| 78.79% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "haired man stepped aside [aside]" |
| | dialogueSentences | 33 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.167 | | effectiveRatio | 0.121 | |
| 89.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1479 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "utterly" | | 1 | "very" | | 2 | "really" |
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| 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) | |
| 69.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1479 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "echoed" | | 1 | "constructed" | | 2 | "velvet" | | 3 | "flickered" | | 4 | "flawless" | | 5 | "charged" | | 6 | "reminder" | | 7 | "weight" | | 8 | "almost alive" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 101 | | matches | (empty) | |
| 72.14% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 101 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "begin to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1463 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1180 | | uniqueNames | 9 | | maxNameDensity | 1.69 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 20 | | Soho | 1 | | Commissioner | 1 | | Victorian | 1 | | Spanish | 1 | | English | 1 | | Morris | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Commissioner" | | 3 | "Victorian" |
| | globalScore | 0.653 | | windowScore | 0.5 | |
| 44.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 3 | | matches | | 0 | "statues that seemed to watch her with eyes carved from quartz" | | 1 | "looked like bone and glass lined curved p" | | 2 | "shadows that seemed to breathe and move of their own accord" | | 3 | "quite human, full of wares she couldn't begin to understand" |
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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 | 1463 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 121 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 27.09 | | std | 19.73 | | cv | 0.728 | | sampleLengths | | 0 | 76 | | 1 | 44 | | 2 | 2 | | 3 | 44 | | 4 | 59 | | 5 | 43 | | 6 | 56 | | 7 | 13 | | 8 | 64 | | 9 | 7 | | 10 | 2 | | 11 | 59 | | 12 | 40 | | 13 | 12 | | 14 | 74 | | 15 | 53 | | 16 | 21 | | 17 | 13 | | 18 | 5 | | 19 | 35 | | 20 | 21 | | 21 | 26 | | 22 | 28 | | 23 | 24 | | 24 | 11 | | 25 | 30 | | 26 | 3 | | 27 | 23 | | 28 | 20 | | 29 | 50 | | 30 | 5 | | 31 | 43 | | 32 | 29 | | 33 | 7 | | 34 | 44 | | 35 | 2 | | 36 | 12 | | 37 | 37 | | 38 | 7 | | 39 | 51 | | 40 | 47 | | 41 | 7 | | 42 | 26 | | 43 | 4 | | 44 | 8 | | 45 | 16 | | 46 | 26 | | 47 | 28 | | 48 | 3 | | 49 | 22 |
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| 98.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 101 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 217 | | matches | (empty) | |
| 72.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 121 | | ratio | 0.025 | | matches | | 0 | "The smell hit her first—rot and cooking oil and something else, something metallic that clung to the back of her throat." | | 1 | "In the lantern-light, she could see his face now—young, sharp-featured, with dark curls plastered to his forehead from the rain." | | 2 | "The suspect—the young one—spoke again, his voice quieter now." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1196 | | adjectiveStacks | 1 | | stackExamples | | 0 | "inside, leather-bound books" |
| | adverbCount | 28 | | adverbRatio | 0.023411371237458192 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0033444816053511705 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 12.09 | | std | 8.34 | | cv | 0.69 | | sampleLengths | | 0 | 27 | | 1 | 24 | | 2 | 25 | | 3 | 17 | | 4 | 13 | | 5 | 6 | | 6 | 8 | | 7 | 2 | | 8 | 11 | | 9 | 4 | | 10 | 29 | | 11 | 21 | | 12 | 23 | | 13 | 15 | | 14 | 8 | | 15 | 20 | | 16 | 15 | | 17 | 7 | | 18 | 16 | | 19 | 11 | | 20 | 22 | | 21 | 5 | | 22 | 8 | | 23 | 29 | | 24 | 11 | | 25 | 24 | | 26 | 7 | | 27 | 2 | | 28 | 34 | | 29 | 25 | | 30 | 17 | | 31 | 23 | | 32 | 12 | | 33 | 9 | | 34 | 31 | | 35 | 34 | | 36 | 20 | | 37 | 20 | | 38 | 13 | | 39 | 21 | | 40 | 13 | | 41 | 5 | | 42 | 3 | | 43 | 20 | | 44 | 9 | | 45 | 1 | | 46 | 2 | | 47 | 6 | | 48 | 11 | | 49 | 4 |
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| 50.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.3884297520661157 | | totalSentences | 121 | | uniqueOpeners | 47 | |
| 76.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 87 | | matches | | 0 | "Even the fountain seemed to" | | 1 | "Then the younger one nodded," |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 87 | | matches | | 0 | "She'd learned to make that" | | 1 | "He cut down a narrow" | | 2 | "Her torch cut a pale" | | 3 | "She'd heard rumors about places" | | 4 | "Her partner had been looking" | | 5 | "She kept one hand on" | | 6 | "His eyes met hers, and" | | 7 | "His accent was foreign, Spanish" | | 8 | "He was older, silver-templed, dressed" | | 9 | "His face was pleasant and" | | 10 | "He gestured vaguely at the" | | 11 | "She didn't know how he" | | 12 | "She'd kept it as a" | | 13 | "She wore it now beneath" | | 14 | "He didn't finish." | | 15 | "He didn't have to." | | 16 | "She'd survived eighteen years by" | | 17 | "She'd survived by refusing to" | | 18 | "He pulled out a bone" | | 19 | "It was warm, almost alive," |
| | ratio | 0.23 | |
| 69.20% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 87 | | matches | | 0 | "The rain had been falling" | | 1 | "Detective Harlow Quinn ran through" | | 2 | "Quinn pushed harder, feeling the" | | 3 | "She'd learned to make that" | | 4 | "The words echoed off the" | | 5 | "The suspect didn't slow." | | 6 | "He cut down a narrow" | | 7 | "The smell hit her first—rot" | | 8 | "Her torch cut a pale" | | 9 | "The alley ended at an" | | 10 | "Quinn slowed, sweeping her torch" | | 11 | "She'd heard rumors about places" | | 12 | "Underground markets that didn't appear" | | 13 | "Her partner had been looking" | | 14 | "Morris had been chasing shadows." | | 15 | "Quinn had promised herself she" | | 16 | "The decision took less than" | | 17 | "The stairs turned twice before" | | 18 | "The walls were tiled in" | | 19 | "Voices filtered up from below," |
| | ratio | 0.782 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | 0 | "Before whatever had taken him" |
| | ratio | 0.011 | |
| 14.29% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 9 | | matches | | 0 | "The rain had been falling for three days straight, turning London's streets into rivers that pooled in the gutters and reflected the neon signs like bleeding wo…" | | 1 | "Detective Harlow Quinn ran through Soho, her boots splashing through ankle-deep water, the wet fabric of her coat dragging against her shoulders like weights." | | 2 | "Her torch cut a pale wedge through the dark, illuminating graffitied walls and a rat that froze mid-scurry before vanishing into a drain." | | 3 | "The stairs turned twice before opening into a corridor lit by hanging lanterns that burned with no visible flame, their light shifting between amber and somethi…" | | 4 | "The walls were tiled in white and black in a pattern that pulled at her eyes, and the floor was worn smooth by countless feet." | | 5 | "Vendors called out in half-whispers, their wares laid out on velvet: jars of something that shifted inside, leather-bound books with covers that moved when she …" | | 6 | "And in the center, near a fountain that ran with something darker than water, the suspect stood talking to another man." | | 7 | "She'd survived eighteen years by trusting her instincts, by walking into rooms that wanted her dead and walking out again with her suspect in cuffs." | | 8 | "The young suspect and the silver-haired man exchanged a look that carried weight Quinn couldn't measure." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.212 | | leniency | 0.424 | | rawRatio | 0 | | effectiveRatio | 0 | |