| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 950 | | 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) | |
| 42.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 950 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "measured" | | 1 | "flickered" | | 2 | "weight" | | 3 | "silence" | | 4 | "echoing" | | 5 | "gloom" | | 6 | "etched" | | 7 | "pulse" | | 8 | "flicker" | | 9 | "shimmered" | | 10 | "trembled" |
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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 | 93 | | matches | (empty) | |
| 96.77% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 938 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 52.32% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 819 | | uniqueNames | 8 | | maxNameDensity | 1.95 | | worstName | "Herrera" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 14 | | Herrera | 16 | | Morris | 2 | | Saint | 2 | | Christopher | 2 | | Veil | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Morris" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Veil" |
| | places | | | globalScore | 0.523 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 93.39% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.066 | | wordCount | 938 | | matches | | 0 | "not from the storm above, but from something far older" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 26.8 | | std | 19.16 | | cv | 0.715 | | sampleLengths | | 0 | 44 | | 1 | 79 | | 2 | 62 | | 3 | 6 | | 4 | 35 | | 5 | 48 | | 6 | 18 | | 7 | 20 | | 8 | 56 | | 9 | 3 | | 10 | 39 | | 11 | 32 | | 12 | 50 | | 13 | 40 | | 14 | 36 | | 15 | 14 | | 16 | 24 | | 17 | 13 | | 18 | 68 | | 19 | 17 | | 20 | 16 | | 21 | 27 | | 22 | 29 | | 23 | 24 | | 24 | 19 | | 25 | 4 | | 26 | 16 | | 27 | 22 | | 28 | 15 | | 29 | 24 | | 30 | 6 | | 31 | 15 | | 32 | 12 | | 33 | 2 | | 34 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 66.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 150 | | matches | | 0 | "was heading" | | 1 | "wasn’t running" | | 2 | "wasn’t running" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 103 | | ratio | 0.107 | | matches | | 0 | "Tomás Herrera’s silhouette flickered between two parked vans ahead—a quick dart to the right, a sharp left into a cut-through between buildings." | | 1 | "Ahead, Herrera’s Saint Christopher medallion glinted under a flickering streetlamp—his only signal in the murk." | | 2 | "Three cases now—three bodies found drained of something unnatural." | | 3 | "Below, the alley narrowed into a choke point—trash bins stacked against a brick wall, the faint reek of piss and something older, something buried." | | 4 | "Her knee twinged—old padding from a stunt gone wrong—but she pushed through." | | 5 | "The stench hit first—damp rot and something metallic, like old coins left in blood." | | 6 | "Just the drip of water from leaking pipes and the distant hum of voices—low, urgent, layered with something that made her skin prickle." | | 7 | "A figure emerged—a woman with silver-streaked hair tied in a messy knot, her face half-hidden behind a lace veil." | | 8 | "His eyes locked with Quinn’s—a silent conflict played out behind them." | | 9 | "The exit—a narrow corridor lined with flickering gas lamps—seemed to breathe, drawing Herrera in as if the corridor itself were alive." | | 10 | "The ground beneath Quinn’s feet trembled—not from the storm above, but from something far older." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 835 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.032335329341317366 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0011976047904191617 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 9.11 | | std | 5.83 | | cv | 0.64 | | sampleLengths | | 0 | 18 | | 1 | 19 | | 2 | 5 | | 3 | 2 | | 4 | 22 | | 5 | 16 | | 6 | 16 | | 7 | 7 | | 8 | 6 | | 9 | 12 | | 10 | 11 | | 11 | 14 | | 12 | 15 | | 13 | 5 | | 14 | 3 | | 15 | 14 | | 16 | 5 | | 17 | 1 | | 18 | 3 | | 19 | 16 | | 20 | 2 | | 21 | 1 | | 22 | 13 | | 23 | 4 | | 24 | 4 | | 25 | 22 | | 26 | 18 | | 27 | 7 | | 28 | 9 | | 29 | 2 | | 30 | 12 | | 31 | 8 | | 32 | 10 | | 33 | 7 | | 34 | 12 | | 35 | 6 | | 36 | 9 | | 37 | 12 | | 38 | 3 | | 39 | 10 | | 40 | 24 | | 41 | 5 | | 42 | 8 | | 43 | 12 | | 44 | 2 | | 45 | 4 | | 46 | 6 | | 47 | 16 | | 48 | 14 | | 49 | 3 |
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| 54.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3592233009708738 | | totalSentences | 103 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 83 | | matches | | 0 | "Just her, the rain, and" | | 1 | "Then he lunged for a" | | 2 | "Too many hesitations in this" | | 3 | "Just the drip of water" | | 4 | "Then, without a word, he" | | 5 | "Then she descended." |
| | ratio | 0.072 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 83 | | matches | | 0 | "She rounded the corner too" | | 1 | "Her free hand shot out," | | 2 | "He wasn’t running full tilt." | | 3 | "He knew these alleys better" | | 4 | "He didn’t turn." | | 5 | "She didn’t shout again." | | 6 | "Her voice cut through the" | | 7 | "She’d stopped questioning how Herrera" | | 8 | "She climbed faster." | | 9 | "Her knee twinged—old padding from" | | 10 | "She shouldered through the rusted" | | 11 | "He wasn’t running anymore." | | 12 | "His scarred forearm flexed as" | | 13 | "She stopped three feet from" | | 14 | "She carried a bone in" | | 15 | "she said, her voice like" | | 16 | "His eyes locked with Quinn’s—a" | | 17 | "She unsnapped her holster." | | 18 | "She stepped forward, boot hitting" |
| | ratio | 0.229 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 83 | | matches | | 0 | "The rain hammered down in" | | 1 | "Detective Harlow Quinn kept her" | | 2 | "Tomás Herrera’s silhouette flickered between" | | 3 | "Quinn picked up her stride," | | 4 | "She rounded the corner too" | | 5 | "Her free hand shot out," | | 6 | "He wasn’t running full tilt." | | 7 | "He knew these alleys better" | | 8 | "Quinn exhaled through her teeth." | | 9 | "He didn’t turn." | | 10 | "She didn’t shout again." | | 11 | "Quinn hurdled a stack of" | | 12 | "The rain blurred her vision," | | 13 | "Her voice cut through the" | | 14 | "Herrera risked a glance over" | | 15 | "The words hung between them," | | 16 | "Quinn’s grip tightened on the" | | 17 | "She’d stopped questioning how Herrera" | | 18 | "She climbed faster." | | 19 | "The fire escape creaked under" |
| | ratio | 0.687 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "Just the drip of water from leaking pipes and the distant hum of voices—low, urgent, layered with something that made her skin prickle." | | 1 | "The exit—a narrow corridor lined with flickering gas lamps—seemed to breathe, drawing Herrera in as if the corridor itself were alive." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.267 | | leniency | 0.533 | | rawRatio | 0 | | effectiveRatio | 0 | |