 4 | "The knock came again—heavier this" | | 5 | "Her pulse kicked against her" | | 6 | "she said, loud enough to" | | 7 | "The voice that answered wasn’t" | | 8 | "Her fingers curled into her" | | 9 | "She exhaled through her nose," | | 10 | "The scent of jasmine and" | | 11 | "Aurora leaned closer, until her" | | 12 | "The cane twitched." | | 13 | "She stepped back, fingers brushing" | | 14 | "he cut in" | | 15 | "Her thumb stilled on the" | | 16 | "The precision of it—like a" | | 17 | "She hated that she still" | | 18 | "She turned the key." | | 19 | "The deadbolts slid back with" |
| | ratio | 0.776 | |
| 34.97% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 143 | | matches | | 0 | "Even when he spoke French" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 3 | | matches | | 0 | "She set her bag down with a thud that made Ptolemy’s ears twitch." | | 1 | "The door swung inward before the last one disengaged, pushing against her palm as if the flat itself had inhaled." | | 2 | "His cane tip tapped the laminate floor twice, testing weight, as if he expected the boards to hide vermin or secrets." |
| |
| 87.96% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 2 | | matches | | 0 | "She stepped back, fingers brushing the deadbolt" | | 1 | "He replaced, as if measuring gaps with his eyes" |
| |
| 96.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 4 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "she noted (note)" | | 2 | "Lucien continued (continue)" | | 3 | "She laughed (laugh)" |
| | dialogueSentences | 75 | | tagDensity | 0.24 | | leniency | 0.48 | | rawRatio | 0.222 | | effectiveRatio | 0.107 | |