| 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 | |
| 92.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1385 | | 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) | |
| 20.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1385 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "footfall" | | 1 | "testament" | | 2 | "rhythmic" | | 3 | "beacon" | | 4 | "stark" | | 5 | "familiar" | | 6 | "echo" | | 7 | "footsteps" | | 8 | "facade" | | 9 | "chill" | | 10 | "glint" | | 11 | "intricate" | | 12 | "vibrated" | | 13 | "wavering" | | 14 | "cacophony" | | 15 | "chaotic" | | 16 | "hulking" | | 17 | "stomach" | | 18 | "shimmered" |
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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 | 115 | | matches | (empty) | |
| 93.17% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1380 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1370 | | uniqueNames | 15 | | maxNameDensity | 0.8 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | London | 1 | | Harlow | 11 | | Quinn | 1 | | Raven | 1 | | Nest | 1 | | Silas | 1 | | Soho | 1 | | Victorian | 1 | | Herrera | 5 | | Camden | 1 | | Underground | 1 | | Tube | 2 | | Morris | 3 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Silas" | | 4 | "Herrera" | | 5 | "Morris" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Victorian" | | 3 | "Tube" |
| | globalScore | 1 | | windowScore | 1 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 5 | | matches | | 0 | "looked like a cornered fox, not a hardene" | | 1 | "quite place" | | 2 | "looked like a piece of bone, smoothed and" | | 3 | "felt like a cage" | | 4 | "felt like a physical touch, assessing," |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.725 | | wordCount | 1380 | | matches | | 0 | "not with malice, but with a stark, animal terror" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 80.10% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 62.73 | | std | 27 | | cv | 0.43 | | sampleLengths | | 0 | 86 | | 1 | 105 | | 2 | 6 | | 3 | 71 | | 4 | 84 | | 5 | 74 | | 6 | 67 | | 7 | 62 | | 8 | 83 | | 9 | 69 | | 10 | 9 | | 11 | 98 | | 12 | 10 | | 13 | 75 | | 14 | 31 | | 15 | 76 | | 16 | 45 | | 17 | 86 | | 18 | 65 | | 19 | 57 | | 20 | 50 | | 21 | 71 |
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| 93.06% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 115 | | matches | | 0 | "was sealed" | | 1 | "were made" | | 2 | "were made" | | 3 | "were gone" | | 4 | "were crammed" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 222 | | matches | | 0 | "was running" | | 1 | "was leading" | | 2 | "was heading" | | 3 | "wasn’t searching" | | 4 | "was waiting" | | 5 | "was haggling" | | 6 | "wasn’t running" | | 7 | "was bandaging" |
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| 43.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 115 | | ratio | 0.035 | | matches | | 0 | "Her world had narrowed to the back of the man’s head—short, curly dark hair plastered to his skull—and the rhythmic slap of his expensive-looking shoes on the wet tarmac." | | 1 | "The glint of a silver chain around his neck—a medallion of some kind." | | 2 | "The brickwork didn’t move aside; it seemed to dissolve, the mortar turning to smoke and the bricks fading like a bad dream." | | 3 | "But the memory of Morris—of his terrified eyes and the impossible geometry of the room where he’d vanished—was a cold knot in her gut." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 786 | | adjectiveStacks | 1 | | stackExamples | | 0 | "short, curly dark hair" |
| | adverbCount | 18 | | adverbRatio | 0.022900763358778626 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006361323155216285 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 12 | | std | 7.6 | | cv | 0.633 | | sampleLengths | | 0 | 28 | | 1 | 22 | | 2 | 20 | | 3 | 10 | | 4 | 3 | | 5 | 3 | | 6 | 14 | | 7 | 14 | | 8 | 15 | | 9 | 29 | | 10 | 29 | | 11 | 2 | | 12 | 2 | | 13 | 6 | | 14 | 20 | | 15 | 15 | | 16 | 21 | | 17 | 11 | | 18 | 4 | | 19 | 7 | | 20 | 17 | | 21 | 16 | | 22 | 10 | | 23 | 4 | | 24 | 10 | | 25 | 1 | | 26 | 2 | | 27 | 3 | | 28 | 14 | | 29 | 12 | | 30 | 13 | | 31 | 24 | | 32 | 11 | | 33 | 4 | | 34 | 10 | | 35 | 9 | | 36 | 21 | | 37 | 19 | | 38 | 15 | | 39 | 3 | | 40 | 8 | | 41 | 16 | | 42 | 13 | | 43 | 7 | | 44 | 3 | | 45 | 15 | | 46 | 11 | | 47 | 11 | | 48 | 13 | | 49 | 22 |
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| 30.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.2782608695652174 | | totalSentences | 115 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 64.44% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 108 | | matches | | 0 | "He vaulted over a locked" | | 1 | "She weaved through the stalled" | | 2 | "Her world had narrowed to" | | 3 | "He’d come out of The" | | 4 | "He cut left down a" | | 5 | "He risked a glance over" | | 6 | "He looked like a cornered" | | 7 | "He also looked familiar." | | 8 | "He slowed, his frantic run" | | 9 | "He stopped before a familiar" | | 10 | "He was trapped." | | 11 | "She watched, her detective’s mind" | | 12 | "He wasn’t searching for a" | | 13 | "He was waiting." | | 14 | "His hand went to his" | | 15 | "It was a small, pale" | | 16 | "It looked like a piece" | | 17 | "He held it up to" | | 18 | "It was the same cold" | | 19 | "It was a trick, a" |
| | ratio | 0.389 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 108 | | matches | | 0 | "The rain was a physical" | | 1 | "Detective Harlow Quinn pursued her" | | 2 | "Each footfall was a controlled" | | 3 | "The suspect was younger, faster," | | 4 | "He vaulted over a locked" | | 5 | "Harlow didn’t break stride, her" | | 6 | "She weaved through the stalled" | | 7 | "Her world had narrowed to" | | 8 | "He’d come out of The" | | 9 | "That in itself was an" | | 10 | "He cut left down a" | | 11 | "Harlow followed, her hand instinctively" | | 12 | "The alley opened into a" | | 13 | "The man was leading her" | | 14 | "This was a route." | | 15 | "He risked a glance over" | | 16 | "Olive skin, wide, warm brown" | | 17 | "He looked like a cornered" | | 18 | "He also looked familiar." | | 19 | "A file she’d read, a" |
| | ratio | 0.889 | |
| 92.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 108 | | matches | | 0 | "To turn away was to" | | 1 | "To follow was to step" |
| | ratio | 0.019 | |
| 89.55% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 5 | | matches | | 0 | "The rain was a physical thing, a solid wall of water that slammed against the pavement and turned the London night into a smear of neon and darkness." | | 1 | "Each footfall was a controlled impact, a testament to the military precision that had governed her life for twenty years." | | 2 | "Harlow slowed to a walk, keeping her distance, her breath misting in the chill air." | | 3 | "He stopped at a stall laden with medical supplies, talking to a woman with spiraling horns who was bandaging a man’s arm with a wrap that glowed softly." | | 4 | "Every pair of eyes that slid past her felt like a physical touch, assessing, judging." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |