| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said aloud [aloud]" |
| | dialogueSentences | 7 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |
| 85.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1000 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "slowly" | | 1 | "deliberately" | | 2 | "suddenly" |
| |
| 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) | |
| 45.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1000 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "pulsed" | | 1 | "throb" | | 2 | "tracing" | | 3 | "velvet" | | 4 | "whisper" | | 5 | "echoed" | | 6 | "flicker" | | 7 | "throbbed" | | 8 | "stomach" | | 9 | "pounding" |
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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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1000 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.93% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 979 | | uniqueNames | 11 | | maxNameDensity | 1.02 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Golden | 2 | | Empress | 2 | | Southwark | 1 | | Heartstone | 3 | | Silas | 2 | | Hel | 2 | | London | 3 | | Rory | 10 | | Shoreditch | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Silas" | | 2 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Southwark" | | 3 | "Hel" | | 4 | "London" | | 5 | "Shoreditch" |
| | globalScore | 0.989 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 3 | | matches | | 0 | "as if breathing their petals unfolding with a wet, papery tick-tock" | | 1 | "something like iron and ashes" | | 2 | "felt like a different lifetime" |
| |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 6 | | per1kWords | 6 | | wordCount | 1000 | | matches | | 0 | "not a bird, not the wind through oak leaves, but a door closing in a house she had never lived in" | | 1 | "not the wind through oak leaves, but a door closing in a house she had never lived in" | | 2 | "not cold, not warm, but wrong" | | 3 | "not warm, but wrong" | | 4 | "not toward the boundary, but deeper, because the boundary was behind her now" | | 5 | "Not smoothly, but with a scream of tearing stone" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 27.78 | | std | 28.73 | | cv | 1.034 | | sampleLengths | | 0 | 18 | | 1 | 97 | | 2 | 4 | | 3 | 8 | | 4 | 48 | | 5 | 3 | | 6 | 4 | | 7 | 117 | | 8 | 36 | | 9 | 2 | | 10 | 27 | | 11 | 20 | | 12 | 45 | | 13 | 10 | | 14 | 3 | | 15 | 55 | | 16 | 6 | | 17 | 30 | | 18 | 4 | | 19 | 13 | | 20 | 59 | | 21 | 9 | | 22 | 26 | | 23 | 56 | | 24 | 3 | | 25 | 82 | | 26 | 5 | | 27 | 3 | | 28 | 75 | | 29 | 24 | | 30 | 29 | | 31 | 23 | | 32 | 4 | | 33 | 3 | | 34 | 27 | | 35 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 166 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 73 | | ratio | 0 | | matches | (empty) | |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 985 | | adjectiveStacks | 3 | | stackExamples | | 0 | "rough, thumbnail-sized surface" | | 1 | "small crescent-shaped scar" | | 2 | "black against black bark." |
| | adverbCount | 25 | | adverbRatio | 0.025380710659898477 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01015228426395939 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 13.7 | | std | 10.93 | | cv | 0.798 | | sampleLengths | | 0 | 18 | | 1 | 25 | | 2 | 35 | | 3 | 10 | | 4 | 27 | | 5 | 4 | | 6 | 6 | | 7 | 2 | | 8 | 19 | | 9 | 10 | | 10 | 19 | | 11 | 3 | | 12 | 4 | | 13 | 17 | | 14 | 15 | | 15 | 22 | | 16 | 5 | | 17 | 13 | | 18 | 17 | | 19 | 19 | | 20 | 4 | | 21 | 2 | | 22 | 1 | | 23 | 2 | | 24 | 27 | | 25 | 9 | | 26 | 2 | | 27 | 14 | | 28 | 8 | | 29 | 5 | | 30 | 4 | | 31 | 16 | | 32 | 5 | | 33 | 27 | | 34 | 4 | | 35 | 9 | | 36 | 10 | | 37 | 3 | | 38 | 24 | | 39 | 31 | | 40 | 6 | | 41 | 3 | | 42 | 3 | | 43 | 24 | | 44 | 4 | | 45 | 13 | | 46 | 23 | | 47 | 29 | | 48 | 4 | | 49 | 3 |
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| 37.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3150684931506849 | | totalSentences | 73 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 64 | | matches | | 0 | "She had crossed the standing" | | 1 | "Her heart hammered against her" | | 2 | "She had come here because" | | 3 | "Her fingers found the silver" | | 4 | "She stepped forward." | | 5 | "Their scent was not sweet." | | 6 | "It was copper and rain" | | 7 | "Her small crescent-shaped scar on" | | 8 | "She counted her breaths." | | 9 | "It was not a shadow" | | 10 | "She pulled out her phone." | | 11 | "she said aloud, and her" | | 12 | "She turned toward the centre" | | 13 | "Her name felt wrong in" | | 14 | "She stepped back, her trainers" | | 15 | "she asked, her voice steady," | | 16 | "She would not panic." | | 17 | "She would think." | | 18 | "It wanted her to open" | | 19 | "It wanted her to step" |
| | ratio | 0.375 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 64 | | matches | | 0 | "Rory pressed her palm flat" | | 1 | "She had crossed the standing" | | 2 | "Her heart hammered against her" | | 3 | "She had come here because" | | 4 | "The Heartstone had pulsed against" | | 5 | "Her fingers found the silver" | | 6 | "A faint inner glow warmed" | | 7 | "She stepped forward." | | 8 | "The grove swallowed her." | | 9 | "Wildflowers bloomed everywhere, impossible crimson" | | 10 | "Their scent was not sweet." | | 11 | "It was copper and rain" | | 12 | "Rory moved slowly, deliberately, the" | | 13 | "Her small crescent-shaped scar on" | | 14 | "She counted her breaths." | | 15 | "A sound came from the" | | 16 | "A heavy, wooden click that" | | 17 | "Something moved behind the eastern" | | 18 | "It was not a shadow" | | 19 | "The moon was not here." |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 13 | | matches | | 0 | "She had crossed the standing stones without meaning to, her trainers scraping against moss that had no right growing in this corner of Richmond Park." | | 1 | "Her heart hammered against her ribs, a dull, insistent rhythm that matched the delivery runs she had made only hours ago, the Golden Empress boxes of dumplings …" | | 2 | "The Heartstone had pulsed against her collarbone since midnight, a faint crimson throb that grew sharper with every turn away from Silas's flat, sharper until i…" | | 3 | "Wildflowers bloomed everywhere, impossible crimson and gold clusters that had no season, no proper soil, only a sick, relentless need to open." | | 4 | "The wildflowers bent toward her, as if breathing, their petals unfolding with a wet, papery tick-tock." | | 5 | "She turned toward the centre of the grove, where the ancient oak standing stones formed a rough circle, and where the air itself felt thick, as if pressed betwe…" | | 6 | "A shape that wore the memory of both, made of shifting bark and wildflower petals, with eyes like wet copper that held no reflection." | | 7 | "She stepped back, her trainers finding no solid ground, the moss giving way to soft black earth that smelled of rot and sweetness." | | 8 | "A hand reached for her shoulder, not cold, not warm, but wrong, and Rory sidestepped, her shoulder rolling through the motion of a delivery cyclist dodging a ta…" | | 9 | "The wildflowers grew louder, their blooming a constant, wet tick-tock of petals opening and closing in rhythms that made her teeth ache." | | 10 | "She heard laughter that was not human, sounds like breaking glass and wet wood, and she smelled the Golden Empress dumplings suddenly, a phantom scent that made…" | | 11 | "The Heartstone blazed in her grip, singing a high, vibrating note that rattled her teeth, and she knew she had come here for something she had not admitted to h…" | | 12 | "The figure lunged, and Rory dashed sideways, her trainers slipping on dark earth, her heart pounding with a frantic flip-flop that had nothing to do with runnin…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 7 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0.2 | | effectiveRatio | 0.2 | |