| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.8 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1032 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1032 | | totalAiIsms | 36 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "flickered" | | 1 | "raced" | | 2 | "chill" | | 3 | "jaw clenched" | | 4 | "foreboding" | | 5 | "gloom" | | 6 | "quickened" | | 7 | "glistening" | | 8 | "maw" | | 9 | "pounding" | | 10 | "echoed" | | 11 | "silence" | | 12 | "loomed" | | 13 | "familiar" | | 14 | "weight" | | 15 | "stomach" | | 16 | "sinister" | | 17 | "scanning" | | 18 | "oppressive" | | 19 | "footsteps" | | 20 | "racing" | | 21 | "stark" | | 22 | "tension" | | 23 | "determined" | | 24 | "looming" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "jaw clenched" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | 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 | 1021 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 67.94% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 914 | | uniqueNames | 6 | | maxNameDensity | 1.64 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 15 | | London | 1 | | Veil | 1 | | Market | 1 |
| | persons | | | places | | | globalScore | 0.679 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like an entrance to another chambe" |
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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 | 1021 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 24.31 | | std | 15.31 | | cv | 0.63 | | sampleLengths | | 0 | 57 | | 1 | 28 | | 2 | 9 | | 3 | 37 | | 4 | 50 | | 5 | 50 | | 6 | 30 | | 7 | 17 | | 8 | 44 | | 9 | 28 | | 10 | 9 | | 11 | 48 | | 12 | 36 | | 13 | 10 | | 14 | 43 | | 15 | 44 | | 16 | 7 | | 17 | 27 | | 18 | 41 | | 19 | 7 | | 20 | 49 | | 21 | 17 | | 22 | 16 | | 23 | 14 | | 24 | 21 | | 25 | 13 | | 26 | 23 | | 27 | 23 | | 28 | 12 | | 29 | 13 | | 30 | 18 | | 31 | 9 | | 32 | 11 | | 33 | 26 | | 34 | 27 | | 35 | 11 | | 36 | 1 | | 37 | 45 | | 38 | 9 | | 39 | 29 | | 40 | 5 | | 41 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 192 | | matches | | |
| 9.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 86 | | ratio | 0.047 | | matches | | 0 | "Just ahead, she caught a glimpse of the suspect—a silhouette against a rusted gate." | | 1 | "The rumors swirled around this place—deals made in shadows, whispers of supernatural goods exchanged under eye-watering prices." | | 2 | "Scents wafted in thick waves—exotic spices, incense, or maybe something more sinister." | | 3 | "She kept her eyes on him, weaving between the stalls strewn with wares both peculiar and grotesque—jars filled with iridescent liquids, strange talismans that glimmered and hummed." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 923 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.028169014084507043 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007583965330444204 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 11.87 | | std | 5.82 | | cv | 0.49 | | sampleLengths | | 0 | 15 | | 1 | 14 | | 2 | 16 | | 3 | 12 | | 4 | 9 | | 5 | 15 | | 6 | 4 | | 7 | 9 | | 8 | 9 | | 9 | 8 | | 10 | 20 | | 11 | 16 | | 12 | 18 | | 13 | 16 | | 14 | 18 | | 15 | 11 | | 16 | 4 | | 17 | 17 | | 18 | 10 | | 19 | 8 | | 20 | 1 | | 21 | 11 | | 22 | 17 | | 23 | 17 | | 24 | 18 | | 25 | 3 | | 26 | 6 | | 27 | 7 | | 28 | 14 | | 29 | 7 | | 30 | 9 | | 31 | 11 | | 32 | 20 | | 33 | 17 | | 34 | 3 | | 35 | 17 | | 36 | 16 | | 37 | 10 | | 38 | 14 | | 39 | 12 | | 40 | 17 | | 41 | 8 | | 42 | 27 | | 43 | 9 | | 44 | 7 | | 45 | 21 | | 46 | 6 | | 47 | 14 | | 48 | 7 | | 49 | 20 |
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| 63.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4069767441860465 | | totalSentences | 86 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 81 | | matches | | 0 | "Only silence loomed beyond, and" | | 1 | "Just ahead, she caught a" | | 2 | "Then darkness fell, swallowing them" |
| | ratio | 0.037 | |
| 22.47% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 81 | | matches | | 0 | "Her breath formed misty clouds" | | 1 | "She chased, adrenaline surging." | | 2 | "she shouted, her voice cutting" | | 3 | "He glanced back, eyes wide," | | 4 | "She skidded to a halt" | | 5 | "She hated uncertainty, but this" | | 6 | "she muttered, taking a deep" | | 7 | "She stepped into a hidden" | | 8 | "Her heart raced." | | 9 | "He paused, glancing back over" | | 10 | "she called, steadying her voice" | | 11 | "He pushed through the gate" | | 12 | "She stood at the brink" | | 13 | "Her stomach twisted." | | 14 | "She should report back, call" | | 15 | "she whispered, pushing past the" | | 16 | "She kept her eyes on" | | 17 | "she yelled, lunging forward" | | 18 | "He shot a glance over" | | 19 | "He veered left into a" |
| | ratio | 0.494 | |
| 21.73% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 81 | | matches | | 0 | "The rain fell in sheets," | | 1 | "The streetlights flickered above her," | | 2 | "Each step sent her leather" | | 3 | "Her breath formed misty clouds" | | 4 | "Quinn’s sharp jaw clenched as" | | 5 | "The alley’s mouth gaped dark" | | 6 | "She chased, adrenaline surging." | | 7 | "she shouted, her voice cutting" | | 8 | "He glanced back, eyes wide," | | 9 | "Quinn pushed herself harder, muscles" | | 10 | "The suspect ducked down an" | | 11 | "The sound of rain muted" | | 12 | "The light from the street" | | 13 | "Quinn muttered under her breath," | | 14 | "She skidded to a halt" | | 15 | "Quinn hesitated, tightening her grip" | | 16 | "She hated uncertainty, but this" | | 17 | "The weight of a thousand" | | 18 | "she muttered, taking a deep" | | 19 | "She stepped into a hidden" |
| | ratio | 0.877 | |
| 61.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 81 | | matches | | 0 | "Before he could react, Quinn" |
| | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 1 | | matches | | 0 | "She kept her eyes on him, weaving between the stalls strewn with wares both peculiar and grotesque—jars filled with iridescent liquids, strange talismans that g…" |
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| 31.25% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 3 | | matches | | 0 | "she shouted, her voice cutting through the downpour" | | 1 | "Quinn muttered, the pounding of rain against cobblestones drowned out her thoughts" | | 2 | "he shouted, desperation spilling from his words" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 10 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "Quinn muttered (mutter)" | | 2 | "she muttered (mutter)" | | 3 | "she whispered (whisper)" | | 4 | "she yelled (yell)" | | 5 | "she panted (pant)" | | 6 | "Quinn demanded (demand)" | | 7 | "he shouted (shout)" | | 8 | "she ordered (order)" | | 9 | "he hissed (hiss)" |
| | dialogueSentences | 20 | | tagDensity | 0.55 | | leniency | 1 | | rawRatio | 0.909 | | effectiveRatio | 0.909 | |