| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice sounded too [too]" |
| | dialogueSentences | 47 | | tagDensity | 0.404 | | leniency | 0.809 | | rawRatio | 0.053 | | effectiveRatio | 0.043 | |
| 71.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1232 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "very" |
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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) | |
| 35.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1232 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "loomed" | | 1 | "warmth" | | 2 | "familiar" | | 3 | "echo" | | 4 | "whisper" | | 5 | "flickered" | | 6 | "dancing" | | 7 | "pulsed" | | 8 | "pulse" | | 9 | "perfect" | | 10 | "stomach" | | 11 | "footsteps" | | 12 | "echoed" | | 13 | "shattered" |
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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 | 0 | | narrationSentences | 93 | | matches | (empty) | |
| 19.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 8 | | narrationSentences | 93 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 10 | | totalWords | 1232 | | ratio | 0.008 | | matches | | 0 | "Richmond Park, near the old oak circle. Midnight. Come alone." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 937 | | uniqueNames | 5 | | maxNameDensity | 0.53 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 5 | | October | 1 | | Eva | 2 | | Park | 1 | | Cardiff | 1 |
| | persons | | | places | | 0 | "October" | | 1 | "Park" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 5 | | matches | | 0 | "felt like hours, following the vague di" | | 1 | "seemed slightly wrong shoulders hunched in a way that reminded her of a coat hanging too long" | | 2 | "shadows that seemed to move independently of the flame" | | 3 | "sounded like dry leaves skittering across" | | 4 | "hum that seemed to emanate from the stones themselves" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.812 | | wordCount | 1232 | | matches | | 0 | "Not an earthquake, but something subtler, like the earth itself was breathing" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 118 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 25.67 | | std | 16.98 | | cv | 0.661 | | sampleLengths | | 0 | 45 | | 1 | 4 | | 2 | 63 | | 3 | 29 | | 4 | 65 | | 5 | 41 | | 6 | 13 | | 7 | 8 | | 8 | 43 | | 9 | 20 | | 10 | 13 | | 11 | 32 | | 12 | 10 | | 13 | 36 | | 14 | 9 | | 15 | 17 | | 16 | 27 | | 17 | 18 | | 18 | 43 | | 19 | 11 | | 20 | 26 | | 21 | 37 | | 22 | 14 | | 23 | 28 | | 24 | 2 | | 25 | 28 | | 26 | 11 | | 27 | 41 | | 28 | 9 | | 29 | 36 | | 30 | 3 | | 31 | 56 | | 32 | 11 | | 33 | 21 | | 34 | 33 | | 35 | 14 | | 36 | 30 | | 37 | 1 | | 38 | 18 | | 39 | 56 | | 40 | 47 | | 41 | 51 | | 42 | 27 | | 43 | 24 | | 44 | 3 | | 45 | 40 | | 46 | 8 | | 47 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 160 | | matches | | 0 | "wasn't looking" | | 1 | "were speaking" | | 2 | "were amplifying" | | 3 | "was breathing" | | 4 | "was happening" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 118 | | ratio | 0 | | matches | (empty) | |
| 93.07% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 939 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.04792332268370607 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009584664536741214 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 10.44 | | std | 6.59 | | cv | 0.631 | | sampleLengths | | 0 | 18 | | 1 | 18 | | 2 | 5 | | 3 | 4 | | 4 | 4 | | 5 | 20 | | 6 | 25 | | 7 | 18 | | 8 | 10 | | 9 | 2 | | 10 | 12 | | 11 | 2 | | 12 | 3 | | 13 | 23 | | 14 | 1 | | 15 | 19 | | 16 | 22 | | 17 | 7 | | 18 | 2 | | 19 | 2 | | 20 | 17 | | 21 | 6 | | 22 | 7 | | 23 | 10 | | 24 | 3 | | 25 | 3 | | 26 | 4 | | 27 | 1 | | 28 | 8 | | 29 | 19 | | 30 | 3 | | 31 | 13 | | 32 | 17 | | 33 | 3 | | 34 | 5 | | 35 | 8 | | 36 | 8 | | 37 | 13 | | 38 | 11 | | 39 | 6 | | 40 | 4 | | 41 | 11 | | 42 | 15 | | 43 | 10 | | 44 | 5 | | 45 | 4 | | 46 | 11 | | 47 | 6 | | 48 | 8 | | 49 | 17 |
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| 69.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4661016949152542 | | totalSentences | 118 | | uniqueOpeners | 55 | |
| 79.37% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 84 | | matches | | 0 | "Instead, her skin crawled." | | 1 | "Just the rustle of leaves" |
| | ratio | 0.024 | |
| 53.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 84 | | matches | | 0 | "She should have felt relief." | | 1 | "She'd found the grove." | | 2 | "Her breath fogged in front" | | 3 | "She checked the pendant beneath" | | 4 | "Her voice sounded too loud," | | 5 | "She'd been walking for what" | | 6 | "She'd expected that, but the" | | 7 | "She almost smiled." | | 8 | "His posture seemed slightly wrong," | | 9 | "it was him, but the" | | 10 | "His voice had a strange" | | 11 | "He gestured toward the clearing" | | 12 | "He took another step closer" | | 13 | "His gaze dropped to the" | | 14 | "She instinctively touched the chain." | | 15 | "He leaned in slightly" | | 16 | "She'd seen enough horror films" | | 17 | "His voice dropped to a" | | 18 | "She blinked, and for a" | | 19 | "she said, forcing calm into" |
| | ratio | 0.417 | |
| 37.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 84 | | matches | | 0 | "The torch cut a shaky" | | 1 | "The standing stones loomed ahead," | | 2 | "She should have felt relief." | | 3 | "She'd found the grove." | | 4 | "The air hung thick and" | | 5 | "Her breath fogged in front" | | 6 | "She checked the pendant beneath" | | 7 | "Her voice sounded too loud," | | 8 | "She'd been walking for what" | | 9 | "The path she'd been following" | | 10 | "Aurora stopped and pulled out" | | 11 | "She'd expected that, but the" | | 12 | "The battery icon showed 87%," 1/1/1987, 12:00:00 AM | | 13 | "A voice, rough and familiar," | | 14 | "She almost smiled." | | 15 | "Relief flooded through her." | | 16 | "The figure stepped forward, but" | | 17 | "His posture seemed slightly wrong," | | 18 | "it was him, but the" | | 19 | "His voice had a strange" |
| | ratio | 0.845 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 20.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 6 | | matches | | 0 | "The air hung thick and sweet, heavy with the scent of night-blooming flowers that had no business thriving in October." | | 1 | "The path she'd been following had vanished somewhere behind her, swallowed by shadows that moved when she wasn't looking directly at them." | | 2 | "His posture seemed slightly wrong, shoulders hunched in a way that reminded her of a coat hanging too long." | | 3 | "She blinked, and for a moment, she could swear she saw the trees themselves leaning in, their branches weaving tighter together overhead." | | 4 | "Something that shifted beneath the grass, something that pulsed with the same crimson light as the gem at her throat." | | 5 | "She tried to scream, but the sound caught in her throat, replaced by a low, musical hum that seemed to emanate from the stones themselves." |
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| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 2 | | matches | | 0 | "His voice had, as if he were speaking from inside a tunnel" | | 1 | "she whispered, but the name felt wrong on her tongue" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "He laughed (laugh)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 47 | | tagDensity | 0.064 | | leniency | 0.128 | | rawRatio | 0.667 | | effectiveRatio | 0.085 | |