| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1191 | | 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) | |
| 37.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1191 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "resolve" | | 3 | "tension" | | 4 | "calculating" | | 5 | "traced" | | 6 | "facade" | | 7 | "footsteps" | | 8 | "could feel" | | 9 | "pulsed" | | 10 | "electric" | | 11 | "cacophony" | | 12 | "grave" |
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| 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 | 0 | | narrationSentences | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | 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 | 1174 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1170 | | uniqueNames | 20 | | maxNameDensity | 0.77 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 9 | | Camden | 2 | | High | 2 | | Street | 2 | | Morris | 6 | | Raven | 1 | | Nest | 1 | | Kensington | 1 | | Soho | 1 | | Christopher | 2 | | Tube | 1 | | Edwardian | 1 | | Clapham | 1 | | Metropolitan | 1 | | Police | 1 | | Veil | 1 | | Market | 2 | | English | 1 | | Saint | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Raven" | | 4 | "Nest" | | 5 | "Christopher" | | 6 | "Market" | | 7 | "Saint" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Kensington" | | 4 | "Soho" |
| | globalScore | 1 | | windowScore | 1 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like ozone before a lightning stri" | | 1 | "looked like a vertebra—white and carved w" |
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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 | 1174 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 39.13 | | std | 24.72 | | cv | 0.632 | | sampleLengths | | 0 | 65 | | 1 | 75 | | 2 | 54 | | 3 | 2 | | 4 | 75 | | 5 | 45 | | 6 | 59 | | 7 | 40 | | 8 | 67 | | 9 | 10 | | 10 | 64 | | 11 | 7 | | 12 | 45 | | 13 | 40 | | 14 | 49 | | 15 | 78 | | 16 | 4 | | 17 | 35 | | 18 | 69 | | 19 | 7 | | 20 | 33 | | 21 | 45 | | 22 | 75 | | 23 | 13 | | 24 | 23 | | 25 | 37 | | 26 | 17 | | 27 | 24 | | 28 | 14 | | 29 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 197 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 2 | | flaggedSentences | 12 | | totalSentences | 116 | | ratio | 0.103 | | matches | | 0 | "Her eyes locked on the figure fifty yards ahead—a man in a charcoal coat who moved with the fluidity of mercury, slipping between late-night pedestrians who stumbled from pubs and curry houses." | | 1 | "He’d sensed her immediately—she’d seen it in the snap of his head, the tension in his shoulders." | | 2 | "Her salt-and-pepper hair, cropped close to her scalp, offered no resistance to the rain; water rivulets traced the contours of her skull and dripped from her brow." | | 3 | "His coat flared behind him like wings, and for a moment—just a fraction of a heartbeat—Quinn saw something wrong with his silhouette." | | 4 | "The light caught the suspect's profile—olive skin, dark curls plastered to his forehead, a flash of silver at his throat." | | 5 | "She recognized the architecture—the Edwardian facade, the boarded windows, the ghost of white tiles visible where the plywood had peeled." | | 6 | "Cold air exhaled from the gap, carrying scents of copper and myrrh and something else—something that smelled like ozone before a lightning strike." | | 7 | "The full moon hung somewhere above the cloud cover; she could feel its pull in her joints, an ache she'd learned to associate with the strange cases." | | 8 | "She saw shadows moving—too tall, too angular, wrong proportions that triggered primal alarms in her hindbrain." | | 9 | "She saw a man hand over what looked like a vertebra—white and carved with sigils—to a guard who stepped aside and let him pass." | | 10 | "The scent of the underground rushed up to meet her—ancient and electric and hungry." | | 11 | "The scent of alchemical fires—sulfur and lavender—burned her nostrils." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1187 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.02864363942712721 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002527379949452401 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 10.12 | | std | 8.2 | | cv | 0.81 | | sampleLengths | | 0 | 5 | | 1 | 20 | | 2 | 8 | | 3 | 32 | | 4 | 4 | | 5 | 35 | | 6 | 11 | | 7 | 16 | | 8 | 3 | | 9 | 6 | | 10 | 14 | | 11 | 20 | | 12 | 17 | | 13 | 3 | | 14 | 2 | | 15 | 7 | | 16 | 4 | | 17 | 10 | | 18 | 11 | | 19 | 3 | | 20 | 13 | | 21 | 27 | | 22 | 5 | | 23 | 3 | | 24 | 22 | | 25 | 3 | | 26 | 12 | | 27 | 3 | | 28 | 3 | | 29 | 30 | | 30 | 23 | | 31 | 6 | | 32 | 12 | | 33 | 3 | | 34 | 10 | | 35 | 5 | | 36 | 4 | | 37 | 16 | | 38 | 20 | | 39 | 2 | | 40 | 29 | | 41 | 10 | | 42 | 3 | | 43 | 20 | | 44 | 14 | | 45 | 9 | | 46 | 18 | | 47 | 7 | | 48 | 7 | | 49 | 6 |
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| 39.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.3275862068965517 | | totalSentences | 116 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 105 | | matches | | 0 | "Then he’d run." | | 1 | "Instead, he accelerated." | | 2 | "Too many angles." | | 3 | "Too much shadow clinging to" | | 4 | "Just urgent whispers and the" | | 5 | "Just the snap of transactions," |
| | ratio | 0.057 | |
| 52.38% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 105 | | matches | | 0 | "She ignored the soak creeping" | | 1 | "Her eyes locked on the" | | 2 | "She pumped her arms." | | 3 | "She knew better." | | 4 | "She knew the dark had" | | 5 | "She’d been watching the entrance" | | 6 | "He’d sensed her immediately—she’d seen" | | 7 | "Her voice cracked against the" | | 8 | "She shaved seconds off the" | | 9 | "Her salt-and-pepper hair, cropped close" | | 10 | "His coat flared behind him" | | 11 | "She pushed harder." | | 12 | "Her lungs burned." | | 13 | "Her trousers snagged." | | 14 | "She ripped them free, landed" | | 15 | "She ran through it." | | 16 | "They emerged onto a side" | | 17 | "She filed the detail away," | | 18 | "He darted toward the mouth" | | 19 | "She recognized the architecture—the Edwardian" |
| | ratio | 0.419 | |
| 55.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 105 | | matches | | 0 | "The rain fell in sheets." | | 1 | "Detective Harlow Quinn's boots cratered" | | 2 | "She ignored the soak creeping" | | 3 | "Her eyes locked on the" | | 4 | "She pumped her arms." | | 5 | "The worn leather watch on" | | 6 | "She knew better." | | 7 | "She knew the dark had" | | 8 | "The green neon of The" | | 9 | "She’d been watching the entrance" | | 10 | "He’d sensed her immediately—she’d seen" | | 11 | "Her voice cracked against the" | | 12 | "The suspect cut left." | | 13 | "Quinn followed, her military precision" | | 14 | "She shaved seconds off the" | | 15 | "The alley narrowed." | | 16 | "Brick walls hemmed them in," | | 17 | "Her salt-and-pepper hair, cropped close" | | 18 | "The figure didn't break stride." | | 19 | "His coat flared behind him" |
| | ratio | 0.81 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 105 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 8 | | matches | | 0 | "Her eyes locked on the figure fifty yards ahead—a man in a charcoal coat who moved with the fluidity of mercury, slipping between late-night pedestrians who stu…" | | 1 | "The worn leather watch on her left wrist slid toward her elbow, its familiar weight a tether to the eighteen years of service that had carved the sharp lines of…" | | 2 | "The scar tissue from last year's stabbing pulled tight across her abdomen, a silvered memory of a Kensington ambush that had never made sense until she'd starte…" | | 3 | "Cold air exhaled from the gap, carrying scents of copper and myrrh and something else—something that smelled like ozone before a lightning strike." | | 4 | "She saw shadows moving—too tall, too angular, wrong proportions that triggered primal alarms in her hindbrain." | | 5 | "She saw a woman with serpentine hair haggling over a jar that glowed with imprisoned starlight." | | 6 | "Just the snap of transactions, the rustle of fabric that sounded too much like scales, the wet clicking of tongues that hadn't spoken English in centuries, or e…" | | 7 | "She thought of the leather watch on her wrist, ticking away the seconds of her life she'd dedicated to finding truth in a city built on secrets." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |