| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1894 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 73.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1894 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "silence" | | 1 | "warmth" | | 2 | "eyebrow" | | 3 | "glint" | | 4 | "velvet" | | 5 | "could feel" | | 6 | "weight" | | 7 | "marble" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 220 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 220 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 220 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 91.27% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 104 | | totalWords | 1913 | | ratio | 0.054 | | matches | | 0 | "Don't worry. I'll always patch you up." | | 1 | "I met Evan. He was charming. He was brilliant. He was a barrister a year ahead of me, and everyone wanted him, and he chose me. For a year I thought I was lucky. Then I started making excuses for the way he squeezed my arm. Then I stopped calling my friends. Then he came home one night and put his hand around my throat, and I realised I had been rehearsing that moment for months — I had already learned to keep my voice soft and my answers short so I would not set it off." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 114 | | wordCount | 1905 | | uniqueNames | 28 | | maxNameDensity | 1.73 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Tuesday | 1 | | Golden | 1 | | Empress | 1 | | Soho | 3 | | Rory | 33 | | Pinot | 1 | | Grigio | 1 | | Carter | 1 | | Davies | 2 | | Lowri | 27 | | London | 3 | | Tom | 2 | | Cardiff | 2 | | April | 1 | | Silas | 7 | | Christmas | 1 | | Chinatown | 1 | | Evan | 5 | | Pontcanna | 1 | | Tesco | 1 | | Student | 1 | | Union | 1 | | You | 12 | | June | 1 | | Crowne | 1 | | Plaza | 1 | | Embankment | 1 | | Friday | 1 |
| | persons | | 0 | "Rory" | | 1 | "Carter" | | 2 | "Davies" | | 3 | "Lowri" | | 4 | "Tom" | | 5 | "Silas" | | 6 | "Evan" | | 7 | "You" |
| | places | | 0 | "Golden" | | 1 | "Soho" | | 2 | "London" | | 3 | "Cardiff" | | 4 | "April" | | 5 | "Christmas" | | 6 | "Chinatown" | | 7 | "Pontcanna" | | 8 | "Tesco" | | 9 | "Student" | | 10 | "Crowne" |
| | globalScore | 0.634 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 114 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1913 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 220 | | matches | | 0 | "knew that hand" | | 1 | "rehearsing that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 30.37 | | std | 28.35 | | cv | 0.934 | | sampleLengths | | 0 | 120 | | 1 | 71 | | 2 | 69 | | 3 | 33 | | 4 | 1 | | 5 | 44 | | 6 | 4 | | 7 | 2 | | 8 | 82 | | 9 | 20 | | 10 | 26 | | 11 | 7 | | 12 | 44 | | 13 | 12 | | 14 | 3 | | 15 | 50 | | 16 | 51 | | 17 | 9 | | 18 | 2 | | 19 | 46 | | 20 | 63 | | 21 | 6 | | 22 | 2 | | 23 | 11 | | 24 | 8 | | 25 | 33 | | 26 | 59 | | 27 | 106 | | 28 | 5 | | 29 | 24 | | 30 | 1 | | 31 | 13 | | 32 | 28 | | 33 | 2 | | 34 | 120 | | 35 | 36 | | 36 | 4 | | 37 | 51 | | 38 | 18 | | 39 | 5 | | 40 | 53 | | 41 | 42 | | 42 | 41 | | 43 | 13 | | 44 | 13 | | 45 | 4 | | 46 | 46 | | 47 | 3 | | 48 | 47 | | 49 | 8 |
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| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 220 | | matches | | 0 | "was pinned" | | 1 | "got married" | | 2 | "got married" | | 3 | "being forced" | | 4 | "were made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 353 | | matches | | 0 | "was watching" | | 1 | "was reading" | | 2 | "were going" | | 3 | "were moving" | | 4 | "was hurting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 21 | | semicolonCount | 1 | | flaggedSentences | 21 | | totalSentences | 220 | | ratio | 0.095 | | matches | | 0 | "Silas kept the lights low — just enough to read the faces at the counter, not enough to read the cracks in them." | | 1 | "She walked to the counter, and Rory looked up because she looked at everyone — habit, the kind you learn when you are running from someone." | | 2 | "Up close, the coat was expensive — tailored." | | 3 | "Her eyes were hazel — they had always been hazel — but tonight they read Rory like a document." | | 4 | "Lowri touched her collar — a small nervous gesture Rory had never seen her make." | | 5 | "I mean — I heard you were in London." | | 6 | "Someone said they spotted you in Soho, but— She laughed, a thin sound." | | 7 | "A boy — Tom." | | 8 | "But the Lowri beside her had seams in her voice — neat seams, like she had repaired herself too many times." | | 9 | "The city, the career, the house with the — what was it?" | | 10 | "You — deliver food?" | | 11 | "You were going to— She stopped." | | 12 | "Then he came home one night and put his hand around my throat, and I realised I had been rehearsing that moment for months — I had already learned to keep my voice soft and my answers short so I would not set it off.*" | | 13 | "Evan — I saw him a week later in the Student Union." | | 14 | "The condensation had pooled at the base — a small lake." | | 15 | "She had said them once to a doctor at a free clinic; she had said them to herself a hundred times in the dark." | | 16 | "Or — when?" | | 17 | "What came out instead was a laugh — ragged, half-strangled, the sound of something rusty coming loose." | | 18 | "He set a key on the counter within Rory's reach — the spare key to the flat upstairs." | | 19 | "Rory could feel the weight of time pressing against the backs of her eyes — the years she had spent alone over a bar in London, the distance she had built brick by brick, the friends she had laid down like foundations and walked away from." | | 20 | "She stood, drew the belt of her coat closed, and for a moment, under the green neon glow from the window, she was the girl with the shaved head again — unbroken." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1135 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.02290748898678414 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.001762114537444934 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 220 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 220 | | mean | 8.7 | | std | 7.59 | | cv | 0.873 | | sampleLengths | | 0 | 7 | | 1 | 23 | | 2 | 31 | | 3 | 11 | | 4 | 13 | | 5 | 5 | | 6 | 30 | | 7 | 3 | | 8 | 25 | | 9 | 9 | | 10 | 8 | | 11 | 26 | | 12 | 9 | | 13 | 8 | | 14 | 14 | | 15 | 8 | | 16 | 30 | | 17 | 9 | | 18 | 8 | | 19 | 16 | | 20 | 1 | | 21 | 3 | | 22 | 19 | | 23 | 8 | | 24 | 14 | | 25 | 1 | | 26 | 1 | | 27 | 2 | | 28 | 2 | | 29 | 15 | | 30 | 16 | | 31 | 20 | | 32 | 10 | | 33 | 4 | | 34 | 17 | | 35 | 5 | | 36 | 15 | | 37 | 1 | | 38 | 9 | | 39 | 13 | | 40 | 3 | | 41 | 4 | | 42 | 3 | | 43 | 3 | | 44 | 24 | | 45 | 4 | | 46 | 9 | | 47 | 4 | | 48 | 3 | | 49 | 3 |
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| 35.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 31 | | diversityRatio | 0.21818181818181817 | | totalSentences | 220 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 194 | | matches | | 0 | "Then her mouth opened, and" | | 1 | "Then I started making excuses" | | 2 | "Then I stopped calling my" | | 3 | "Then he came home one" | | 4 | "Just an acknowledgment that the" | | 5 | "Just so you don't have" | | 6 | "Then she closed the case" | | 7 | "Even like this." |
| | ratio | 0.041 | |
| 50.93% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 82 | | totalSentences | 194 | | matches | | 0 | "She had finished her shift" | | 1 | "She should have gone upstairs." | | 2 | "She paused at the threshold," | | 3 | "She walked to the counter," | | 4 | "Her hair, dyed the colour" | | 5 | "She ordered a glass of" | | 6 | "She knew that hand gesturing" | | 7 | "She knew the small lopsided" | | 8 | "Her eyes were hazel —" | | 9 | "She used to steal her" | | 10 | "She had a tattoo of" | | 11 | "She cried at everything." | | 12 | "She had once punched a" | | 13 | "She kept her back straight" | | 14 | "I mean — I heard" | | 15 | "You look different." | | 16 | "He did not intrude." | | 17 | "I got married." | | 18 | "He's a good father." | | 19 | "I moved back to Cardiff" |
| | ratio | 0.423 | |
| 50.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 159 | | totalSentences | 194 | | matches | | 0 | "The bar was quiet for" | | 1 | "Silas kept the lights low" | | 2 | "Rory sat at the far" | | 3 | "She had finished her shift" | | 4 | "The smell of fried rice" | | 5 | "She should have gone upstairs." | | 6 | "The flat was cold, and" | | 7 | "The door opened." | | 8 | "A gust of damp Soho" | | 9 | "She paused at the threshold," | | 10 | "Silas nodded at her from" | | 11 | "She walked to the counter," | | 12 | "The woman slipped onto a" | | 13 | "Her hair, dyed the colour" | | 14 | "A thin gold chain caught" | | 15 | "She ordered a glass of" | | 16 | "The recognition hit her like" | | 17 | "She knew that hand gesturing" | | 18 | "She knew the small lopsided" | | 19 | "The woman turned." |
| | ratio | 0.82 | |
| 51.55% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 194 | | matches | | 0 | "Or — when?" | | 1 | "If you want to get" |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 68 | | technicalSentenceCount | 4 | | matches | | 0 | "She ordered a glass of Pinot Grigio without checking the price, and there was something in the way she held her handbag against her hip that made Rory look agai…" | | 1 | "Silas wiped a glass with a slow, deliberate cloth, watching them with the patience of a man who had spent his life reading rooms." | | 2 | "The touch was light, as if Rory were made of something fragile and precious, as if she might shatter into splinters and blow away." | | 3 | "I told myself you'd become someone who didn't need me." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |