| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 1 | | adverbTags | | 0 | "he shouted back [back]" |
| | dialogueSentences | 21 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.167 | | effectiveRatio | 0.095 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1077 | | 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) | |
| 81.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1077 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "pulse" | | 1 | "footsteps" | | 2 | "standard" | | 3 | "flickered" |
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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 | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1069 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.98% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 882 | | uniqueNames | 10 | | maxNameDensity | 1.02 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | High | 1 | | Street | 1 | | Harlow | 1 | | Quinn | 9 | | Raven | 1 | | Nest | 1 | | Herrera | 5 | | Underground | 1 | | Morris | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Raven" |
| | globalScore | 0.99 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "quite sewer and wasn't quite smoke" | | 1 | "quite smoke" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1069 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 31.44 | | std | 26.25 | | cv | 0.835 | | sampleLengths | | 0 | 48 | | 1 | 2 | | 2 | 63 | | 3 | 65 | | 4 | 34 | | 5 | 6 | | 6 | 14 | | 7 | 68 | | 8 | 61 | | 9 | 56 | | 10 | 5 | | 11 | 74 | | 12 | 5 | | 13 | 37 | | 14 | 46 | | 15 | 2 | | 16 | 3 | | 17 | 77 | | 18 | 4 | | 19 | 4 | | 20 | 35 | | 21 | 39 | | 22 | 28 | | 23 | 4 | | 24 | 20 | | 25 | 75 | | 26 | 25 | | 27 | 5 | | 28 | 75 | | 29 | 10 | | 30 | 4 | | 31 | 24 | | 32 | 46 | | 33 | 5 |
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| 91.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 79 | | matches | | 0 | "being weighed" | | 1 | "was gone" | | 2 | "got filed" | | 3 | "got signed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 166 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 93 | | ratio | 0.075 | | matches | | 0 | "Herrera moved like that now—frantic, but with purpose." | | 1 | "He'd ducked through a gap where a hoarding had peeled away from a brick arch—an old Underground entrance, boarded for decades, the tiles behind the slats furred with grime." | | 2 | "The beam swept down a staircase that descended further than any disused station had a right to, the steps slick with condensation, the walls scrawled with symbols she didn't recognise—not gang tags, not the usual scrawl." | | 3 | "He hadn't come back—not as himself." | | 4 | "Her torch picked out the bones first—small ones, finger-length, threaded on wire and hung from the ceiling in clusters that clicked when the draught moved them." | | 5 | "Beyond the booth the passage opened, and Quinn could see it now—stalls strung with lanterns that burned colours fire shouldn't burn, green and bruise-purple, a corridor of canvas and salvaged timber stretching into a dark too deep for an abandoned platform." | | 6 | "She caught a flash of him—the satchel, the curve of his shoulder—before the crowd folded around him and he was gone." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 895 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.026815642458100558 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0022346368715083797 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 11.49 | | std | 9.51 | | cv | 0.828 | | sampleLengths | | 0 | 18 | | 1 | 22 | | 2 | 8 | | 3 | 2 | | 4 | 2 | | 5 | 35 | | 6 | 2 | | 7 | 7 | | 8 | 17 | | 9 | 12 | | 10 | 9 | | 11 | 9 | | 12 | 21 | | 13 | 8 | | 14 | 6 | | 15 | 7 | | 16 | 15 | | 17 | 12 | | 18 | 6 | | 19 | 11 | | 20 | 3 | | 21 | 2 | | 22 | 17 | | 23 | 29 | | 24 | 20 | | 25 | 5 | | 26 | 12 | | 27 | 36 | | 28 | 1 | | 29 | 1 | | 30 | 6 | | 31 | 13 | | 32 | 15 | | 33 | 2 | | 34 | 6 | | 35 | 5 | | 36 | 15 | | 37 | 5 | | 38 | 5 | | 39 | 10 | | 40 | 7 | | 41 | 8 | | 42 | 31 | | 43 | 8 | | 44 | 5 | | 45 | 5 | | 46 | 11 | | 47 | 16 | | 48 | 3 | | 49 | 2 |
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| 65.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.44086021505376344 | | totalSentences | 93 | | uniqueOpeners | 41 | |
| 46.95% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 71 | | matches | | | ratio | 0.014 | |
| 96.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 71 | | matches | | 0 | "He'd never stopped, not since" | | 1 | "She knew the face from" | | 2 | "He vaulted a row of" | | 3 | "He knew where he was" | | 4 | "He hit it without slowing," | | 5 | "he shouted back, already moving" | | 6 | "He'd ducked through a gap" | | 7 | "Her hand found the grip" | | 8 | "He hadn't come back—not as" | | 9 | "She should call it in." | | 10 | "Her radio was already in" | | 11 | "She knew what dispatch would" | | 12 | "They'd send a unit to" | | 13 | "They always found empty stairwells." | | 14 | "She tried again." | | 15 | "She stood there, rain dripping" | | 16 | "She went down." | | 17 | "Her torch picked out the" | | 18 | "It stayed on her, patient" | | 19 | "She caught a flash of" |
| | ratio | 0.31 | |
| 58.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 71 | | matches | | 0 | "The rain came sideways, hammering" | | 1 | "Detective Harlow Quinn ran with" | | 2 | "He'd never stopped, not since" | | 3 | "She knew the face from" | | 4 | "He vaulted a row of" | | 5 | "Quinn followed, her shoulder clipping" | | 6 | "The watch on her wrist" | | 7 | "Herrera moved like that now—frantic," | | 8 | "He knew where he was" | | 9 | "The alley dead-ended at a" | | 10 | "He hit it without slowing," | | 11 | "Quinn reached the base as" | | 12 | "he shouted back, already moving" | | 13 | "The fence bit her palms" | | 14 | "He'd ducked through a gap" | | 15 | "A draught breathed out of" | | 16 | "Quinn slowed at the threshold." | | 17 | "Her hand found the grip" | | 18 | "The beam swept down a" | | 19 | "A language of hooks and" |
| | ratio | 0.803 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "Detective Harlow Quinn ran with her coat plastered to her shoulders, boots slapping puddles that swallowed the neon glow of shuttered shopfronts." | | 1 | "The beam swept down a staircase that descended further than any disused station had a right to, the steps slick with condensation, the walls scrawled with symbo…" | | 2 | "She knew what dispatch would make of an underground market beneath Camden, of bone tokens and a fence and a man who'd told her she didn't understand what was do…" | | 3 | "As Quinn approached, the figure lifted its head, and the torchlight found a face that was mostly ordinary except for the eyes, which caught the light wrong, lik…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "he shouted back (shout)" |
| | dialogueSentences | 21 | | tagDensity | 0.095 | | leniency | 0.19 | | rawRatio | 0.5 | | effectiveRatio | 0.095 | |