| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1726 | | 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) | |
| 68.13% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1726 | | totalAiIsms | 11 | | found | | 0 | | | 1 | | | 2 | | word | "practiced ease" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | |
| | highlights | | 0 | "silk" | | 1 | "navigated" | | 2 | "practiced ease" | | 3 | "measured" | | 4 | "warmth" | | 5 | "traced" | | 6 | "pristine" | | 7 | "shattered" | | 8 | "weight" | | 9 | "glint" |
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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 | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1719 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 1 | | matches | | 0 | "Four years ago, she spoke that dialect without an accent." |
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| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 63 | | wordCount | 1118 | | uniqueNames | 29 | | maxNameDensity | 1.16 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Toby" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 3 | | Yu-Fei | 1 | | Cheung | 1 | | West | 1 | | End | 1 | | Silas | 6 | | European | 2 | | October | 1 | | Inns | 1 | | Court | 1 | | Rory | 13 | | Cathays | 2 | | Park | 2 | | Sunday | 1 | | Brendan | 2 | | Carter | 1 | | Pontcanna | 1 | | Pritchard | 1 | | Pre-Law | 1 | | Islay | 1 | | Toby | 12 | | Prague | 1 | | Cardiff | 1 | | Irish | 1 | | Jennifer | 1 | | Welsh | 1 | | London | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Yu-Fei" | | 3 | "Cheung" | | 4 | "Silas" | | 5 | "Rory" | | 6 | "Brendan" | | 7 | "Carter" | | 8 | "Pritchard" | | 9 | "Toby" | | 10 | "Jennifer" |
| | places | | 0 | "Soho" | | 1 | "West" | | 2 | "End" | | 3 | "Cathays" | | 4 | "Park" | | 5 | "Pontcanna" | | 6 | "Prague" | | 7 | "Cardiff" | | 8 | "London" |
| | globalScore | 0.919 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1719 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 100 | | matches | | 0 | "owned that name" | | 1 | "spoke that dialect" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 25.28 | | std | 21.2 | | cv | 0.839 | | sampleLengths | | 0 | 83 | | 1 | 74 | | 2 | 10 | | 3 | 29 | | 4 | 19 | | 5 | 89 | | 6 | 39 | | 7 | 12 | | 8 | 14 | | 9 | 56 | | 10 | 35 | | 11 | 1 | | 12 | 30 | | 13 | 2 | | 14 | 51 | | 15 | 6 | | 16 | 84 | | 17 | 20 | | 18 | 11 | | 19 | 25 | | 20 | 26 | | 21 | 2 | | 22 | 2 | | 23 | 7 | | 24 | 27 | | 25 | 25 | | 26 | 21 | | 27 | 8 | | 28 | 7 | | 29 | 14 | | 30 | 40 | | 31 | 7 | | 32 | 10 | | 33 | 27 | | 34 | 21 | | 35 | 27 | | 36 | 18 | | 37 | 13 | | 38 | 4 | | 39 | 16 | | 40 | 13 | | 41 | 22 | | 42 | 39 | | 43 | 34 | | 44 | 10 | | 45 | 20 | | 46 | 2 | | 47 | 36 | | 48 | 23 | | 49 | 13 |
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| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 163 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 100 | | ratio | 0.05 | | matches | | 0 | "Six hours of hauling Yu-Fei Cheung's paper bags through West End gridlock clung to her nylon jacket—a persistent perfume of charred scallions, black bean sauce, and diesel exhaust." | | 1 | "Toby stared at the helmet resting on the stool—scratched polycarbonate, peeling reflective tape across the visor." | | 2 | "That old Cardiff taxonomy—measuring human worth by exam boards and pupillage offers." | | 3 | "Toby's gaze dropped to her left hand—past the small crescent-shaped scar from her childhood fall onto a garden frame, fixing on the rigid set of her tendon, the habit of keeping her forearm pressed against her ribs in crowded rooms." | | 4 | "Rory looked at him—at the crisp chalk-stripe cuff peeking from his coat sleeve, the unblemished hands that had never scrubbed soy sauce from nylon in a bathroom basin above a Soho bar, the straight trajectory of a life that had proceeded from pillar to post without catching fire in the middle." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1061 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 8 | | adverbRatio | 0.007540056550424128 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.000942507068803016 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 17.19 | | std | 10.11 | | cv | 0.588 | | sampleLengths | | 0 | 28 | | 1 | 9 | | 2 | 18 | | 3 | 28 | | 4 | 12 | | 5 | 23 | | 6 | 25 | | 7 | 14 | | 8 | 10 | | 9 | 29 | | 10 | 19 | | 11 | 25 | | 12 | 26 | | 13 | 10 | | 14 | 13 | | 15 | 15 | | 16 | 15 | | 17 | 24 | | 18 | 12 | | 19 | 14 | | 20 | 3 | | 21 | 37 | | 22 | 16 | | 23 | 13 | | 24 | 22 | | 25 | 1 | | 26 | 7 | | 27 | 23 | | 28 | 2 | | 29 | 26 | | 30 | 25 | | 31 | 6 | | 32 | 12 | | 33 | 21 | | 34 | 21 | | 35 | 7 | | 36 | 2 | | 37 | 21 | | 38 | 20 | | 39 | 11 | | 40 | 25 | | 41 | 16 | | 42 | 10 | | 43 | 2 | | 44 | 2 | | 45 | 7 | | 46 | 27 | | 47 | 25 | | 48 | 21 | | 49 | 8 |
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| 98.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6 | | totalSentences | 100 | | uniqueOpeners | 60 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 60 | | matches | | 0 | "Her moped helmet swung by" | | 1 | "He closed the book, the" | | 2 | "His left leg dragged a" | | 3 | "He navigated the narrow gap" | | 4 | "He set the glasses on" | | 5 | "His voice snagged." | | 6 | "He turned his head an" | | 7 | "His mouth opened, closed, then" | | 8 | "He leaned a hip against" | | 9 | "His shoulders dropped an inch," | | 10 | "His fingers remained splayed on" |
| | ratio | 0.183 | |
| 93.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 60 | | matches | | 0 | "Rain sluiced down the leaded" | | 1 | "Rory pushed through the oak" | | 2 | "Her moped helmet swung by" | | 3 | "He closed the book, the" | | 4 | "His left leg dragged a" | | 5 | "Rory unzipped her wet collar," | | 6 | "Silas filled a highball glass" | | 7 | "Silk ties, gold cufflinks, leather" | | 8 | "An October squall had driven" | | 9 | "He navigated the narrow gap" | | 10 | "He set the glasses on" | | 11 | "His voice snagged." | | 12 | "He turned his head an" | | 13 | "Rory kept her left hand" | | 14 | "Nobody inside the M25 owned" | | 15 | "Aurora belonged to lecture theatres" | | 16 | "Toby Pritchard stared, the courtroom" | | 17 | "Silas paused with a fresh" | | 18 | "A silent offer hung in" | | 19 | "Rory tapped two fingers against" |
| | ratio | 0.733 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 60 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 4 | | matches | | 0 | "Low amber bulbs hung from brass chains above his head, picking out the grey streaks in his auburn hair and trim matching beard." | | 1 | "Toby Pritchard stared, the courtroom briskness draining from his face to leave the round-cheeked boy who used to borrow her Pre-Law notes twenty minutes before …" | | 2 | "Toby let out a short, breathless laugh that died between them, gesturing at her heavy waterproof trousers and scuffed toe-caps." | | 3 | "Rory looked at him—at the crisp chalk-stripe cuff peeking from his coat sleeve, the unblemished hands that had never scrubbed soy sauce from nylon in a bathroom…" |
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| 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 | |