| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1271 | | 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) | |
| 33.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1271 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "pounding" | | 1 | "familiar" | | 2 | "tension" | | 3 | "chill" | | 4 | "pulsed" | | 5 | "rhythmic" | | 6 | "gloom" | | 7 | "tapestry" | | 8 | "tangible" | | 9 | "imposing" | | 10 | "determined" | | 11 | "chaotic" | | 12 | "symphony" | | 13 | "charged" | | 14 | "silence" | | 15 | "unwavering" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 90 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | 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 | 1 | | markdownWords | 10 | | totalWords | 1258 | | ratio | 0.008 | | matches | | 0 | "“Wait for the team, Harlow. Always wait for the team.”" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 1077 | | uniqueNames | 18 | | maxNameDensity | 0.93 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 2 | | Quinn | 10 | | Kael | 8 | | Raven | 1 | | Nest | 1 | | Morris | 5 | | Northern | 1 | | Line | 1 | | Tube | 1 | | Transport | 1 | | London | 1 | | Camden | 1 | | Veil | 1 | | Market | 2 | | Saint | 1 | | Christopher | 1 | | Tomás | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Kael" | | 3 | "Raven" | | 4 | "Morris" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Tomás" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.795 | | wordCount | 1258 | | matches | | 0 | "Not as he was in life, laughing over a terrible canteen coffee, but as he was in death" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 39.31 | | std | 23.89 | | cv | 0.608 | | sampleLengths | | 0 | 57 | | 1 | 79 | | 2 | 67 | | 3 | 61 | | 4 | 76 | | 5 | 66 | | 6 | 67 | | 7 | 3 | | 8 | 25 | | 9 | 68 | | 10 | 51 | | 11 | 34 | | 12 | 6 | | 13 | 67 | | 14 | 20 | | 15 | 50 | | 16 | 12 | | 17 | 58 | | 18 | 5 | | 19 | 40 | | 20 | 32 | | 21 | 16 | | 22 | 21 | | 23 | 28 | | 24 | 4 | | 25 | 69 | | 26 | 15 | | 27 | 22 | | 28 | 19 | | 29 | 53 | | 30 | 48 | | 31 | 19 |
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| 89.67% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 90 | | matches | | 0 | "been clawed" | | 1 | "was connected" | | 2 | "were rolled" | | 3 | "was wrapped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 173 | | matches | | |
| 29.70% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 101 | | ratio | 0.04 | | matches | | 0 | "Ahead, a dark shape—little more than a deeper shadow against the wet brick—darted around a corner." | | 1 | "The air changed as she descended, the chill of the rain replaced by a deeper, earthier cold that smelled of damp concrete and something else—ozone and old incense." | | 2 | "Kael was already melting into the crowd—a shifting, unnerving tapestry of figures." | | 3 | "The man—Tomás—didn’t even look at the badge." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1090 | | adjectiveStacks | 1 | | stackExamples | | 0 | "short, curly dark hair," |
| | adverbCount | 27 | | adverbRatio | 0.024770642201834864 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005504587155963303 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 12.46 | | std | 6.68 | | cv | 0.537 | | sampleLengths | | 0 | 17 | | 1 | 24 | | 2 | 16 | | 3 | 7 | | 4 | 11 | | 5 | 31 | | 6 | 14 | | 7 | 16 | | 8 | 10 | | 9 | 17 | | 10 | 20 | | 11 | 2 | | 12 | 18 | | 13 | 16 | | 14 | 3 | | 15 | 14 | | 16 | 28 | | 17 | 9 | | 18 | 13 | | 19 | 6 | | 20 | 23 | | 21 | 25 | | 22 | 16 | | 23 | 10 | | 24 | 12 | | 25 | 8 | | 26 | 20 | | 27 | 10 | | 28 | 12 | | 29 | 12 | | 30 | 19 | | 31 | 14 | | 32 | 3 | | 33 | 3 | | 34 | 11 | | 35 | 4 | | 36 | 7 | | 37 | 12 | | 38 | 15 | | 39 | 18 | | 40 | 23 | | 41 | 6 | | 42 | 18 | | 43 | 1 | | 44 | 1 | | 45 | 7 | | 46 | 8 | | 47 | 7 | | 48 | 3 | | 49 | 3 |
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| 53.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.39603960396039606 | | totalSentences | 101 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 71.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 86 | | matches | | 0 | "She didn’t shout for him" | | 1 | "She was eighteen years of" | | 2 | "He’d bolted the second he" | | 3 | "Her left wrist, where the" | | 4 | "She took the steps two" | | 5 | "He was at the far" | | 6 | "He glanced back once, his" | | 7 | "It was a jagged tear," | | 8 | "She heard a murmur of" | | 9 | "She approached the breach, the" | | 10 | "It was vast, a cavernous" | | 11 | "She’d heard whispers." | | 12 | "He was a courier for" | | 13 | "He was her only tangible" | | 14 | "He had warm brown eyes" | | 15 | "His sleeves were rolled up," | | 16 | "He pushed off the wall," | | 17 | "He wasn’t imposing, but there" | | 18 | "Her voice was granite" | | 19 | "He took in her soaked" |
| | ratio | 0.372 | |
| 12.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 86 | | matches | | 0 | "The rain fell in diagonal" | | 1 | "Detective Harlow Quinn’s breath tore" | | 2 | "She didn’t shout for him" | | 3 | "Warnings were for uniforms and" | | 4 | "She was eighteen years of" | | 5 | "Tonight, he’d been meeting someone" | | 6 | "He’d bolted the second he" | | 7 | "Quinn pushed harder, her leather" | | 8 | "The chase was a straight" | | 9 | "Her left wrist, where the" | | 10 | "Kael vanished down a set" | | 11 | "Quinn didn’t hesitate." | | 12 | "She took the steps two" | | 13 | "The air changed as she" | | 14 | "The abandoned Tube station was" | | 15 | "He was at the far" | | 16 | "He glanced back once, his" | | 17 | "Quinn slowed to a walk," | | 18 | "The opening wasn’t part of" | | 19 | "It was a jagged tear," |
| | ratio | 0.895 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 75.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 5 | | matches | | 0 | "She was eighteen years of chasing shadows, and this one, a wiry man named Kael with eyes that reflected light a little too brightly, had slipped through her fin…" | | 1 | "He was at the far end of the tunnel, a silhouette against a faint, flickering orange light that had no business being there." | | 2 | "She heard a murmur of voices, the clink of glass, a low, melodic hum that set her teeth on edge." | | 3 | "It was vast, a cavernous expanse that shouldn’t have fit beneath Camden." | | 4 | "Stalls made of scavenged wood and rusted iron stretched into the gloom, lit by lanterns that burned with witch-light." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 18 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 1 | | effectiveRatio | 0.111 | |