| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "she asked again [again]" |
| | dialogueSentences | 34 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.059 | | effectiveRatio | 0.059 | |
| 82.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1470 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "perfectly" | | 1 | "suddenly" | | 2 | "very" | | 3 | "slightly" |
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| 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) | |
| 31.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1470 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | word | "down her spine" | | count | 1 |
| | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "pulsed" | | 1 | "tracing" | | 2 | "warmth" | | 3 | "silence" | | 4 | "echoed" | | 5 | "stomach" | | 6 | "dancing" | | 7 | "whisper" | | 8 | "footsteps" | | 9 | "raced" | | 10 | "trembled" | | 11 | "down her spine" | | 12 | "resolving" | | 13 | "silk" | | 14 | "sense of" |
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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 | 156 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 156 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 172 | | 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 | 1464 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 47.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1273 | | uniqueNames | 8 | | maxNameDensity | 2.04 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Silas | 3 | | Heartstone | 1 | | Silence | 2 | | Rory | 26 | | Evan | 9 | | Aftershave | 1 | | Close | 1 | | Had | 3 |
| | persons | | 0 | "Silas" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "Had" |
| | places | | | globalScore | 0.479 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like she'd plunged her limb into h" |
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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 | 1464 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 172 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 26.14 | | std | 13.18 | | cv | 0.504 | | sampleLengths | | 0 | 36 | | 1 | 52 | | 2 | 60 | | 3 | 38 | | 4 | 44 | | 5 | 15 | | 6 | 21 | | 7 | 34 | | 8 | 32 | | 9 | 42 | | 10 | 33 | | 11 | 11 | | 12 | 39 | | 13 | 6 | | 14 | 21 | | 15 | 6 | | 16 | 27 | | 17 | 17 | | 18 | 26 | | 19 | 5 | | 20 | 33 | | 21 | 35 | | 22 | 43 | | 23 | 12 | | 24 | 47 | | 25 | 18 | | 26 | 14 | | 27 | 17 | | 28 | 15 | | 29 | 41 | | 30 | 18 | | 31 | 36 | | 32 | 2 | | 33 | 11 | | 34 | 34 | | 35 | 42 | | 36 | 9 | | 37 | 24 | | 38 | 33 | | 39 | 14 | | 40 | 41 | | 41 | 39 | | 42 | 21 | | 43 | 30 | | 44 | 28 | | 45 | 30 | | 46 | 23 | | 47 | 19 | | 48 | 28 | | 49 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 156 | | matches | | 0 | "being dragged" | | 1 | "was gone" |
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| 86.52% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 235 | | matches | | 0 | "was being" | | 1 | "was jumping" | | 2 | "was getting" | | 3 | "was hunting" |
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| 93.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 172 | | ratio | 0.017 | | matches | | 0 | "Just the time—11:47 PM—staring back at her from the screen." | | 1 | "Rory spun back around, heart in her throat, and found herself face to face with—" | | 2 | "The isolation, the darkness, the creepy-ass warehouse—it was getting to her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1279 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 51 | | adverbRatio | 0.0398749022673964 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00547302580140735 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 172 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 172 | | mean | 8.51 | | std | 6.07 | | cv | 0.714 | | sampleLengths | | 0 | 16 | | 1 | 5 | | 2 | 2 | | 3 | 3 | | 4 | 10 | | 5 | 19 | | 6 | 24 | | 7 | 9 | | 8 | 10 | | 9 | 10 | | 10 | 12 | | 11 | 28 | | 12 | 9 | | 13 | 9 | | 14 | 12 | | 15 | 8 | | 16 | 15 | | 17 | 9 | | 18 | 20 | | 19 | 12 | | 20 | 3 | | 21 | 1 | | 22 | 13 | | 23 | 7 | | 24 | 6 | | 25 | 3 | | 26 | 3 | | 27 | 22 | | 28 | 10 | | 29 | 22 | | 30 | 21 | | 31 | 5 | | 32 | 16 | | 33 | 6 | | 34 | 5 | | 35 | 13 | | 36 | 9 | | 37 | 3 | | 38 | 3 | | 39 | 5 | | 40 | 13 | | 41 | 26 | | 42 | 6 | | 43 | 10 | | 44 | 1 | | 45 | 10 | | 46 | 4 | | 47 | 2 | | 48 | 6 | | 49 | 6 |
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| 61.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3953488372093023 | | totalSentences | 172 | | uniqueOpeners | 68 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 126 | | matches | | 0 | "Just the time—11:47 PM—staring back" | | 1 | "Just a shadow, there and" | | 2 | "Then, from somewhere inside the" | | 3 | "Just more darkness and dust" | | 4 | "Just darkness and shadows and" | | 5 | "Then a voice spoke from" | | 6 | "Too many hands." |
| | ratio | 0.056 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 126 | | matches | | 0 | "She'd been here for twenty" | | 1 | "She'd taken to wearing it" | | 2 | "Her heart hammered against her" | | 3 | "Her voice sounded small in" | | 4 | "She should leave." | | 5 | "She found herself crossing the" | | 6 | "She reached up to unclasp" | | 7 | "She whirled around, flashlight beam" | | 8 | "Her voice cracked" | | 9 | "Her own terrified reflection in" | | 10 | "She was jumping at shadows." | | 11 | "She needed to leave." | | 12 | "She turned to go, already" | | 13 | "Her fingers came away bloody" | | 14 | "Her mind raced, trying to" | | 15 | "She knew that voice." | | 16 | "He cocked his head, studying" | | 17 | "Her mind screamed at her" | | 18 | "She'd identified the body herself." | | 19 | "He took a step closer," |
| | ratio | 0.214 | |
| 90.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 126 | | matches | | 0 | "The warehouse sat in darkness," | | 1 | "Rory checked her phone again." | | 2 | "She'd been here for twenty" | | 3 | "The address Silas had given" | | 4 | "A gust of wind sent" | | 5 | "Rory pulled her jacket tighter," | | 6 | "The pendant pressed against her" | | 7 | "She'd taken to wearing it" | | 8 | "Movement in the warehouse's upper" | | 9 | "Her heart hammered against her" | | 10 | "The pendant pulsed against her" | | 11 | "Rory's fingers found the stone," | | 12 | "The warmth spread through her" | | 13 | "Her voice sounded small in" | | 14 | "Rory's breath caught in her" | | 15 | "She should leave." | | 16 | "This was stupid." | | 17 | "Whatever Silas had sent her" | | 18 | "She found herself crossing the" | | 19 | "The handle turned easily beneath" |
| | ratio | 0.738 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 126 | | matches | (empty) | | ratio | 0 | |
| 58.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 6 | | matches | | 0 | "The pendant pulsed against her skin, a slow, steady rhythm that matched her quickening heartbeat." | | 1 | "She found herself crossing the street before she'd consciously decided to move, her feet carrying her toward the warehouse's rusted metal door." | | 2 | "The handle turned easily beneath her palm, the door swinging inward with a prolonged creak that set her teeth on edge." | | 3 | "Evan stood there, whole and healthy and smiling that smile that used to make her weak in the knees." | | 4 | "In his place stood a figure cloaked in shadow, its form shifting and undulating like smoke." | | 5 | "She'd always known she was different, had always felt the stirrings of something inside her that didn't make sense." |
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| 7.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 4 | | matches | | 0 | "He reached out, fingers grazing her cheek" | | 1 | "the figure said, its voice a chorus of whispers" | | 2 | "she demanded, trying to keep the tremble from her voice" | | 3 | "she asked again, needing to understand, to make sense of the madness" |
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| 2.94% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "Rory breathed (breathe)" | | 2 | "The way Evan's mother had (have)" | | 3 | "she demanded (demand)" | | 4 | "the figure whispered (whisper)" |
| | dialogueSentences | 34 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.5 | | effectiveRatio | 0.294 | |