| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "Hannah glanced around [around]" |
| | dialogueSentences | 48 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0.05 | | effectiveRatio | 0.042 | |
| 90.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2049 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "carefully" | | 1 | "really" | | 2 | "slowly" |
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| 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) | |
| 75.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2049 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "eyebrow" | | 1 | "lilt" | | 2 | "could feel" | | 3 | "familiar" | | 4 | "flicked" | | 5 | "silence" | | 6 | "unreadable" | | 7 | "flickered" | | 8 | "weight" | | 9 | "unspoken" |
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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 | 128 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 128 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2049 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 71 | | wordCount | 1595 | | uniqueNames | 16 | | maxNameDensity | 1.57 | | worstName | "Hannah" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Hannah" | | discoveredNames | | Chinatown | 1 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Price | 1 | | Hannah | 25 | | Constitutional | 1 | | Law | 1 | | Rory | 22 | | Cardiff | 4 | | Evan | 1 | | London | 2 | | Silas | 7 | | Cool-headed | 1 | | Lane | 1 | | Australia | 1 |
| | persons | | 0 | "Raven" | | 1 | "Price" | | 2 | "Hannah" | | 3 | "Rory" | | 4 | "Evan" | | 5 | "Silas" |
| | places | | 0 | "Chinatown" | | 1 | "Soho" | | 2 | "Cardiff" | | 3 | "London" | | 4 | "Lane" | | 5 | "Australia" |
| | globalScore | 0.716 | | windowScore | 0.5 | |
| 96.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 2 | | matches | | 0 | "appeared, silent and Hannah ordered a gin and tonic in the same even voice" | | 1 | "felt like a door they could walk throug" |
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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 | 2049 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 154 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 40.98 | | std | 30.58 | | cv | 0.746 | | sampleLengths | | 0 | 130 | | 1 | 64 | | 2 | 73 | | 3 | 11 | | 4 | 68 | | 5 | 2 | | 6 | 73 | | 7 | 8 | | 8 | 7 | | 9 | 34 | | 10 | 64 | | 11 | 28 | | 12 | 32 | | 13 | 31 | | 14 | 59 | | 15 | 31 | | 16 | 11 | | 17 | 3 | | 18 | 18 | | 19 | 14 | | 20 | 57 | | 21 | 23 | | 22 | 26 | | 23 | 23 | | 24 | 35 | | 25 | 2 | | 26 | 13 | | 27 | 68 | | 28 | 99 | | 29 | 11 | | 30 | 77 | | 31 | 94 | | 32 | 20 | | 33 | 30 | | 34 | 60 | | 35 | 20 | | 36 | 22 | | 37 | 54 | | 38 | 23 | | 39 | 39 | | 40 | 23 | | 41 | 72 | | 42 | 72 | | 43 | 8 | | 44 | 105 | | 45 | 39 | | 46 | 2 | | 47 | 46 | | 48 | 38 | | 49 | 87 |
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| 91.56% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 128 | | matches | | 0 | "being asked" | | 1 | "was gone" | | 2 | "been rehearsed" | | 3 | "been redrawn" | | 4 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 267 | | matches | | |
| 87.20% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 3 | | flaggedSentences | 3 | | totalSentences | 154 | | ratio | 0.019 | | matches | | 0 | "Maps yellowed with age covered one wall; black-and-white photographs of vanished streets and unsmiling men occupied another." | | 1 | "Those things still worked; they just worked in smaller rooms now." | | 2 | "Time had not erased it; it had simply taught it to hide." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1604 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.029925187032418952 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.006234413965087282 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 13.31 | | std | 9.63 | | cv | 0.724 | | sampleLengths | | 0 | 31 | | 1 | 23 | | 2 | 18 | | 3 | 21 | | 4 | 17 | | 5 | 20 | | 6 | 10 | | 7 | 14 | | 8 | 36 | | 9 | 4 | | 10 | 23 | | 11 | 8 | | 12 | 18 | | 13 | 13 | | 14 | 11 | | 15 | 11 | | 16 | 22 | | 17 | 15 | | 18 | 17 | | 19 | 14 | | 20 | 2 | | 21 | 32 | | 22 | 4 | | 23 | 19 | | 24 | 18 | | 25 | 3 | | 26 | 1 | | 27 | 4 | | 28 | 6 | | 29 | 1 | | 30 | 2 | | 31 | 6 | | 32 | 26 | | 33 | 4 | | 34 | 3 | | 35 | 43 | | 36 | 14 | | 37 | 18 | | 38 | 5 | | 39 | 5 | | 40 | 8 | | 41 | 23 | | 42 | 1 | | 43 | 28 | | 44 | 3 | | 45 | 6 | | 46 | 13 | | 47 | 15 | | 48 | 25 | | 49 | 9 |
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| 47.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3116883116883117 | | totalSentences | 154 | | uniqueOpeners | 48 | |
| 57.97% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 115 | | matches | | 0 | "Somewhere a glass clinked." | | 1 | "Then she was gone, the" |
| | ratio | 0.017 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 115 | | matches | | 0 | "He moved with that slight" | | 1 | "She pushed damp black hair" | | 2 | "She wrapped her hands around" | | 3 | "She had taken the first" | | 4 | "She smelled of something clean" | | 5 | "It was smoother now, practised." | | 6 | "She heard the dryness in" | | 7 | "She could feel the scar" | | 8 | "She said it plainly, without" | | 9 | "She stopped, as if the" | | 10 | "She gave a small smile" | | 11 | "She remembered Hannah standing on" | | 12 | "She remembered the night Hannah" | | 13 | "She turned the glass again" | | 14 | "It had been there longer" | | 15 | "They sat with that." | | 16 | "It was still there, buried" | | 17 | "She laid it on the" | | 18 | "She could see the life" | | 19 | "She did not push." |
| | ratio | 0.226 | |
| 29.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 99 | | totalSentences | 115 | | matches | | 0 | "The rain had followed her" | | 1 | "Rory pushed through the door" | | 2 | "The green sign above the" | | 3 | "Maps yellowed with age covered" | | 4 | "A handful of regulars occupied" | | 5 | "Silas looked up from the" | | 6 | "The grey in his auburn" | | 7 | "He moved with that slight" | | 8 | "Rory slid onto her usual" | | 9 | "She pushed damp black hair" | | 10 | "The small crescent scar on" | | 11 | "Silas poured two fingers of" | | 12 | "She wrapped her hands around" | | 13 | "She had taken the first" | | 14 | "A woman stepped in, shaking" | | 15 | "Rory’s bright blue eyes met" | | 16 | "The Hannah who had once" | | 17 | "That girl was gone." | | 18 | "The wildness had been cut" | | 19 | "Hannah’s mouth opened." |
| | ratio | 0.861 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 115 | | matches | (empty) | | ratio | 0 | |
| 4.61% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 12 | | matches | | 0 | "The rain had followed her from Chinatown, a fine Soho drizzle that found every gap in her jacket and turned the last stretch of pavement into a slick of reflect…" | | 1 | "A handful of regulars occupied the corners, speaking in the low voices of people who had nowhere better to be." | | 2 | "In her place stood someone contained, expensive, older in a way that had nothing to do with the calendar." | | 3 | "The wildness had been cut away and replaced with something that belonged in glass offices and late-night emails." | | 4 | "Up close the change was sharper: a thin gold chain at her throat, a watch that probably cost more than Rory’s monthly rent, the faint lines at the corners of he…" | | 5 | "Hannah’s father had been an accountant who fell asleep in front of the news." | | 6 | "The professional mask had slipped enough to show the girl who used to steal chips off Rory’s plate and laugh with her whole body." | | 7 | "Harcourt Lane, her name in clean type, an email that ended in the firm’s domain." | | 8 | "She could see the life it pointed toward: the early mornings, the language of chambers, the version of herself that had never left Cardiff except on the train t…" | | 9 | "They finished their drinks in a quieter register, trading smaller pieces: a lecturer who had retired, a mutual friend who had moved to Australia and posted suns…" | | 10 | "The conversation had the shape of something that might continue and the weight of something that would not." | | 11 | "The whiskey burned going down, honest and uncomplicated, and for a moment that was enough." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 2 | | matches | | 0 | "Rory slid, the worn leather cool against her thighs" | | 1 | "She stopped, as if the next word had been rehearsed and then discarded" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 48 | | tagDensity | 0.104 | | leniency | 0.208 | | rawRatio | 0 | | effectiveRatio | 0 | |