| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 982 | | totalAiIsmAdverbs | 1 | | 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) | |
| 28.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 982 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "chill" | | 1 | "warmth" | | 2 | "pulsed" | | 3 | "trembled" | | 4 | "silence" | | 5 | "vibrated" | | 6 | "flickered" | | 7 | "familiar" | | 8 | "flicked" | | 9 | "whisper" | | 10 | "etching" | | 11 | "complex" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 103 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 103 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | 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 | 979 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 958 | | uniqueNames | 6 | | maxNameDensity | 0.52 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 1 | | Richmond | 1 | | Park | 1 | | Grove | 1 | | London | 1 | | Rory | 5 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 73.08% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a childhood toy, discarded an" | | 1 | "as if following her movement" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.043 | | wordCount | 979 | | matches | | 0 | "Not an absence of sound, but a suppression" | | 1 | "not outwards, but downwards, into the ground beneath her" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 31.58 | | std | 19.74 | | cv | 0.625 | | sampleLengths | | 0 | 16 | | 1 | 69 | | 2 | 61 | | 3 | 50 | | 4 | 61 | | 5 | 12 | | 6 | 55 | | 7 | 21 | | 8 | 7 | | 9 | 42 | | 10 | 4 | | 11 | 47 | | 12 | 11 | | 13 | 58 | | 14 | 7 | | 15 | 43 | | 16 | 8 | | 17 | 27 | | 18 | 47 | | 19 | 4 | | 20 | 38 | | 21 | 16 | | 22 | 17 | | 23 | 29 | | 24 | 36 | | 25 | 57 | | 26 | 49 | | 27 | 28 | | 28 | 14 | | 29 | 12 | | 30 | 33 |
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| 98.45% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 103 | | matches | | 0 | "being studied" | | 1 | "was gone" |
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| 61.11% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 144 | | matches | | 0 | "was humming" | | 1 | "were herding" | | 2 | "were pushing" |
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| 6.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 105 | | ratio | 0.048 | | matches | | 0 | "The distant hum of the A316, the rustle of foxes in the bracken, the sigh of the city—all of it vanished, swallowed whole." | | 1 | "The screen flickered, the numbers stuttering—11:48..." | | 2 | "11:55—before going black." | | 3 | "A sensation—cold, dry, and full of a terrible, ancient curiosity." | | 4 | "They weren't rough; they were gentle, almost tender, but implacably strong." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 963 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02596053997923157 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006230529595015576 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 9.32 | | std | 6.51 | | cv | 0.698 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 3 | | 3 | 19 | | 4 | 9 | | 5 | 16 | | 6 | 6 | | 7 | 7 | | 8 | 13 | | 9 | 29 | | 10 | 12 | | 11 | 20 | | 12 | 24 | | 13 | 6 | | 14 | 6 | | 15 | 4 | | 16 | 8 | | 17 | 23 | | 18 | 15 | | 19 | 5 | | 20 | 3 | | 21 | 9 | | 22 | 16 | | 23 | 11 | | 24 | 5 | | 25 | 2 | | 26 | 6 | | 27 | 1 | | 28 | 3 | | 29 | 3 | | 30 | 1 | | 31 | 7 | | 32 | 4 | | 33 | 8 | | 34 | 9 | | 35 | 7 | | 36 | 2 | | 37 | 11 | | 38 | 5 | | 39 | 14 | | 40 | 6 | | 41 | 4 | | 42 | 2 | | 43 | 2 | | 44 | 6 | | 45 | 18 | | 46 | 1 | | 47 | 1 | | 48 | 17 | | 49 | 4 |
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| 42.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.2980769230769231 | | totalSentences | 104 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 90 | | matches | | 0 | "11:55—before going black." | | 1 | "Too tall, too thin, all" | | 2 | "Only the hum, and the" |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 90 | | matches | | 0 | "It lost the chill of" | | 1 | "She pulled the pendant out" | | 2 | "It had never done that" | | 3 | "She’d come because the dreams" | | 4 | "She moved towards the centre" | | 5 | "She glanced at her phone." | | 6 | "She shook it." | | 7 | "She held her breath, ears" | | 8 | "She turned again, slower this" | | 9 | "Her heart hammered a frantic" | | 10 | "She rubbed it absently." | | 11 | "It wasn't a trick of" | | 12 | "It moved with a liquid" | | 13 | "It didn't approach." | | 14 | "It just stood there, a" | | 15 | "She took a deliberate step" | | 16 | "Her eyes never left the" | | 17 | "It mirrored her." | | 18 | "She flicked her gaze." | | 19 | "They were herding her." |
| | ratio | 0.3 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 90 | | matches | | 0 | "The Heartstone pendant seared a" | | 1 | "Rory froze, one foot in" | | 2 | "The air changed." | | 3 | "It lost the chill of" | | 4 | "She pulled the pendant out" | | 5 | "The deep crimson gem pulsed" | | 6 | "It had never done that" | | 7 | "She’d come because the dreams" | | 8 | "A stupid reason to break" | | 9 | "The oak standing stones formed" | | 10 | "Wildflowers she couldn’t name carpeted" | | 11 | "Rory took a full step" | | 12 | "The silence was wrong." | | 13 | "The distant hum of the" | | 14 | "The ground itself was humming." | | 15 | "The word fell flat, absorbed" | | 16 | "She moved towards the centre" | | 17 | "The pendant’s warmth intensified from" | | 18 | "She glanced at her phone." | | 19 | "The screen flickered, the numbers" |
| | ratio | 0.833 | |
| 55.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 90 | | matches | | 0 | "Now, standing here, logic felt" |
| | ratio | 0.011 | |
| 57.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 5 | | matches | | 0 | "The oak standing stones formed a rough circle, their surfaces slick with moss that glimmered with a faint, fungal bioluminescence." | | 1 | "Wildflowers she couldn’t name carpeted the ground, blooming in violent purples and yellows under a moon that seemed both too large and too close." | | 2 | "The petals of a cluster of violet blooms turned towards her, as if following her movement." | | 3 | "A second shadow, same impossible proportions, now leaning against a tree that hadn't been there a moment before." | | 4 | "The hum in the ground rose to a discernible pitch, a melodic, atonal drone that vibrated in her teeth." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice steadier than she felt" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |