| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 3 | | adverbTags | | 0 | "The man stumbled back [back]" | | 1 | "The words tasted like [like]" | | 2 | "She stepped aside [aside]" |
| | dialogueSentences | 28 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.429 | | effectiveRatio | 0.214 | |
| 90.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1017 | | 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) | |
| 31.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1017 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "pulse" | | 2 | "glinting" | | 3 | "flicked" | | 4 | "etched" | | 5 | "stomach" | | 6 | "weight" | | 7 | "scanned" | | 8 | "echoing" | | 9 | "footsteps" | | 10 | "pulsed" | | 11 | "tension" |
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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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 13 | | totalWords | 1007 | | ratio | 0.013 | | matches | | 0 | "Stupid move, running through Soho at midnight." | | 1 | "thump-thump" | | 2 | "Paranoid" | | 3 | "right" | | 4 | "alive" | | 5 | "wrong" | | 6 | "Stop." |
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| 75.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 1 | | matches | | 0 | "*Paranoid*, she told herself." |
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| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 867 | | uniqueNames | 8 | | maxNameDensity | 1.27 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Tommy" | | discoveredNames | | Soho | 1 | | Spanish | 1 | | Tomás | 2 | | Herrera | 1 | | Tommy | 10 | | Quinn | 11 | | Raven | 1 | | Nest | 1 |
| | persons | | 0 | "Tomás" | | 1 | "Herrera" | | 2 | "Tommy" | | 3 | "Quinn" | | 4 | "Raven" |
| | places | | | globalScore | 0.866 | | windowScore | 0.5 | |
| 16.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 3 | | matches | | 0 | "something like fear" | | 1 | "looked like it had been tailored for a di" | | 2 | "quite a smile" |
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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 | 1007 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 99 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 22.38 | | std | 20.44 | | cv | 0.913 | | sampleLengths | | 0 | 1 | | 1 | 69 | | 2 | 7 | | 3 | 64 | | 4 | 58 | | 5 | 4 | | 6 | 10 | | 7 | 37 | | 8 | 16 | | 9 | 6 | | 10 | 26 | | 11 | 35 | | 12 | 7 | | 13 | 11 | | 14 | 15 | | 15 | 32 | | 16 | 21 | | 17 | 12 | | 18 | 17 | | 19 | 8 | | 20 | 1 | | 21 | 53 | | 22 | 65 | | 23 | 13 | | 24 | 45 | | 25 | 71 | | 26 | 17 | | 27 | 6 | | 28 | 20 | | 29 | 10 | | 30 | 32 | | 31 | 8 | | 32 | 4 | | 33 | 49 | | 34 | 17 | | 35 | 4 | | 36 | 33 | | 37 | 4 | | 38 | 39 | | 39 | 5 | | 40 | 37 | | 41 | 8 | | 42 | 2 | | 43 | 3 | | 44 | 5 |
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| 91.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 78 | | matches | | 0 | "was cornered" | | 1 | "were lined" | | 2 | "been tailored" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 135 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 99 | | ratio | 0.091 | | matches | | 0 | "The suspect’s scent—leather, sweat, and the faint metallic tang of fear—was still thick in the air, though the rain had begun to thin the trail." | | 1 | "Not him—someone else." | | 2 | "She rounded the corner—" | | 3 | "—and collided with a wall of muscle and cursing Spanish." | | 4 | "The bar was a time capsule, the air thick with the scent of old whiskey and something sharper—ozone, maybe, or the faint metallic tang of blood." | | 5 | "\"I’m thinking *right*.\" Quinn scanned the room, her eyes landing on a figure near the back—a man in a tailored suit, his back to her, his fingers tapping a rhythm against a glass." | | 6 | "\"Answers cost money, Detective. Or favors.\" She stepped aside, revealing a hidden door in the wall—a bookshelf, its edges slightly askew." | | 7 | "The tunnel ahead wasn’t just dark—it was *wrong*." | | 8 | "The suspect stood at the mouth of the tunnel, his back to her, his hands raised as if in surrender—or invocation." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 879 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.026166097838452786 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0034129692832764505 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 10.15 | | std | 7.22 | | cv | 0.711 | | sampleLengths | | 0 | 19 | | 1 | 21 | | 2 | 4 | | 3 | 25 | | 4 | 7 | | 5 | 16 | | 6 | 15 | | 7 | 26 | | 8 | 7 | | 9 | 6 | | 10 | 3 | | 11 | 19 | | 12 | 17 | | 13 | 4 | | 14 | 3 | | 15 | 6 | | 16 | 4 | | 17 | 10 | | 18 | 16 | | 19 | 2 | | 20 | 19 | | 21 | 9 | | 22 | 7 | | 23 | 3 | | 24 | 3 | | 25 | 18 | | 26 | 8 | | 27 | 6 | | 28 | 17 | | 29 | 12 | | 30 | 4 | | 31 | 3 | | 32 | 7 | | 33 | 4 | | 34 | 10 | | 35 | 5 | | 36 | 11 | | 37 | 13 | | 38 | 8 | | 39 | 3 | | 40 | 18 | | 41 | 7 | | 42 | 5 | | 43 | 8 | | 44 | 9 | | 45 | 5 | | 46 | 3 | | 47 | 18 | | 48 | 14 | | 49 | 3 |
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| 42.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.29292929292929293 | | totalSentences | 99 | | uniqueOpeners | 29 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Just a drunk." | | 1 | "Then the light changed." |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 75 | | matches | | 0 | "She didn’t slow down." | | 1 | "Her breath hitched as she" | | 2 | "She could hear him now," | | 3 | "She rounded the corner—" | | 4 | "he wheezed, pressing a hand" | | 5 | "He tossed something onto the" | | 6 | "She met his gaze, unflinching." | | 7 | "She pushed through the door" | | 8 | "She started toward him, but" | | 9 | "She wore a coat that" | | 10 | "She stepped aside, revealing a" | | 11 | "She wrenched free." | | 12 | "She could hear Tommy’s footsteps" |
| | ratio | 0.173 | |
| 53.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 75 | | matches | | 0 | "The alley stank of wet" | | 1 | "Quinn’s boots splashed through puddles" | | 2 | "She didn’t slow down." | | 3 | "The suspect’s scent—leather, sweat, and" | | 4 | "Her breath hitched as she" | | 5 | "The alley narrowed, the walls" | | 6 | "She could hear him now," | | 7 | "A shadow moved ahead of" | | 8 | "A figure in a long" | | 9 | "Quinn’s hand twitched toward her" | | 10 | "She rounded the corner—" | | 11 | "The man stumbled back, his" | | 12 | "he wheezed, pressing a hand" | | 13 | "Quinn didn’t apologise." | | 14 | "Tommy’s dark eyes flicked toward" | | 15 | "He tossed something onto the" | | 16 | "A bone token, blackened at" | | 17 | "The kind of thing you" | | 18 | "Tommy followed her gaze." | | 19 | "The words tasted like ash" |
| | ratio | 0.813 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "—and collided with a wall" |
| | ratio | 0.013 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 5 | | matches | | 0 | "The alley stank of wet concrete and something older, something that clung to the damp like a second skin." | | 1 | "Quinn’s boots splashed through puddles that glowed sickly yellow under the flickering sodium lights, the reflections warping like oil on water." | | 2 | "A bone token, blackened at the edges, the surface etched with symbols that made Quinn’s stomach clench." | | 3 | "The woman tilted her head, her lips curling into something that wasn’t quite a smile." | | 4 | "The air that met her was thick, humid, the scent of damp stone and something sweet, like rotting fruit." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "the woman said, her voice smooth as whiskey" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 28 | | tagDensity | 0.071 | | leniency | 0.143 | | rawRatio | 0.5 | | effectiveRatio | 0.071 | |