| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.529 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1120 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 15.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1120 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "silence" | | 2 | "perfect" | | 3 | "amidst" | | 4 | "scanning" | | 5 | "pristine" | | 6 | "whisper" | | 7 | "resonated" | | 8 | "etched" | | 9 | "palpable" | | 10 | "measured" | | 11 | "furrowed" | | 12 | "standard" | | 13 | "echoed" | | 14 | "structure" | | 15 | "chilling" |
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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 | 69 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 1127 | | ratio | 0.004 | | matches | | 0 | "“The Serpent Waits.”" | | 1 | "knew" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.01% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 821 | | uniqueNames | 17 | | maxNameDensity | 1.34 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Euston | 1 | | Station | 1 | | Detective | 1 | | Harlow | 11 | | Quinn | 1 | | Morris | 1 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Silas | 1 | | Blackwood | 2 | | Eva | 6 | | Veil | 3 | | Compass | 2 | | Inspector | 1 | | Davies | 6 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Kowalski" | | 4 | "Museum" | | 5 | "Silas" | | 6 | "Blackwood" | | 7 | "Eva" | | 8 | "Compass" | | 9 | "Inspector" | | 10 | "Davies" |
| | places | | 0 | "Euston" | | 1 | "Station" | | 2 | "British" |
| | globalScore | 0.83 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | 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 | 1127 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 85 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 46.96 | | std | 28.86 | | cv | 0.615 | | sampleLengths | | 0 | 121 | | 1 | 69 | | 2 | 99 | | 3 | 34 | | 4 | 87 | | 5 | 19 | | 6 | 52 | | 7 | 80 | | 8 | 8 | | 9 | 32 | | 10 | 31 | | 11 | 54 | | 12 | 42 | | 13 | 44 | | 14 | 11 | | 15 | 35 | | 16 | 14 | | 17 | 47 | | 18 | 53 | | 19 | 25 | | 20 | 58 | | 21 | 19 | | 22 | 75 | | 23 | 18 |
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| 90.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 69 | | matches | | 0 | "was shaped" | | 1 | "was unsigned" | | 2 | "been involved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 138 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 2 | | flaggedSentences | 9 | | totalSentences | 85 | | ratio | 0.106 | | matches | | 0 | "The scent hit her first – ozone and something sickly sweet, like overripe lilies left too long in a damp cellar." | | 1 | "It wasn't a typical urban wasteland; the station section had a strange, residual energy, a whisper of something older, something…" | | 2 | "She pulled out a small, tarnished brass compass – the Veil Compass – from her pocket, its face etched with protective sigils." | | 3 | "It wasn’t simply pristine; it was unnaturally bright, almost luminous." | | 4 | "A closer inspection revealed a subtle, shimmering residue coating the petals – a substance that resembled powdered silver, but felt strangely…" | | 5 | "She noticed something Davies had missed – a thin, almost invisible layer of frost coating the inside of the box." | | 6 | "As she reached into the corner, her fingers brushed against something smooth and cold – a small, intricately carved bone token." | | 7 | "It was a photograph – a cropped image of a man standing in front of a towering, gothic structure, bathed in an unnatural, violet light." | | 8 | "The man wore a long, black robe and held a similar bone token – the serpent – aloft in his hand." |
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| 68.93% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 814 | | adjectiveStacks | 2 | | stackExamples | | 0 | "single, perfect white rose" | | 1 | "small, leather-bound notebook." |
| | adverbCount | 42 | | adverbRatio | 0.051597051597051594 | | lyAdverbCount | 25 | | lyAdverbRatio | 0.030712530712530713 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 13.26 | | std | 7.89 | | cv | 0.595 | | sampleLengths | | 0 | 21 | | 1 | 36 | | 2 | 3 | | 3 | 20 | | 4 | 41 | | 5 | 27 | | 6 | 21 | | 7 | 14 | | 8 | 7 | | 9 | 3 | | 10 | 12 | | 11 | 20 | | 12 | 13 | | 13 | 1 | | 14 | 1 | | 15 | 2 | | 16 | 6 | | 17 | 22 | | 18 | 11 | | 19 | 8 | | 20 | 16 | | 21 | 18 | | 22 | 12 | | 23 | 20 | | 24 | 1 | | 25 | 18 | | 26 | 22 | | 27 | 14 | | 28 | 13 | | 29 | 6 | | 30 | 14 | | 31 | 20 | | 32 | 18 | | 33 | 5 | | 34 | 8 | | 35 | 10 | | 36 | 21 | | 37 | 1 | | 38 | 12 | | 39 | 9 | | 40 | 14 | | 41 | 8 | | 42 | 9 | | 43 | 23 | | 44 | 14 | | 45 | 17 | | 46 | 16 | | 47 | 20 | | 48 | 18 | | 49 | 10 |
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| 56.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.38823529411764707 | | totalSentences | 85 | | uniqueOpeners | 33 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 71.61% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 62 | | matches | | 0 | "It clung to the air" | | 1 | "She adjusted the worn leather" | | 2 | "Her round glasses magnified her" | | 3 | "she offered, her voice tight" | | 4 | "She circled the signal box," | | 5 | "she murmured, her brown eyes" | | 6 | "It wasn't a typical urban" | | 7 | "She pulled out a small," | | 8 | "she stated, her voice low" | | 9 | "He gestured towards a junior" | | 10 | "She crouched beside the rose," | | 11 | "It wasn’t simply pristine; it" | | 12 | "She carefully bagged a petal," | | 13 | "she murmured, turning back to" | | 14 | "She noticed something Davies had" | | 15 | "She activated the Veil Compass" | | 16 | "she said, her eyes narrowing" | | 17 | "It was shaped like a" | | 18 | "She glanced at Eva, who" | | 19 | "she said, her voice shaking" |
| | ratio | 0.371 | |
| 24.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 62 | | matches | | 0 | "The scent hit her first" | | 1 | "It clung to the air" | | 2 | "She adjusted the worn leather" | | 3 | "The flickering fluorescent lights of" | | 4 | "Eva Kowalski, her perpetually anxious" | | 5 | "Her round glasses magnified her" | | 6 | "she offered, her voice tight" | | 7 | "Harlow didn’t move." | | 8 | "She circled the signal box," | | 9 | "The victim, identified as Silas" | | 10 | "A superficial cut on his" | | 11 | "she murmured, her brown eyes" | | 12 | "Eva said, her fingers still" | | 13 | "Harlow ignored the detail, her" | | 14 | "It wasn't a typical urban" | | 15 | "A faint, almost imperceptible hum" | | 16 | "She pulled out a small," | | 17 | "The needle spun wildly for" | | 18 | "she stated, her voice low" | | 19 | "Inspector Davies, a stout, pragmatic" |
| | ratio | 0.871 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 31.25% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 5 | | matches | | 0 | "It clung to the air in the disused section of Euston Station, a metallic tang overlaid with a floral decay that sent a shiver crawling up Detective Harlow Quinn…" | | 1 | "A faint, almost imperceptible hum resonated through the metal, a vibration that tickled the back of her teeth." | | 2 | "Inspector Davies, a stout, pragmatic man who’d clearly been here longer than Harlow, grunted." | | 3 | "A closer inspection revealed a subtle, shimmering residue coating the petals – a substance that resembled powdered silver, but felt strangely…" | | 4 | "The unsettling sweetness of the lilies grew stronger, almost suffocating, as a distinct, cold whisper brushed against her ear, a voice that sounded impossibly o…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 10 | | matches | | 0 | "she offered, her voice tight" | | 1 | "she murmured, her brown eyes scanning the immediately surrounding area" | | 2 | "Eva said, her fingers still trembling as she adjusted the camera angle" | | 3 | "she stated, her voice low and deliberate" | | 4 | "Davies asked, his skepticism palpable" | | 5 | "Harlow replied, her voice measured" | | 6 | "Harlow replied, her gaze sweeping the signal box again" | | 7 | "she said, her eyes narrowing" | | 8 | "Eva whispered, her freckled face paling" | | 9 | "she said, her voice shaking" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 8 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she stated (state)" | | 2 | "she murmured (murmur)" | | 3 | "Eva whispered (whisper)" | | 4 | "Harlow stated (state)" | | 5 | "Harlow conceded (concede)" | | 6 | "A junior officer rushed (rush)" | | 7 | "the voice hissed (hiss)" |
| | dialogueSentences | 34 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0.571 | | effectiveRatio | 0.471 | |