| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1258 | | totalAiIsmAdverbs | 3 | | 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) | |
| 72.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1258 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "glint" | | 1 | "pulse" | | 2 | "weight" | | 3 | "flicker" | | 4 | "unsettled" | | 5 | "footsteps" |
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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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | 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 | 1274 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 1056 | | uniqueNames | 14 | | maxNameDensity | 0.28 | | worstName | "Herrera" | | maxWindowNameDensity | 1 | | worstWindowName | "Herrera" | | discoveredNames | | Camden | 1 | | High | 1 | | Street | 1 | | Herrera | 3 | | Kentish | 1 | | Town | 1 | | Road | 1 | | Cyrillic | 1 | | Underground | 1 | | London | 1 | | Spanish | 1 | | Tube | 1 | | Saturday | 2 | | Morris | 1 |
| | persons | | 0 | "Herrera" | | 1 | "Spanish" | | 2 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Kentish" | | 4 | "Town" | | 5 | "Road" | | 6 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like, the size of a dog's tooth, t" |
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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 | 1274 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 35.39 | | std | 30.04 | | cv | 0.849 | | sampleLengths | | 0 | 89 | | 1 | 83 | | 2 | 33 | | 3 | 12 | | 4 | 87 | | 5 | 48 | | 6 | 8 | | 7 | 20 | | 8 | 88 | | 9 | 92 | | 10 | 33 | | 11 | 67 | | 12 | 36 | | 13 | 26 | | 14 | 6 | | 15 | 36 | | 16 | 90 | | 17 | 21 | | 18 | 2 | | 19 | 2 | | 20 | 67 | | 21 | 4 | | 22 | 15 | | 23 | 4 | | 24 | 52 | | 25 | 51 | | 26 | 5 | | 27 | 1 | | 28 | 14 | | 29 | 67 | | 30 | 16 | | 31 | 28 | | 32 | 29 | | 33 | 4 | | 34 | 10 | | 35 | 28 |
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| 97.20% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 87 | | matches | | 0 | "been levered" | | 1 | "been allowed" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 9 | | totalVerbs | 173 | | matches | | 0 | "was going" | | 1 | "wasn't looking" | | 2 | "was breathing" | | 3 | "were steadying" | | 4 | "wasn't carrying" | | 5 | "wasn't drawing" | | 6 | "was holding" | | 7 | "was backing" | | 8 | "was doing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 4 | | flaggedSentences | 10 | | totalSentences | 100 | | ratio | 0.1 | | matches | | 0 | "A glint — a chain at his throat, a saint hammered in silver — and a scar along his left forearm where the jacket sleeve had ridden up." | | 1 | "\"Quinn to control.\" Her breath came short; she forced it even." | | 2 | "Eighteen years she'd been doing this, and the body still remembered how — sharp jaw set forward, shoulders loose, the old clean economy the sergeants had drilled into her before she'd earned a single stripe." | | 3 | "A bus went past grinding through its gears; someone shouted at her from a doorway; she didn't look." | | 4 | "He broke right, off the main road, down a side street she didn't know — and then another, and another, into an angle of the city that didn't match the map she'd been keeping in her head." | | 5 | "Halfway down a cul-de-sac that dead-ended in an old Underground roundel — the bar across the O rusted through, the station name scoured off — he turned and looked at her." | | 6 | "He was holding something up — something small, and pale, and curved." | | 7 | "The rusted roundel behind him wasn't a blank wall after all; she could see that now." | | 8 | "The smell was stronger here — smoke, yes, and something that was almost spice and almost blood." | | 9 | "She thought about Morris — his laugh, his terrible ties, the way he'd gone into that house and come out in a bag nobody had been allowed to open." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1054 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.028462998102466792 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0018975332068311196 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 12.74 | | std | 10.8 | | cv | 0.848 | | sampleLengths | | 0 | 32 | | 1 | 39 | | 2 | 18 | | 3 | 9 | | 4 | 2 | | 5 | 8 | | 6 | 28 | | 7 | 1 | | 8 | 29 | | 9 | 6 | | 10 | 11 | | 11 | 22 | | 12 | 7 | | 13 | 5 | | 14 | 15 | | 15 | 12 | | 16 | 35 | | 17 | 12 | | 18 | 13 | | 19 | 5 | | 20 | 33 | | 21 | 10 | | 22 | 8 | | 23 | 5 | | 24 | 15 | | 25 | 7 | | 26 | 7 | | 27 | 24 | | 28 | 18 | | 29 | 18 | | 30 | 5 | | 31 | 9 | | 32 | 37 | | 33 | 7 | | 34 | 3 | | 35 | 8 | | 36 | 37 | | 37 | 2 | | 38 | 31 | | 39 | 7 | | 40 | 4 | | 41 | 6 | | 42 | 21 | | 43 | 29 | | 44 | 6 | | 45 | 12 | | 46 | 18 | | 47 | 7 | | 48 | 14 | | 49 | 5 |
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| 79.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5 | | totalSentences | 100 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 76 | | matches | | 0 | "Somewhere a long way off" | | 1 | "A lot of voices." | | 2 | "Too many, for a disused" | | 3 | "Then she drew her torch," |
| | ratio | 0.053 | |
| 35.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 76 | | matches | | 0 | "She clocked him in the" | | 1 | "She'd been watching him for" | | 2 | "Her breath came short; she" | | 3 | "She swore and kept running." | | 4 | "Her boots hit a sheet" | | 5 | "It came back now like" | | 6 | "She cut between the vans." | | 7 | "She heard the metal ring" | | 8 | "He didn't even glance back." | | 9 | "She took the fence at" | | 10 | "Her palms stung where the" | | 11 | "She landed hard on the" | | 12 | "He broke right, off the" | | 13 | "He was breathing hard, one" | | 14 | "His other hand moved, and" | | 15 | "He was holding something up" | | 16 | "His voice was softer than" | | 17 | "He half-laughed, the sound miserable" | | 18 | "She took a step." | | 19 | "He didn't move, which unsettled" |
| | ratio | 0.461 | |
| 91.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 76 | | matches | | 0 | "The rain came down like" | | 1 | "Quinn ran through it with" | | 2 | "She clocked him in the" | | 3 | "A glint — a chain" | | 4 | "She'd been watching him for" | | 5 | "Her breath came short; she" | | 6 | "The radio spat static back" | | 7 | "She swore and kept running." | | 8 | "Her boots hit a sheet" | | 9 | "The worn leather strap of" | | 10 | "Military precision, her old DI" | | 11 | "It came back now like" | | 12 | "She cut between the vans." | | 13 | "The alley beyond was narrower" | | 14 | "She heard the metal ring" | | 15 | "He didn't even glance back." | | 16 | "She took the fence at" | | 17 | "Her palms stung where the" | | 18 | "She landed hard on the" | | 19 | "A bus went past grinding" |
| | ratio | 0.737 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 86.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 3 | | matches | | 0 | "He was breathing hard, one hand pressed to the medallion at his throat, as if he were steadying himself on it." | | 1 | "There was a grille set into the brickwork beside it, and the grille had been levered open, and beyond it a set of tiled steps went down into darkness that didn'…" | | 2 | "At the dark that was not quite dark, that had a flicker of green lamp-light somewhere deep in its throat." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "He half-laughed (laugh)" |
| | dialogueSentences | 20 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.25 | | effectiveRatio | 0.1 | |