| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1143 | | totalAiIsmAdverbs | 2 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1143 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "chill" | | 1 | "pulse" | | 2 | "resolve" | | 3 | "simmering" | | 4 | "otherworldly" | | 5 | "intricate" | | 6 | "calculated" | | 7 | "scanning" | | 8 | "flicked" | | 9 | "predator" | | 10 | "flickered" | | 11 | "glint" | | 12 | "quickened" | | 13 | "echoed" | | 14 | "pulsed" | | 15 | "footsteps" | | 16 | "tapestry" | | 17 | "hulking" | | 18 | "gloom" | | 19 | "tension" | | 20 | "depths" | | 21 | "jaw clenched" | | 22 | "spectral" | | 23 | "echo" |
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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 | 0 | | narrationSentences | 84 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1127 | | ratio | 0 | | matches | (empty) | |
| 93.75% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 1 | | matches | | 0 | "The Veil Market, they called it." |
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| 80.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1009 | | uniqueNames | 12 | | maxNameDensity | 1.39 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 14 | | Quinn | 1 | | Tube | 1 | | London | 1 | | Veil | 1 | | Market | 5 | | Bottles | 1 | | Ahead | 1 | | Herrera | 1 | | Camden | 1 | | Tomás | 7 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Market" | | 3 | "Herrera" | | 4 | "Tomás" | | 5 | "Morris" |
| | places | | | globalScore | 0.806 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 1 | | matches | | 0 | "as if weighing the subterranean shadows for eavesdroppers" |
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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 | 1127 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 28.18 | | std | 18.83 | | cv | 0.668 | | sampleLengths | | 0 | 63 | | 1 | 59 | | 2 | 60 | | 3 | 45 | | 4 | 3 | | 5 | 76 | | 6 | 44 | | 7 | 36 | | 8 | 43 | | 9 | 54 | | 10 | 12 | | 11 | 48 | | 12 | 17 | | 13 | 15 | | 14 | 42 | | 15 | 31 | | 16 | 15 | | 17 | 45 | | 18 | 2 | | 19 | 38 | | 20 | 33 | | 21 | 3 | | 22 | 39 | | 23 | 9 | | 24 | 23 | | 25 | 6 | | 26 | 30 | | 27 | 27 | | 28 | 16 | | 29 | 28 | | 30 | 15 | | 31 | 11 | | 32 | 17 | | 33 | 22 | | 34 | 23 | | 35 | 37 | | 36 | 26 | | 37 | 5 | | 38 | 6 | | 39 | 3 |
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| 96.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 84 | | matches | | 0 | "been tipped" | | 1 | "was tangled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 175 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 1 | | flaggedSentences | 15 | | totalSentences | 94 | | ratio | 0.16 | | matches | | 0 | "Neon signs gleamed through the haze—a flickering barcode of color stretched across slick pavements and rain-soaked alleys." | | 1 | "Harlow’s pulse hit steady rhythm—years on the force had trained her to catch moments like these, to read the city’s heartbeat." | | 2 | "The stench was pungent—oils, wet asphalt, something metallic." | | 3 | "At the bottom of the stairwell, the suspect paused only a fraction of a second—enough for her to close the distance swiftly—and then vanished through a narrow curtain of heavy, black plastic strips." | | 4 | "Shadows twisted and lurked among the crowd—figures cloaked in heavy coats, their faces obscured beneath hoods or strange, intricate masks." | | 5 | "This wasn’t the sort of place the police department recognized—or sanctioned." | | 6 | "Her hand went to the leather strap of her watch at her wrist—a worn companion on long shifts and endless nights." | | 7 | "She had heard stories—tales of those who’d gone deep into the Market and never emerged the same, or at all." | | 8 | "His hand slipped beneath the table briefly and reemerged with a small, worn bone token—an ugly thing, carved crudely but unmistakably valuable here." | | 9 | "Something flickered beneath the crowd—a flash of olive skin under worn leather, a glint of curious brown eyes." | | 10 | "The man she’d been tipped to locate—the paramedic who dealt with off-the-books medical care for those like the Market’s patrons." | | 11 | "A sudden, sharp clatter echoed—the sound of crates toppling against stone." | | 12 | "Heads turned; murmurs spiked into tense whispers." | | 13 | "The man’s breath reeked—cigarette smoke and something fouler." | | 14 | "Harlow glanced at the bone token in her palm—the key to this hidden world." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 599 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.02671118530884808 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.01001669449081803 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 11.99 | | std | 6.42 | | cv | 0.536 | | sampleLengths | | 0 | 16 | | 1 | 17 | | 2 | 19 | | 3 | 11 | | 4 | 21 | | 5 | 21 | | 6 | 17 | | 7 | 10 | | 8 | 4 | | 9 | 14 | | 10 | 15 | | 11 | 8 | | 12 | 9 | | 13 | 33 | | 14 | 12 | | 15 | 3 | | 16 | 11 | | 17 | 7 | | 18 | 19 | | 19 | 20 | | 20 | 19 | | 21 | 9 | | 22 | 11 | | 23 | 24 | | 24 | 6 | | 25 | 21 | | 26 | 9 | | 27 | 21 | | 28 | 16 | | 29 | 6 | | 30 | 16 | | 31 | 14 | | 32 | 4 | | 33 | 20 | | 34 | 7 | | 35 | 5 | | 36 | 11 | | 37 | 16 | | 38 | 21 | | 39 | 17 | | 40 | 5 | | 41 | 10 | | 42 | 13 | | 43 | 23 | | 44 | 6 | | 45 | 31 | | 46 | 3 | | 47 | 12 | | 48 | 14 | | 49 | 13 |
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| 75.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.46808510638297873 | | totalSentences | 94 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 83 | | matches | | 0 | "Instead, an otherworldly murmur filled" | | 1 | "Instead, he slipped through a" | | 2 | "Suddenly, a hand shot out," | | 3 | "Then, with a reluctant grunt," |
| | ratio | 0.048 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 83 | | matches | | 0 | "Her eyes, sharp and unyielding," | | 1 | "He plunged down a short" | | 2 | "Her hand went to the" | | 3 | "She risked a glance back" | | 4 | "She had heard stories—tales of" | | 5 | "She could not lose him." | | 6 | "she muttered under her breath," | | 7 | "His voice was low, almost" | | 8 | "His hand slipped beneath the" | | 9 | "He pressed it into her" | | 10 | "She moved on, token clenched" | | 11 | "She kept to the shadows," | | 12 | "Her mind snapped back a" | | 13 | "He was her best lead" | | 14 | "They weren’t alone." | | 15 | "She shook off her coat," | | 16 | "He hesitated, then nodded once," | | 17 | "Her mind flicked to the" | | 18 | "She swallowed hard, the rain" | | 19 | "She nodded once, fierce and" |
| | ratio | 0.241 | |
| 44.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 83 | | matches | | 0 | "Neon signs gleamed through the" | | 1 | "Detective Harlow Quinn’s boots slapped" | | 2 | "Her eyes, sharp and unyielding," | | 3 | "The man moved with a" | | 4 | "Harlow’s pulse hit steady rhythm—years" | | 5 | "Harlow barked, voice bouncing off" | | 6 | "The man didn’t falter." | | 7 | "He plunged down a short" | | 8 | "Harlow’s boots pounded behind him," | | 9 | "The stench was pungent—oils, wet" | | 10 | "The muffled thrum of the" | | 11 | "Harlow hesitated, hand hovering at" | | 12 | "The world shifted." | | 13 | "Shadows twisted and lurked among" | | 14 | "The sharp scent of alchemical" | | 15 | "Harlow’s gaze swept the cavernous" | | 16 | "This wasn’t the sort of" | | 17 | "Word on the street whispered" | | 18 | "The Veil Market, they called" | | 19 | "A place Harlow only half" |
| | ratio | 0.831 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 3 | | matches | | 0 | "Harlow barked, voice bouncing off the slick brick walls" | | 1 | "Harlow said, voice steady" | | 2 | "the stranger growled, voice thick with threat" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "Harlow barked (bark)" | | 1 | "she muttered (mutter)" | | 2 | "the stranger growled (growl)" |
| | dialogueSentences | 16 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.75 | | effectiveRatio | 0.375 | |