| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "A sign half torn away [away]" |
| | dialogueSentences | 25 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.1 | | effectiveRatio | 0.08 | |
| 93.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1530 | | 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) | |
| 57.52% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1530 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "fleeting" | | 1 | "maw" | | 2 | "familiar" | | 3 | "weight" | | 4 | "silence" | | 5 | "echo" | | 6 | "stark" | | 7 | "footfall" | | 8 | "resolved" | | 9 | "whisper" | | 10 | "etched" | | 11 | "echoed" | | 12 | "scanning" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 145 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 145 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 159 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 32 | | totalWords | 1515 | | ratio | 0.021 | | matches | | 0 | "Eighteen years" | | 1 | "and I’m still sprinting through alleys." | | 2 | "Mostly" | | 3 | "impossible" | | 4 | "A tragic accident. A confusing scene. Best to move on, Harlow." | | 5 | "“—not human, Harlow, the sounds, the sounds are all wrong—”" | | 6 | "her" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1351 | | uniqueNames | 14 | | maxNameDensity | 1.04 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | High | 1 | | Street | 1 | | Morris | 5 | | Armed | 1 | | Response | 1 | | Tube | 1 | | London | 1 | | Transport | 1 | | Veil | 2 | | Market | 2 | | Quinn | 14 | | Detective | 1 | | Harlow | 2 |
| | persons | | 0 | "Morris" | | 1 | "Quinn" | | 2 | "Harlow" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "London" | | 4 | "Market" | | 5 | "Detective" |
| | globalScore | 0.982 | | windowScore | 0.833 | |
| 98.45% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 97 | | glossingSentenceCount | 2 | | matches | | 0 | "blades that seemed to drink the ambient glow" | | 1 | "looked like antique clocks and odd brass" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 5 | | per1kWords | 3.3 | | wordCount | 1515 | | matches | | 0 | "not silence, but a low, pervasive hum of activity" | | 1 | "not fear, but bewildered recognition" | | 2 | "not into a cellar, but into a vast, vaulted space" | | 3 | "not in fear, but in a wary, silent acknowledgment of a wrong element in their" | | 4 | "Not at her, she realized, but at the recorder in the vendor’s hand" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 159 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 24.44 | | std | 17.51 | | cv | 0.716 | | sampleLengths | | 0 | 57 | | 1 | 56 | | 2 | 34 | | 3 | 3 | | 4 | 36 | | 5 | 43 | | 6 | 39 | | 7 | 9 | | 8 | 50 | | 9 | 51 | | 10 | 17 | | 11 | 4 | | 12 | 47 | | 13 | 55 | | 14 | 3 | | 15 | 38 | | 16 | 39 | | 17 | 41 | | 18 | 47 | | 19 | 11 | | 20 | 8 | | 21 | 16 | | 22 | 2 | | 23 | 57 | | 24 | 3 | | 25 | 13 | | 26 | 27 | | 27 | 17 | | 28 | 53 | | 29 | 21 | | 30 | 19 | | 31 | 8 | | 32 | 6 | | 33 | 37 | | 34 | 9 | | 35 | 20 | | 36 | 7 | | 37 | 24 | | 38 | 46 | | 39 | 34 | | 40 | 4 | | 41 | 22 | | 42 | 17 | | 43 | 61 | | 44 | 35 | | 45 | 34 | | 46 | 22 | | 47 | 12 | | 48 | 6 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 145 | | matches | | 0 | "was swallowed" | | 1 | "been found" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 214 | | matches | | 0 | "was leading" | | 1 | "was talking" |
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| 35.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 159 | | ratio | 0.038 | | matches | | 0 | "The suspect darted left, towards a grimy staircase leading below street level—a disused goods entrance for the old markets." | | 1 | "From the darkness below, a new sound filtered up—not silence, but a low, pervasive hum of activity." | | 2 | "To the look in his eyes in the moment before the radio went dead—not fear, but bewildered recognition." | | 3 | "The air grew colder, carrying new scents—ozone, incense, something metallic like old blood." | | 4 | "At the bottom, the stairs opened not into a cellar, but into a vast, vaulted space—an abandoned Tube station platform." | | 5 | "A burst of static screeched from the tiny speaker, then a voice—Morris’s voice, strained, breathless, *“—not human, Harlow, the sounds, the sounds are all wrong—”*" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 336 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.026785714285714284 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.005952380952380952 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 159 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 159 | | mean | 9.53 | | std | 5.97 | | cv | 0.627 | | sampleLengths | | 0 | 26 | | 1 | 13 | | 2 | 14 | | 3 | 4 | | 4 | 18 | | 5 | 11 | | 6 | 6 | | 7 | 11 | | 8 | 10 | | 9 | 9 | | 10 | 9 | | 11 | 9 | | 12 | 7 | | 13 | 3 | | 14 | 16 | | 15 | 5 | | 16 | 5 | | 17 | 7 | | 18 | 3 | | 19 | 11 | | 20 | 19 | | 21 | 7 | | 22 | 6 | | 23 | 14 | | 24 | 10 | | 25 | 11 | | 26 | 4 | | 27 | 5 | | 28 | 4 | | 29 | 7 | | 30 | 6 | | 31 | 17 | | 32 | 4 | | 33 | 4 | | 34 | 12 | | 35 | 5 | | 36 | 11 | | 37 | 18 | | 38 | 8 | | 39 | 9 | | 40 | 5 | | 41 | 3 | | 42 | 9 | | 43 | 4 | | 44 | 15 | | 45 | 6 | | 46 | 13 | | 47 | 13 | | 48 | 20 | | 49 | 13 |
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| 56.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3836477987421384 | | totalSentences | 159 | | uniqueOpeners | 61 | |
| 24.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 136 | | matches | | 0 | "Just a cold, assessing curiosity." |
| | ratio | 0.007 | |
| 84.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 136 | | matches | | 0 | "Her shoulder slammed into wet" | | 1 | "He was fast, but he" | | 2 | "She moved with purpose." | | 3 | "Her shoes skidded on something" | | 4 | "She recovered, her body remembering" | | 5 | "He vaulted a low iron" | | 6 | "She followed, the cold metal" | | 7 | "Her worn leather watch caught" | | 8 | "She didn’t stop to check" | | 9 | "He didn’t even glance back." | | 10 | "He was leading her somewhere." | | 11 | "They emerged onto a deserted" | | 12 | "He vanished into the dark" | | 13 | "She paused at the top" | | 14 | "Her mind flashed to Morris." | | 15 | "She’d buried the file, but" | | 16 | "She unclipped her torch, its" | | 17 | "She descended, each footfall careful," | | 18 | "Her beam swept across curved," | | 19 | "Her brain stuttered, trying to" |
| | ratio | 0.338 | |
| 40.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 114 | | totalSentences | 136 | | matches | | 0 | "Her shoulder slammed into wet" | | 1 | "Quinn’s breath burned in her" | | 2 | "He was fast, but he" | | 3 | "She moved with purpose." | | 4 | "Pavement became slick cobbles as" | | 5 | "The smell of stale beer" | | 6 | "Her shoes skidded on something" | | 7 | "She recovered, her body remembering" | | 8 | "He vaulted a low iron" | | 9 | "She followed, the cold metal" | | 10 | "Her worn leather watch caught" | | 11 | "She didn’t stop to check" | | 12 | "The shout was swallowed by" | | 13 | "He didn’t even glance back." | | 14 | "He was leading her somewhere." | | 15 | "Purpose had replaced panic in" | | 16 | "That was worse." | | 17 | "They emerged onto a deserted" | | 18 | "The suspect darted left, towards" | | 19 | "A sign, half torn away," |
| | ratio | 0.838 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 136 | | matches | | 0 | "To the case notes that" | | 1 | "To the look in his" | | 2 | "Before the man could react," |
| | ratio | 0.022 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 3 | | matches | | 0 | "But layered over them were stalls, tents, and carts glowing with lanterns that burned with unnatural colours: witch-light green, deep violet, sun-gold." | | 1 | "Her brain stuttered, trying to process a silhouette too tall and thin, a whisper of sound that was almost language, a trader with eyes that reflected her torchl…" | | 2 | "Another displayed wicked-looking blades that seemed to drink the ambient glow." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 6 | | fancyTags | | 0 | "The man chuckled (chuckle)" | | 1 | "it hissed (hiss)" | | 2 | "the suspect barked (bark)" | | 3 | "static screeched (screech)" | | 4 | "he whispered (whisper)" | | 5 | "he announced (announce)" |
| | dialogueSentences | 25 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0.857 | | effectiveRatio | 0.48 | |