| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 94.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1922 | | 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) | |
| 66.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1922 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "chill" | | 1 | "fluttered" | | 2 | "measured" | | 3 | "jaw clenched" | | 4 | "familiar" | | 5 | "tension" | | 6 | "scanning" | | 7 | "etched" | | 8 | "standard" | | 9 | "database" | | 10 | "magnetic" | | 11 | "echoed" | | 12 | "charged" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 214 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 214 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 214 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1922 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 14 | | matches | | 0 | "You re here late, Detective, Vance said." | | 1 | "Traffic on Charing Cross Road, Quinn lied." | | 2 | "Botched fencing operation, Vance said." | | 3 | "You re seeing things again, Quinn, Vance said, watching her from three paces away." | | 4 | "Condensation doesn t smell like burnt sage and galvanic wire, Quinn answered, standing." | | 5 | "That s an antique, Vance said, coming up behind her." | | 6 | "Vance, she said, her voice low." | | 7 | "Two rounds in three seconds is a rush job, Quinn said." | | 8 | "The clique, she murmured." | | 9 | "The pattern, Quinn said, turning to face him." | | 10 | "Paperwork doesn t bleed ozone, Quinn said quietly." | | 11 | "You re asking me to ignore ballistics, Vance said, patience fraying." | | 12 | "I m asking you to look at the room, Quinn replied." | | 13 | "Fair enough, Quinn said." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 65 | | wordCount | 1922 | | uniqueNames | 22 | | maxNameDensity | 1.14 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Quinn | 22 | | Victorian | 1 | | Underground | 1 | | Metropolitan | 1 | | Police | 2 | | Elias | 1 | | Vance | 13 | | Detective | 1 | | London-rough | 1 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Yard | 1 | | Morris | 3 | | Notting | 1 | | Hill | 1 | | Met | 1 | | Veil | 1 | | Market | 1 | | You | 5 | | Two | 4 |
| | persons | | 0 | "Quinn" | | 1 | "Victorian" | | 2 | "Police" | | 3 | "Elias" | | 4 | "Vance" | | 5 | "Morris" | | 6 | "Market" | | 7 | "You" | | 8 | "Two" |
| | places | | 0 | "Underground" | | 1 | "Charing" | | 2 | "Cross" | | 3 | "Road" | | 4 | "Yard" | | 5 | "Notting" | | 6 | "Hill" | | 7 | "Met" |
| | globalScore | 0.928 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 143 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like blooming moss" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.52 | | wordCount | 1922 | | matches | | 0 | "not collapsed from impact, but laid out" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 214 | | matches | | 0 | "manifests that didn" | | 1 | "kept that ghost" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 48.05 | | std | 29.62 | | cv | 0.616 | | sampleLengths | | 0 | 86 | | 1 | 78 | | 2 | 32 | | 3 | 24 | | 4 | 33 | | 5 | 55 | | 6 | 57 | | 7 | 57 | | 8 | 89 | | 9 | 26 | | 10 | 37 | | 11 | 35 | | 12 | 50 | | 13 | 82 | | 14 | 32 | | 15 | 21 | | 16 | 11 | | 17 | 67 | | 18 | 14 | | 19 | 21 | | 20 | 64 | | 21 | 15 | | 22 | 58 | | 23 | 117 | | 24 | 4 | | 25 | 4 | | 26 | 46 | | 27 | 39 | | 28 | 45 | | 29 | 130 | | 30 | 11 | | 31 | 55 | | 32 | 64 | | 33 | 74 | | 34 | 54 | | 35 | 6 | | 36 | 60 | | 37 | 86 | | 38 | 25 | | 39 | 58 |
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| 95.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 214 | | matches | | 0 | "was etched" | | 1 | "were positioned" | | 2 | "been used" | | 3 | "being buried" | | 4 | "been scratched" | | 5 | "been handed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 330 | | matches | | 0 | "was fighting" | | 1 | "were already being" | | 2 | "was pointing" | | 3 | "was measuring" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 214 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1932 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 47 | | adverbRatio | 0.024327122153209108 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.007763975155279503 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 214 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 214 | | mean | 8.98 | | std | 5.88 | | cv | 0.654 | | sampleLengths | | 0 | 17 | | 1 | 17 | | 2 | 22 | | 3 | 18 | | 4 | 12 | | 5 | 16 | | 6 | 25 | | 7 | 17 | | 8 | 10 | | 9 | 10 | | 10 | 23 | | 11 | 9 | | 12 | 7 | | 13 | 17 | | 14 | 7 | | 15 | 22 | | 16 | 4 | | 17 | 14 | | 18 | 8 | | 19 | 33 | | 20 | 5 | | 21 | 8 | | 22 | 18 | | 23 | 5 | | 24 | 3 | | 25 | 7 | | 26 | 6 | | 27 | 5 | | 28 | 5 | | 29 | 10 | | 30 | 17 | | 31 | 2 | | 32 | 2 | | 33 | 2 | | 34 | 7 | | 35 | 12 | | 36 | 6 | | 37 | 4 | | 38 | 14 | | 39 | 11 | | 40 | 10 | | 41 | 18 | | 42 | 6 | | 43 | 2 | | 44 | 2 | | 45 | 16 | | 46 | 14 | | 47 | 5 | | 48 | 7 | | 49 | 13 |
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| 52.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.3691588785046729 | | totalSentences | 214 | | uniqueOpeners | 79 | |
| 67.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 197 | | matches | | 0 | "Probably stolen from a boutique" | | 1 | "Just bad wiring and old" | | 2 | "Somewhere in the dark tunnels," | | 3 | "Then he exhaled, shoulders slumping" |
| | ratio | 0.02 | |
| 92.08% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 63 | | totalSentences | 197 | | matches | | 0 | "She counted the steps down" | | 1 | "Her closely cropped salt-and-pepper hair" | | 2 | "She checked the worn leather" | | 3 | "He looked up as her" | | 4 | "You re here late, Detective," | | 5 | "His accent was flat, London-rough," | | 6 | "We found the stash in" | | 7 | "We re looking at turf" | | 8 | "She stepped past the tape," | | 9 | "She crouched beside the nearest" | | 10 | "It pooled in unnatural concentric" | | 11 | "It left a faint, chalky" | | 12 | "You re seeing things again," | | 13 | "It s a damp station." | | 14 | "Her boots scuffed the tile" | | 15 | "We ve got a dozen" | | 16 | "Her gaze drifted to the" | | 17 | "She approached the crate." | | 18 | "It was trembling, vibrating at" | | 19 | "It pointed directly at a" |
| | ratio | 0.32 | |
| 99.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 142 | | totalSentences | 197 | | matches | | 0 | "The damp chill of the" | | 1 | "She counted the steps down" | | 2 | "Flashlight beams cut through the" | | 3 | "Someone had strung up temporary" | | 4 | "Police tape fluttered across the" | | 5 | "Harlow Quinn moved with the" | | 6 | "Her closely cropped salt-and-pepper hair" | | 7 | "She checked the worn leather" | | 8 | "The watch s second hand" | | 9 | "He looked up as her" | | 10 | "You re here late, Detective," | | 11 | "His accent was flat, London-rough," | | 12 | "Traffic on Charing Cross Road," | | 13 | "The truth was she d" | | 14 | "Vance gestured with a pen" | | 15 | "We found the stash in" | | 16 | "These two were the buyers." | | 17 | "Doesn t matter who pulled" | | 18 | "We re looking at turf" | | 19 | "Quinn didn t answer immediately." |
| | ratio | 0.721 | |
| 50.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 197 | | matches | | 0 | "As though the killers had" | | 1 | "If I m wrong, Quinn," |
| | ratio | 0.01 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 82 | | technicalSentenceCount | 8 | | matches | | 0 | "Harlow Quinn moved with the measured economy of someone who knew the value of wasted motion." | | 1 | "It pooled in unnatural concentric rings, as though repelled by something at the center." | | 2 | "Something that crackled under her thumb and carried the sharp sting of ozone and crushed pennyroyal." | | 3 | "And condensation doesn t leave a thermal signature that defies basic thermodynamics." | | 4 | "The compass sat on the black foam, its casing eaten by a green verdigris that looked like blooming moss." | | 5 | "It was trembling, vibrating at a frequency that made her molars ache." | | 6 | "I m talking like a cop who s seen enough bodies to know the difference between a shooting and a slaughter, Quinn shot back, her military precision hardening her…" | | 7 | "Vance shook his head, running a hand through his thinning hair." |
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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 | |