| 78.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "Tomás pointed upward [upward]" | | 1 | "Tomás said quietly [quietly]" |
| | dialogueSentences | 33 | | tagDensity | 0.424 | | leniency | 0.848 | | rawRatio | 0.143 | | effectiveRatio | 0.121 | |
| 93.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1481 | | 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) | |
| 56.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1481 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "shattered" | | 1 | "echo" | | 2 | "gloom" | | 3 | "depths" | | 4 | "familiar" | | 5 | "standard" | | 6 | "rhythmic" | | 7 | "vibrated" | | 8 | "constructed" | | 9 | "dancing" | | 10 | "scanned" | | 11 | "flickered" | | 12 | "silence" |
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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 | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 109 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 128 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1477 | | ratio | 0.001 | | matches | | 0 | "Unexplained circumstances." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1295 | | uniqueNames | 14 | | maxNameDensity | 1.47 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Tomás" | | discoveredNames | | Quinn | 19 | | Soho | 1 | | London | 1 | | Morris | 1 | | Victorian | 1 | | Camden | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Seville | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 10 |
| | persons | | 0 | "Quinn" | | 1 | "Morris" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Tomás" |
| | places | | 0 | "Soho" | | 1 | "London" | | 2 | "Seville" |
| | globalScore | 0.766 | | windowScore | 0.667 | |
| 91.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 86 | | glossingSentenceCount | 2 | | matches | | 0 | "stone that seemed to absorb the beam of her torch" | | 1 | "sounded like laughter" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.677 | | wordCount | 1477 | | matches | | 0 | "not a basement or a storage room, but a steep, narrow staircase descending into absolute darkness" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 31.43 | | std | 23.59 | | cv | 0.751 | | sampleLengths | | 0 | 50 | | 1 | 58 | | 2 | 53 | | 3 | 2 | | 4 | 80 | | 5 | 6 | | 6 | 40 | | 7 | 63 | | 8 | 34 | | 9 | 67 | | 10 | 76 | | 11 | 5 | | 12 | 62 | | 13 | 78 | | 14 | 10 | | 15 | 11 | | 16 | 17 | | 17 | 16 | | 18 | 45 | | 19 | 1 | | 20 | 34 | | 21 | 66 | | 22 | 35 | | 23 | 25 | | 24 | 31 | | 25 | 7 | | 26 | 36 | | 27 | 5 | | 28 | 8 | | 29 | 52 | | 30 | 12 | | 31 | 57 | | 32 | 62 | | 33 | 13 | | 34 | 35 | | 35 | 2 | | 36 | 18 | | 37 | 37 | | 38 | 12 | | 39 | 8 | | 40 | 13 | | 41 | 4 | | 42 | 27 | | 43 | 53 | | 44 | 11 | | 45 | 14 | | 46 | 26 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 228 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 128 | | ratio | 0.008 | | matches | | 0 | "The sound of the city above—the sirens, the traffic, the rain—faded into a dull hum, replaced by a low, rhythmic thrumming that vibrated in her teeth." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1299 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavier, pressing against her" |
| | adverbCount | 22 | | adverbRatio | 0.016936104695919937 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.01077752117013087 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 128 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 128 | | mean | 11.54 | | std | 6.94 | | cv | 0.601 | | sampleLengths | | 0 | 21 | | 1 | 29 | | 2 | 4 | | 3 | 14 | | 4 | 21 | | 5 | 19 | | 6 | 9 | | 7 | 24 | | 8 | 20 | | 9 | 2 | | 10 | 9 | | 11 | 15 | | 12 | 26 | | 13 | 17 | | 14 | 2 | | 15 | 1 | | 16 | 10 | | 17 | 6 | | 18 | 4 | | 19 | 25 | | 20 | 8 | | 21 | 3 | | 22 | 5 | | 23 | 2 | | 24 | 21 | | 25 | 15 | | 26 | 6 | | 27 | 14 | | 28 | 16 | | 29 | 18 | | 30 | 11 | | 31 | 22 | | 32 | 8 | | 33 | 26 | | 34 | 16 | | 35 | 14 | | 36 | 26 | | 37 | 20 | | 38 | 5 | | 39 | 11 | | 40 | 27 | | 41 | 15 | | 42 | 9 | | 43 | 15 | | 44 | 15 | | 45 | 14 | | 46 | 6 | | 47 | 28 | | 48 | 10 | | 49 | 11 |
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| 50.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.390625 | | totalSentences | 128 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 104 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 104 | | matches | | 0 | "She gripped the cold iron," | | 1 | "Her worn leather watch dug" | | 2 | "She landed in a crouch," | | 3 | "It swung inward with a" | | 4 | "It felt alive." | | 5 | "She thought of DS Morris." | | 6 | "She drew her service weapon," | | 7 | "She had dismissed it as" | | 8 | "They smelled the blue uniform" | | 9 | "She pushed forward, shoulder-checking a" | | 10 | "She pushed through the crowd," | | 11 | "She recognised the voice." | | 12 | "He wore a stained apron" | | 13 | "He kept his hands visible," | | 14 | "She raised her gun, sweeping" | | 15 | "Her training screamed at her" | | 16 | "she said, her voice low" | | 17 | "He pulled out a small," | | 18 | "It wore the tattered remains" | | 19 | "she whispered, the name tearing" |
| | ratio | 0.221 | |
| 12.88% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 104 | | matches | | 0 | "Glass shattered under Quinn's boot" | | 1 | "The suspect, a gaunt figure" | | 2 | "Quinn did not hesitate." | | 3 | "She gripped the cold iron," | | 4 | "Her worn leather watch dug" | | 5 | "She landed in a crouch," | | 6 | "The alley reeked of rotting" | | 7 | "Puddles reflected the jagged neon" | | 8 | "The suspect sprinted toward a" | | 9 | "The command tore from Quinn's" | | 10 | "The figure spun, eyes wide" | | 11 | "It swung inward with a" | | 12 | "A gust of air rushed" | | 13 | "The suspect vanished down the" | | 14 | "Quinn reached the threshold." | | 15 | "The rain hammered against her" | | 16 | "The darkness below breathed out," | | 17 | "It felt alive." | | 18 | "She thought of DS Morris." | | 19 | "The file on her desk" |
| | ratio | 0.894 | |
| 48.08% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 104 | | matches | | 0 | "Now, standing on the grimy" |
| | ratio | 0.01 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 12 | | matches | | 0 | "The suspect sprinted toward a heavy steel door marked with peeling paint, fumbling with a key that refused to turn." | | 1 | "*Unexplained circumstances.* That was the phrase they used when the truth didn't fit the narrative." | | 2 | "The brickwork changed from the standard Victorian red to a slick, black stone that seemed to absorb the beam of her torch." | | 3 | "The sound of the city above—the sirens, the traffic, the rain—faded into a dull hum, replaced by a low, rhythmic thrumming that vibrated in her teeth." | | 4 | "At the bottom, the staircase opened into a cavernous space that defied the geography of Camden." | | 5 | "Stalls constructed from driftwood and bone lined the platform, draped in tapestries woven from materials that shifted colour when viewed from the corner of the …" | | 6 | "Lanterns fueled by green flame hung from the vaulted ceiling, casting long, dancing shadows that moved independently of their sources." | | 7 | "The suspect wove through the crowd, shoving past creatures that looked human until they turned." | | 8 | "They smelled the blue uniform under her coat, the steel on her hip, and they simply parted ways, their eyes sliding off her as if she were invisible." | | 9 | "She pushed through the crowd, her hand brushing against a cage containing something that chittered in a language that made her teeth ache." | | 10 | "The hum in the air pitched higher, becoming a whine that set her nerves on edge." | | 11 | "The thing that wore her partner's face raised a hand." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 4 | | matches | | 0 | "the figure rasped, voice sounding like grinding stones" | | 1 | "Quinn snapped, her voice steady despite the hammering of her heart" | | 2 | "she said, her voice low and dangerous" | | 3 | "Quinn warned, her finger tightening on the trigger" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "Quinn snapped (snap)" | | 1 | "Quinn demanded (demand)" | | 2 | "Tomás corrected (correct)" | | 3 | "Quinn warned (warn)" | | 4 | "she whispered (whisper)" |
| | dialogueSentences | 33 | | tagDensity | 0.303 | | leniency | 0.606 | | rawRatio | 0.5 | | effectiveRatio | 0.303 | |