| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "he gestured vaguely [vaguely]" | | 1 | "he said softly [softly]" |
| | dialogueSentences | 34 | | tagDensity | 0.441 | | leniency | 0.882 | | rawRatio | 0.133 | | effectiveRatio | 0.118 | |
| 92.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1272 | | 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) | |
| 41.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1272 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulse" | | 1 | "scanning" | | 2 | "silence" | | 3 | "echoed" | | 4 | "flickered" | | 5 | "fractured" | | 6 | "glint" | | 7 | "fluttered" | | 8 | "chill" | | 9 | "gloom" | | 10 | "implication" | | 11 | "echo" | | 12 | "pulsed" |
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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 | 146 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 146 | | filterMatches | | | hedgeMatches | | |
| 99.27% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 165 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0.006 | | matches | | 0 | "\"That集会,\" he gestured vaguely." |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 8 | | totalWords | 1271 | | ratio | 0.006 | | matches | | 0 | "The Veil Market." | | 1 | "Entry may require specific clearance." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1095 | | uniqueNames | 17 | | maxNameDensity | 2.1 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 23 | | Morris | 1 | | Metropolitan | 1 | | Police | 1 | | Soho | 1 | | Herrera | 1 | | Camden | 1 | | Veil | 1 | | Underground | 1 | | Tomás | 12 | | Saint | 1 | | Christopher | 1 | | Torres | 1 | | Clique | 1 | | Tomas | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Police" | | 4 | "Herrera" | | 5 | "Underground" | | 6 | "Tomás" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Torres" | | 10 | "Clique" | | 11 | "Tomas" |
| | places | | 0 | "London" | | 1 | "Soho" | | 2 | "Camden" |
| | globalScore | 0.45 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | 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 | 1271 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 165 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 23.98 | | std | 21.26 | | cv | 0.886 | | sampleLengths | | 0 | 91 | | 1 | 54 | | 2 | 69 | | 3 | 68 | | 4 | 9 | | 5 | 52 | | 6 | 45 | | 7 | 10 | | 8 | 42 | | 9 | 16 | | 10 | 10 | | 11 | 15 | | 12 | 18 | | 13 | 16 | | 14 | 6 | | 15 | 12 | | 16 | 21 | | 17 | 11 | | 18 | 27 | | 19 | 35 | | 20 | 4 | | 21 | 31 | | 22 | 13 | | 23 | 4 | | 24 | 18 | | 25 | 15 | | 26 | 46 | | 27 | 8 | | 28 | 7 | | 29 | 7 | | 30 | 26 | | 31 | 3 | | 32 | 24 | | 33 | 4 | | 34 | 27 | | 35 | 64 | | 36 | 11 | | 37 | 7 | | 38 | 11 | | 39 | 28 | | 40 | 4 | | 41 | 1 | | 42 | 41 | | 43 | 7 | | 44 | 18 | | 45 | 12 | | 46 | 82 | | 47 | 17 | | 48 | 7 | | 49 | 10 |
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| 90.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 146 | | matches | | 0 | "was plastered" | | 1 | "been burned" | | 2 | "was weaponized" | | 3 | "been told" | | 4 | "was replaced" | | 5 | "was found" |
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| 69.28% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 204 | | matches | | 0 | "was rattling" | | 1 | "was saving" | | 2 | "was just saving" | | 3 | "was just beginning" |
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| 73.59% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 3 | | flaggedSentences | 4 | | totalSentences | 165 | | ratio | 0.024 | | matches | | 0 | "The rain in London did not wash things clean; it only soaked the rot deeper." | | 1 | "And then—the scar." | | 2 | "The air inside the abandoned tube station was rattling with the sound of the distance; it smelled of wet concrete, ozone, and the copper scent of old blood." | | 3 | "But he was also complicit in the way the Clique operated; the medical aid he provided was weaponized." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1101 | | adjectiveStacks | 1 | | stackExamples | | 0 | "open grating beneath their" |
| | adverbCount | 28 | | adverbRatio | 0.025431425976385105 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.009990917347865577 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 165 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 165 | | mean | 7.7 | | std | 5.15 | | cv | 0.668 | | sampleLengths | | 0 | 15 | | 1 | 29 | | 2 | 20 | | 3 | 27 | | 4 | 12 | | 5 | 13 | | 6 | 13 | | 7 | 5 | | 8 | 6 | | 9 | 5 | | 10 | 12 | | 11 | 3 | | 12 | 18 | | 13 | 4 | | 14 | 16 | | 15 | 6 | | 16 | 10 | | 17 | 13 | | 18 | 5 | | 19 | 4 | | 20 | 17 | | 21 | 7 | | 22 | 4 | | 23 | 4 | | 24 | 1 | | 25 | 13 | | 26 | 6 | | 27 | 3 | | 28 | 15 | | 29 | 6 | | 30 | 3 | | 31 | 16 | | 32 | 1 | | 33 | 11 | | 34 | 6 | | 35 | 11 | | 36 | 28 | | 37 | 10 | | 38 | 8 | | 39 | 20 | | 40 | 14 | | 41 | 11 | | 42 | 5 | | 43 | 10 | | 44 | 5 | | 45 | 10 | | 46 | 3 | | 47 | 4 | | 48 | 11 | | 49 | 8 |
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| 32.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 29 | | diversityRatio | 0.23030303030303031 | | totalSentences | 165 | | uniqueOpeners | 38 | |
| 24.88% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 134 | | matches | | 0 | "Only the silence remained." |
| | ratio | 0.007 | |
| 85.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 134 | | matches | | 0 | "Her salt-and-pepper hair was plastered" | | 1 | "She pushed through the throng" | | 2 | "She had the intel." | | 3 | "She followed the trail of" | | 4 | "She didn't need clearance for" | | 5 | "She had suspicion." | | 6 | "He stopped just inside the" | | 7 | "He was olive-skinned, thirty, with" | | 8 | "he said, the accent rounding" | | 9 | "He looked down at the" | | 10 | "He didn't look away." | | 11 | "he gestured vaguely" | | 12 | "She knew of the token" | | 13 | "he said softly" | | 14 | "He was saving something in" | | 15 | "He pulled his arm out" | | 16 | "She didn't step where she" | | 17 | "She pressed a flat button" | | 18 | "She passed the scarred forearm" | | 19 | "She didn't need permission from" |
| | ratio | 0.336 | |
| 23.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 117 | | totalSentences | 134 | | matches | | 0 | "The rain in London did" | | 1 | "Detective Harlow Quinn wiped a" | | 2 | "Her salt-and-pepper hair was plastered" | | 3 | "The Metropolitan Police labeled it" | | 4 | "Quinn labeled it a warning." | | 5 | "Every shadow here was a" | | 6 | "Every closed door, an opportunity." | | 7 | "The target turned the corner," | | 8 | "Quinn didn't hesitate." | | 9 | "She pushed through the throng" | | 10 | "She had the intel." | | 11 | "The man matched the pattern" | | 12 | "Tomás Herrera stood somewhere in" | | 13 | "She followed the trail of" | | 14 | "Here, the city stopped breathing." | | 15 | "The anonymity was heavier." | | 16 | "The light from the streetlamps" | | 17 | "Quinn shone her flashlight into" | | 18 | "The label was faded." | | 19 | "*The Veil Market.* Underground." |
| | ratio | 0.873 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 6 | | totalSentences | 134 | | matches | | 0 | "If he was a suspect," | | 1 | "If it was a mafia," | | 2 | "If Tomas was safe, the" | | 3 | "If Tomas wasn't safe, she" | | 4 | "If she didn't carry it," | | 5 | "If she did, it was" |
| | ratio | 0.045 | |
| 86.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 3 | | matches | | 0 | "She pushed through the throng of adjusting buses and pedestrians, the radio strapped to her belt beeping uselessly." | | 1 | "The man matched the pattern of the activities surrounding the dormant clique that infested the city." | | 2 | "He was olive-skinned, thirty, with the sharp, nervous energy of a man who had been burned before and burned again." |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, the accent rounding the vowels" | | 1 | "Tomás said, dryly" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 34 | | tagDensity | 0.353 | | leniency | 0.706 | | rawRatio | 0.083 | | effectiveRatio | 0.059 | |