| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 986 | | 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) | |
| 18.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 986 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "whisper" | | 1 | "glinting" | | 2 | "pulse" | | 3 | "could feel" | | 4 | "effortless" | | 5 | "facade" | | 6 | "pulsed" | | 7 | "gloom" | | 8 | "echoed" | | 9 | "resolved" | | 10 | "cacophony" | | 11 | "dancing" | | 12 | "crystal" | | 13 | "chaotic" | | 14 | "glistening" | | 15 | "chilling" |
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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 | 1 | | narrationSentences | 82 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | 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 | 0 | | markdownWords | 0 | | totalWords | 986 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.12% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 967 | | uniqueNames | 8 | | maxNameDensity | 1.14 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 11 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Tube | 2 | | Veil | 1 | | Market | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Morris" |
| | places | | | globalScore | 0.931 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like another one of those nights" | | 1 | "seemed boundless" | | 2 | "not quite running, more like flowing over the uneven ground" | | 3 | "looked like an abandoned Tube station, it" | | 4 | "something like ozone" |
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| 98.58% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.014 | | wordCount | 986 | | matches | | 0 | "not just for herself, but for the very ground she stood on" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 51.89 | | std | 26.98 | | cv | 0.52 | | sampleLengths | | 0 | 55 | | 1 | 15 | | 2 | 80 | | 3 | 93 | | 4 | 64 | | 5 | 89 | | 6 | 73 | | 7 | 8 | | 8 | 50 | | 9 | 51 | | 10 | 32 | | 11 | 71 | | 12 | 50 | | 13 | 87 | | 14 | 12 | | 15 | 20 | | 16 | 55 | | 17 | 16 | | 18 | 65 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 82 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 157 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 84 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 971 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03398558187435633 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010298661174047374 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 11.74 | | std | 5.73 | | cv | 0.488 | | sampleLengths | | 0 | 8 | | 1 | 11 | | 2 | 14 | | 3 | 22 | | 4 | 15 | | 5 | 4 | | 6 | 11 | | 7 | 19 | | 8 | 13 | | 9 | 14 | | 10 | 11 | | 11 | 8 | | 12 | 13 | | 13 | 2 | | 14 | 5 | | 15 | 10 | | 16 | 19 | | 17 | 10 | | 18 | 27 | | 19 | 2 | | 20 | 5 | | 21 | 15 | | 22 | 12 | | 23 | 18 | | 24 | 13 | | 25 | 6 | | 26 | 15 | | 27 | 20 | | 28 | 20 | | 29 | 15 | | 30 | 6 | | 31 | 3 | | 32 | 10 | | 33 | 14 | | 34 | 7 | | 35 | 17 | | 36 | 5 | | 37 | 22 | | 38 | 8 | | 39 | 8 | | 40 | 10 | | 41 | 22 | | 42 | 6 | | 43 | 8 | | 44 | 4 | | 45 | 9 | | 46 | 13 | | 47 | 29 | | 48 | 12 | | 49 | 8 |
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| 40.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.32142857142857145 | | totalSentences | 84 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 80 | | matches | | 0 | "It just kept moving, a" | | 1 | "It had led her from" | | 2 | "She pumped her arms, her" | | 3 | "He burst onto a wider" | | 4 | "She pivoted on instinct, her" | | 5 | "She could feel the stretch" | | 6 | "They emerged near a rail" | | 7 | "She’d seen that effortless speed" | | 8 | "She rounded the corner, her" | | 9 | "Her hand went to her" | | 10 | "She kept low, moving with" | | 11 | "Her breath caught." | | 12 | "It was alive." | | 13 | "She'd heard rumours, hushed words" | | 14 | "Her gaze swept the chaotic" | | 15 | "She was deep in enemy" | | 16 | "It was massive, bipedal, with" | | 17 | "Its face was a slab" | | 18 | "it growled, its breath hot" | | 19 | "She drove her foot into" |
| | ratio | 0.263 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 80 | | matches | | 0 | "The alley reeked of stale" | | 1 | "Quinn's boots slapped against flooded" | | 2 | "Rain plastered her closely cropped" | | 3 | "The command tore from Quinn's" | | 4 | "The figure didn't falter." | | 5 | "It just kept moving, a" | | 6 | "It had led her from" | | 7 | "She pumped her arms, her" | | 8 | "This felt like another one" | | 9 | "He burst onto a wider" | | 10 | "Pedestrians scattered like startled pigeons." | | 11 | "Quinn ignored them, her gaze" | | 12 | "A black cab swerved, its" | | 13 | "She pivoted on instinct, her" | | 14 | "A sharp gust of wind" | | 15 | "The suspect wouldn't head there." | | 16 | "The figure ducked into a" | | 17 | "Quinn followed, pushing past discarded" | | 18 | "The passage funnelled them deeper," | | 19 | "She could feel the stretch" |
| | ratio | 0.925 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 80 | | matches | | 0 | "Now, the cargo was gone," | | 1 | "To her right, a robed" |
| | ratio | 0.025 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 3 | | matches | | 0 | "She rounded the corner, her breath coming in ragged gasps, and found herself facing a dead end." | | 1 | "The sound of distant, distorted chatter echoed through the darkness, a murmur that resolved into a cacophony of strange voices and clinking, scraping noises as …" | | 2 | "She drove her foot into its knee, a move that would have brought any man to the ground." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "it growled, its breath hot and foul" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |