| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1292 | | totalAiIsmAdverbs | 2 | | 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) | |
| 34.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1292 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "chill" | | 1 | "scanned" | | 2 | "familiar" | | 3 | "could feel" | | 4 | "pulse" | | 5 | "silence" | | 6 | "weight" | | 7 | "throbbed" | | 8 | "warmth" | | 9 | "etched" | | 10 | "pulsed" | | 11 | "rhythmic" | | 12 | "anticipation" | | 13 | "beacon" |
| |
| 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 | 129 | | matches | (empty) | |
| 98.56% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 129 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1292 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 1292 | | uniqueNames | 11 | | maxNameDensity | 0.46 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | London | 2 | | November | 1 | | Richmond | 1 | | Park | 1 | | Cardiff | 2 | | Heartstone | 1 | | Silas | 2 | | Hel | 1 | | Grove | 1 | | Eva | 2 | | Rory | 6 |
| | persons | | | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Cardiff" | | 4 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 89.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a mistake in the world" | | 1 | "felt like skin, soft and slightly damp" |
| |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 3.096 | | wordCount | 1292 | | matches | | 0 | "Not a hole, but a tearing in the fabric of the dark" | | 1 | "not the warmth of the pendant, but the heat of a furnace, of something" | | 2 | "not bone, but stone" | | 3 | "not with speed, but with inevitability" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 46.14 | | std | 25.13 | | cv | 0.545 | | sampleLengths | | 0 | 103 | | 1 | 43 | | 2 | 116 | | 3 | 43 | | 4 | 77 | | 5 | 38 | | 6 | 79 | | 7 | 51 | | 8 | 44 | | 9 | 27 | | 10 | 1 | | 11 | 64 | | 12 | 47 | | 13 | 39 | | 14 | 63 | | 15 | 15 | | 16 | 34 | | 17 | 32 | | 18 | 40 | | 19 | 27 | | 20 | 6 | | 21 | 48 | | 22 | 67 | | 23 | 45 | | 24 | 39 | | 25 | 25 | | 26 | 37 | | 27 | 42 |
| |
| 99.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 129 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 9 | | totalVerbs | 229 | | matches | | 0 | "wasn't glowing" | | 1 | "was blowing" | | 2 | "was standing" | | 3 | "was stretching" | | 4 | "wasn't looking" | | 5 | "were falling" | | 6 | "was opening" | | 7 | "was coming" | | 8 | "was acknowledging" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 129 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1294 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.02009273570324575 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006955177743431221 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 10.02 | | std | 7.19 | | cv | 0.718 | | sampleLengths | | 0 | 24 | | 1 | 18 | | 2 | 26 | | 3 | 19 | | 4 | 3 | | 5 | 13 | | 6 | 4 | | 7 | 8 | | 8 | 3 | | 9 | 28 | | 10 | 4 | | 11 | 26 | | 12 | 11 | | 13 | 19 | | 14 | 21 | | 15 | 21 | | 16 | 6 | | 17 | 8 | | 18 | 9 | | 19 | 23 | | 20 | 4 | | 21 | 7 | | 22 | 5 | | 23 | 22 | | 24 | 2 | | 25 | 17 | | 26 | 18 | | 27 | 13 | | 28 | 7 | | 29 | 14 | | 30 | 2 | | 31 | 15 | | 32 | 8 | | 33 | 14 | | 34 | 15 | | 35 | 10 | | 36 | 22 | | 37 | 3 | | 38 | 7 | | 39 | 29 | | 40 | 10 | | 41 | 12 | | 42 | 6 | | 43 | 5 | | 44 | 3 | | 45 | 18 | | 46 | 3 | | 47 | 4 | | 48 | 5 | | 49 | 6 |
| |
| 26.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 30 | | diversityRatio | 0.1937984496124031 | | totalSentences | 129 | | uniqueOpeners | 25 | |
| 27.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 123 | | matches | | 0 | "Just a dead screen that" |
| | ratio | 0.008 | |
| 24.88% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 60 | | totalSentences | 123 | | matches | | 0 | "She kept her shoulders hunched" | | 1 | "Her bright blue eyes scanned" | | 2 | "It was gone." | | 3 | "She checked her watch." | | 4 | "She pulled her hand from" | | 5 | "It hung from a silver" | | 6 | "It wasn't glowing like a" | | 7 | "It looked like a mistake" | | 8 | "They shouldn't exist here." | | 9 | "She took a step forward." | | 10 | "She knew, with the cold" | | 11 | "She adjusted her grip on" | | 12 | "It pulsed, a slow, rhythmic" | | 13 | "It was too tall to" | | 14 | "It moved without sound, sliding" | | 15 | "Her training in the restaurant" | | 16 | "She remembered Eva's voice in" | | 17 | "She had trusted the map," | | 18 | "She looked up at the" | | 19 | "They didn't twinkle." |
| | ratio | 0.488 | |
| 4.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 112 | | totalSentences | 123 | | matches | | 0 | "The air inside the circle" | | 1 | "Aurora stopped where the grass" | | 2 | "She kept her shoulders hunched" | | 3 | "Her bright blue eyes scanned" | | 4 | "It was gone." | | 5 | "She checked her watch." | | 6 | "The second hand had stopped" | | 7 | "That was impossible." | | 8 | "The quartz movement was dead," | | 9 | "Rory shifted her weight." | | 10 | "The small crescent-shaped scar on" | | 11 | "She pulled her hand from" | | 12 | "It hung from a silver" | | 13 | "It wasn't glowing like a" | | 14 | "The description in the files" | | 15 | "This didn't look like a" | | 16 | "It looked like a mistake" | | 17 | "Patches of violet and white" | | 18 | "They shouldn't exist here." | | 19 | "The biology of the Grove" |
| | ratio | 0.911 | |
| 81.30% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 123 | | matches | | 0 | "To her left, behind a" | | 1 | "Now she wondered if the" |
| | ratio | 0.016 | |
| 64.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 6 | | matches | | 0 | "Her bright blue eyes scanned the perimeter, searching for the familiar streetlamp that marked the edge of Richmond Park." | | 1 | "The small crescent-shaped scar on her left wrist, a souvenir from a childhood accident in Cardiff, throbbed in time with the heartbeat that wasn't her own." | | 2 | "Patches of violet and white sprouted from the frost-covered ground, untouched by the cold that bit into the exposed skin of her face." | | 3 | "She remembered Eva's voice in her ear, urging her to run to London, telling her that the things she had seen in Cardiff had followed her across the channel." | | 4 | "It was a vibration in the air, a pressure that made her teeth ache." | | 5 | "She closed her eyes and waited for the end, but the only sound she heard was the wind returning, carrying the scent of the city outside, and the sound of a car …" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |