| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 87 | | tagDensity | 0.057 | | leniency | 0.115 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2093 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 85.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2093 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "footsteps" | | 1 | "flicked" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "weight" |
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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 | 2 | | narrationSentences | 186 | | matches | | 0 | "d with fear" | | 1 | "p with panic" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 186 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 267 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2091 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 65 | | wordCount | 1656 | | uniqueNames | 16 | | maxNameDensity | 2.11 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 35 | | Peugeot | 1 | | Soho | 2 | | Greek | 1 | | Street | 1 | | London | 2 | | Raven | 1 | | Nest | 1 | | London-night | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 1 | | Tomás | 11 | | Silas | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Herrera" | | 6 | "Tomás" | | 7 | "Silas" |
| | places | | 0 | "Soho" | | 1 | "Greek" | | 2 | "Street" | | 3 | "London" | | 4 | "London-night" |
| | globalScore | 0.443 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 122 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.478 | | wordCount | 2091 | | matches | | 0 | "not forceful, but enough to stop her" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 267 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 163 | | mean | 12.83 | | std | 14.2 | | cv | 1.107 | | sampleLengths | | 0 | 31 | | 1 | 15 | | 2 | 44 | | 3 | 8 | | 4 | 6 | | 5 | 11 | | 6 | 49 | | 7 | 1 | | 8 | 7 | | 9 | 51 | | 10 | 3 | | 11 | 8 | | 12 | 53 | | 13 | 15 | | 14 | 11 | | 15 | 12 | | 16 | 36 | | 17 | 17 | | 18 | 56 | | 19 | 3 | | 20 | 53 | | 21 | 5 | | 22 | 8 | | 23 | 3 | | 24 | 26 | | 25 | 20 | | 26 | 3 | | 27 | 34 | | 28 | 15 | | 29 | 9 | | 30 | 40 | | 31 | 3 | | 32 | 40 | | 33 | 2 | | 34 | 7 | | 35 | 30 | | 36 | 3 | | 37 | 3 | | 38 | 5 | | 39 | 6 | | 40 | 6 | | 41 | 16 | | 42 | 3 | | 43 | 14 | | 44 | 14 | | 45 | 1 | | 46 | 1 | | 47 | 14 | | 48 | 3 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 186 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 287 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 267 | | ratio | 0.004 | | matches | | 0 | "Quinn caught one look at his face under the streetlight—young, narrow-eyed, with a bruise blooming under one cheekbone—and he bolted." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1667 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 56 | | adverbRatio | 0.033593281343731254 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0023995200959808036 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 267 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 267 | | mean | 7.83 | | std | 5.94 | | cv | 0.758 | | sampleLengths | | 0 | 31 | | 1 | 15 | | 2 | 28 | | 3 | 16 | | 4 | 8 | | 5 | 1 | | 6 | 1 | | 7 | 4 | | 8 | 11 | | 9 | 9 | | 10 | 9 | | 11 | 7 | | 12 | 24 | | 13 | 1 | | 14 | 7 | | 15 | 23 | | 16 | 8 | | 17 | 20 | | 18 | 3 | | 19 | 2 | | 20 | 2 | | 21 | 4 | | 22 | 23 | | 23 | 8 | | 24 | 11 | | 25 | 11 | | 26 | 15 | | 27 | 11 | | 28 | 12 | | 29 | 6 | | 30 | 4 | | 31 | 10 | | 32 | 16 | | 33 | 11 | | 34 | 6 | | 35 | 15 | | 36 | 12 | | 37 | 14 | | 38 | 15 | | 39 | 3 | | 40 | 12 | | 41 | 23 | | 42 | 11 | | 43 | 3 | | 44 | 4 | | 45 | 5 | | 46 | 8 | | 47 | 3 | | 48 | 10 | | 49 | 16 |
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| 46.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.31086142322097376 | | totalSentences | 267 | | uniqueOpeners | 83 | |
| 40.40% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 165 | | matches | | 0 | "Somewhere deeper, a bell rang" | | 1 | "Just wet stone, bad light," |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 165 | | matches | | 0 | "He slipped between a taxi" | | 1 | "she muttered, and slammed the" | | 2 | "She was out before the" | | 3 | "Her coat already clung to" | | 4 | "She caught sight of the" | | 5 | "She barreled through the crowd," | | 6 | "He headed south." | | 7 | "He knew the streets." | | 8 | "He answered by shoving through" | | 9 | "Its doors folded open." | | 10 | "she said, catching sight of" | | 11 | "He turned down a lane" | | 12 | "He vaulted a low barrier," | | 13 | "She closed the gap." | | 14 | "she called, lungs tight" | | 15 | "He twisted and flashed the" | | 16 | "His voice was young, London" | | 17 | "He crammed the pouch into" | | 18 | "She knew the place." | | 19 | "His expression held the kind" |
| | ratio | 0.273 | |
| 35.76% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 140 | | totalSentences | 165 | | matches | | 0 | "The radio hissed with static" | | 1 | "He slipped between a taxi" | | 2 | "Quinn saw the silver flash" | | 3 | "she muttered, and slammed the" | | 4 | "She was out before the" | | 5 | "Her coat already clung to" | | 6 | "She caught sight of the" | | 7 | "Nobody moved fast enough for" | | 8 | "She barreled through the crowd," | | 9 | "The suspect shot a glance" | | 10 | "Quinn caught one look at" | | 11 | "He headed south." | | 12 | "He knew the streets." | | 13 | "Quinn lengthened her stride and" | | 14 | "A cyclist cursed when he" | | 15 | "The suspect ducked around him" | | 16 | "Quinn followed, boots slapping the" | | 17 | "The man knocked over a" | | 18 | "Quinn’s voice cut through the" | | 19 | "He answered by shoving through" |
| | ratio | 0.848 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 165 | | matches | (empty) | | ratio | 0 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 66 | | technicalSentenceCount | 4 | | matches | | 0 | "Ahead, a man in a black hooded coat darted out of a side street, shoulders hunched, one hand clamped around a narrow pouch that thumped against his hip." | | 1 | "The man led her past a row of closed restaurants, then into a service alley that smelled of rotting bins and hot grease." | | 2 | "Quinn eased the door open and looked down a steep stairwell that descended into black." | | 3 | "Just wet stone, bad light, and a suspect with something in his pocket that had dragged her through half of Soho." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Tomás whispered (whisper)" |
| | dialogueSentences | 87 | | tagDensity | 0.057 | | leniency | 0.115 | | rawRatio | 0.4 | | effectiveRatio | 0.046 | |