| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1126 | | totalAiIsmAdverbs | 3 | | 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) | |
| 55.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1126 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "footsteps" | | 3 | "flicked" | | 4 | "pulse" | | 5 | "shimmered" | | 6 | "pulsed" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "air was thick with" | | count | 2 |
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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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | (empty) | |
| 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 | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1110 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1058 | | uniqueNames | 5 | | maxNameDensity | 1.32 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 14 | | Londoner | 1 | | Raven | 1 | | Nest | 1 | | Tomás | 7 |
| | persons | | | places | | | globalScore | 0.838 | | windowScore | 0.833 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 2 | | matches | | 0 | "something like exhaustion" | | 1 | "looked like they belonged in a fantasy no" |
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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 | 1110 | | matches | (empty) | |
| 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 | 32 | | mean | 34.69 | | std | 18.05 | | cv | 0.52 | | sampleLengths | | 0 | 69 | | 1 | 65 | | 2 | 48 | | 3 | 65 | | 4 | 49 | | 5 | 61 | | 6 | 13 | | 7 | 30 | | 8 | 8 | | 9 | 7 | | 10 | 43 | | 11 | 13 | | 12 | 19 | | 13 | 11 | | 14 | 34 | | 15 | 27 | | 16 | 19 | | 17 | 41 | | 18 | 52 | | 19 | 8 | | 20 | 29 | | 21 | 37 | | 22 | 64 | | 23 | 34 | | 24 | 14 | | 25 | 48 | | 26 | 35 | | 27 | 42 | | 28 | 34 | | 29 | 36 | | 30 | 26 | | 31 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 95 | | matches | | |
| 21.75% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 187 | | matches | | 0 | "was running" | | 1 | "was going" | | 2 | "was seeing" | | 3 | "wasn’t leaving" | | 4 | "wasn’t leaving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 103 | | ratio | 0.107 | | matches | | 0 | "She’d followed him from the Raven’s Nest, where the scent of old whiskey and something sharper—like ozone after a storm—had clung to the air." | | 1 | "But the way he’d looked over his shoulder before bolting, like he’d known she was there before she’d even stepped into the shadows—something about that told her he wasn’t just running from a detective." | | 2 | "But the way he’d moved—too sure, too precise—made her think he knew where he was going." | | 3 | "Then—footsteps on the metal stairs above her." | | 4 | "He turned, his face half-lit by the bulb, his expression a mix of surprise and something darker—relief, maybe, or recognition." | | 5 | "The man—*Tomás*—was already moving, his body low and fast, his movements fluid despite the darkness." | | 6 | "The air was thick with the scent of smoke and something else—something sweet and acrid, like burnt sugar." | | 7 | "The goods on display were strange—bottles of liquid that shimmered like liquid silver, jars of something that pulsed with a faint inner light, and weapons that looked like they belonged in a fantasy novel." | | 8 | "But she knew one thing—she wasn’t leaving until she did." | | 9 | "The man—*Tomás*—was already moving, his body low and fast, his movements fluid despite the darkness." | | 10 | "But she knew one thing—she wasn’t leaving until she did." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1074 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.038175046554934824 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0037243947858473 | |
| 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 | 10.78 | | std | 6.91 | | cv | 0.641 | | sampleLengths | | 0 | 23 | | 1 | 26 | | 2 | 20 | | 3 | 13 | | 4 | 24 | | 5 | 28 | | 6 | 4 | | 7 | 4 | | 8 | 34 | | 9 | 6 | | 10 | 19 | | 11 | 11 | | 12 | 5 | | 13 | 6 | | 14 | 16 | | 15 | 8 | | 16 | 21 | | 17 | 14 | | 18 | 3 | | 19 | 1 | | 20 | 7 | | 21 | 3 | | 22 | 3 | | 23 | 19 | | 24 | 20 | | 25 | 8 | | 26 | 3 | | 27 | 8 | | 28 | 13 | | 29 | 3 | | 30 | 10 | | 31 | 17 | | 32 | 8 | | 33 | 4 | | 34 | 3 | | 35 | 19 | | 36 | 8 | | 37 | 16 | | 38 | 13 | | 39 | 3 | | 40 | 13 | | 41 | 3 | | 42 | 5 | | 43 | 6 | | 44 | 9 | | 45 | 8 | | 46 | 13 | | 47 | 4 | | 48 | 3 | | 49 | 11 |
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| 48.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.22330097087378642 | | totalSentences | 103 | | uniqueOpeners | 23 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 92 | | matches | | 0 | "Then—footsteps on the metal stairs" | | 1 | "Just stared at her, his" | | 2 | "Instead, she dragged him to" | | 3 | "Just stared at the ground," | | 4 | "Then, suddenly, he grabbed her" | | 5 | "Just kept moving, his hand" | | 6 | "Then, suddenly, the tunnel opened" | | 7 | "Then, suddenly, a hand clamped" |
| | ratio | 0.087 | |
| 59.13% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 92 | | matches | | 0 | "She ducked beneath the flickering" | | 1 | "She’d followed him from the" | | 2 | "She didn’t recognise him." | | 3 | "He was running from something" | | 4 | "She could lose him here." | | 5 | "She followed the sound of" | | 6 | "She didn’t hesitate." | | 7 | "She sprinted, her boots clicking" | | 8 | "He turned, his face half-lit" | | 9 | "He didn’t fight." | | 10 | "he said, voice rough with" | | 11 | "She yanked him back down" | | 12 | "He didn’t resist, but his" | | 13 | "She didn’t let go." | | 14 | "He stumbled, catching himself against" | | 15 | "She followed, pressing her back" | | 16 | "he said, his voice low" | | 17 | "She pulled out her phone," | | 18 | "He laughed, sharp and bitter." | | 19 | "She stepped forward, her boot" |
| | ratio | 0.402 | |
| 57.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 92 | | matches | | 0 | "The rain lashed against Quinn’s" | | 1 | "She ducked beneath the flickering" | | 2 | "A man’s silhouette, hunched and" | | 3 | "Quinn adjusted the grip on" | | 4 | "She’d followed him from the" | | 5 | "The same scent that had" | | 6 | "She didn’t recognise him." | | 7 | "He was running from something" | | 8 | "The alleyway opened into a" | | 9 | "Quinn’s boots splashed through puddles," | | 10 | "She could lose him here." | | 11 | "The city swallowed people every" | | 12 | "She followed the sound of" | | 13 | "A single flickering bulb cast" | | 14 | "Quinn paused, listening." | | 15 | "She didn’t hesitate." | | 16 | "She sprinted, her boots clicking" | | 17 | "He turned, his face half-lit" | | 18 | "Quinn lunged, her fingers closing" | | 19 | "He didn’t fight." |
| | ratio | 0.804 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 92 | | matches | (empty) | | ratio | 0 | |
| 86.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 4 | | matches | | 0 | "The same scent that had clung to the suspect’s coat when she’d seized him outside the bar, his fingers twitching like he’d been holding something small and dang…" | | 1 | "She sprinted, her boots clicking against the metal, and grabbed the railing just as the figure reached the top." | | 2 | "She followed, pressing her back to the cold stone, her breath fogging in the damp air." | | 3 | "The goods on display were strange—bottles of liquid that shimmered like liquid silver, jars of something that pulsed with a faint inner light, and weapons that …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice rough with something like exhaustion" | | 1 | "he said, his voice low" |
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| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 11 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.333 | | effectiveRatio | 0.182 | |