| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 11 | | tagDensity | 0.636 | | leniency | 1 | | rawRatio | 0.143 | | effectiveRatio | 0.143 | |
| 96.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1491 | | totalAiIsmAdverbs | 1 | | 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) | |
| 69.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1491 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flicked" | | 1 | "glint" | | 2 | "flickered" | | 3 | "silence" | | 4 | "standard" | | 5 | "could feel" | | 6 | "weight" | | 7 | "clandestine" | | 8 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 130 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 130 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 133 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1497 | | 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 | 52 | | wordCount | 1416 | | uniqueNames | 22 | | maxNameDensity | 0.85 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 2 | | Quinn | 12 | | Raven | 1 | | Nest | 2 | | Herrera | 7 | | Silas | 4 | | Greek | 1 | | Street | 1 | | Met | 2 | | London | 2 | | Saint | 1 | | Christopher | 1 | | Underground | 2 | | Council | 1 | | Morris | 2 | | Tube | 1 | | Camden | 2 | | Veil | 1 | | Market | 1 | | Spanish | 3 | | Polish | 1 | | Tomás | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Nest" | | 2 | "Herrera" | | 3 | "Silas" | | 4 | "Met" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Morris" | | 8 | "Market" | | 9 | "Tomás" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "Greek" | | 3 | "Street" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like teeth strung on wire" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.668 | | wordCount | 1497 | | matches | | 0 | "not from exertion but from the drop in temperature" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 133 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 28.25 | | std | 22.45 | | cv | 0.795 | | sampleLengths | | 0 | 7 | | 1 | 59 | | 2 | 40 | | 3 | 5 | | 4 | 27 | | 5 | 5 | | 6 | 102 | | 7 | 11 | | 8 | 32 | | 9 | 71 | | 10 | 22 | | 11 | 11 | | 12 | 53 | | 13 | 11 | | 14 | 40 | | 15 | 36 | | 16 | 5 | | 17 | 10 | | 18 | 45 | | 19 | 87 | | 20 | 14 | | 21 | 15 | | 22 | 17 | | 23 | 17 | | 24 | 41 | | 25 | 54 | | 26 | 35 | | 27 | 3 | | 28 | 66 | | 29 | 13 | | 30 | 43 | | 31 | 10 | | 32 | 4 | | 33 | 10 | | 34 | 33 | | 35 | 51 | | 36 | 27 | | 37 | 10 | | 38 | 8 | | 39 | 42 | | 40 | 51 | | 41 | 53 | | 42 | 4 | | 43 | 8 | | 44 | 12 | | 45 | 20 | | 46 | 12 | | 47 | 41 | | 48 | 10 | | 49 | 31 |
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| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 130 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 9 | | totalVerbs | 248 | | matches | | 0 | "wasn't heading" | | 1 | "was heading" | | 2 | "were trembling" | | 3 | "was selling" | | 4 | "was arguing" | | 5 | "was shaking" | | 6 | "was standing" | | 7 | "was committing" | | 8 | "was warning" |
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| 35.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 133 | | ratio | 0.038 | | matches | | 0 | "Her left wrist flicked, habit — the worn leather watch on it showed 23:47, the second hand ticking steady." | | 1 | "He twisted, and she saw the glint at his neck — a Saint Christopher medallion bouncing against his chest as he ran." | | 2 | "The stencil on the concrete read KENTISH TOWN - NO ENTRY - LONDON TRANSPORT." | | 3 | "The air smelled wrong — old iron, ozone, incense, wet earth." | | 4 | "The murmur of bargaining rose and fell in languages Quinn didn't know, and a few she did — Spanish, Polish, something that clicked." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1423 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.025298664792691498 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004216444132115249 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 133 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 133 | | mean | 11.26 | | std | 8.01 | | cv | 0.712 | | sampleLengths | | 0 | 7 | | 1 | 21 | | 2 | 21 | | 3 | 9 | | 4 | 8 | | 5 | 2 | | 6 | 1 | | 7 | 15 | | 8 | 6 | | 9 | 16 | | 10 | 5 | | 11 | 22 | | 12 | 1 | | 13 | 1 | | 14 | 3 | | 15 | 3 | | 16 | 2 | | 17 | 13 | | 18 | 9 | | 19 | 25 | | 20 | 21 | | 21 | 19 | | 22 | 15 | | 23 | 7 | | 24 | 4 | | 25 | 4 | | 26 | 15 | | 27 | 13 | | 28 | 16 | | 29 | 35 | | 30 | 4 | | 31 | 16 | | 32 | 22 | | 33 | 7 | | 34 | 4 | | 35 | 3 | | 36 | 9 | | 37 | 23 | | 38 | 18 | | 39 | 11 | | 40 | 4 | | 41 | 22 | | 42 | 14 | | 43 | 23 | | 44 | 1 | | 45 | 6 | | 46 | 6 | | 47 | 5 | | 48 | 10 | | 49 | 8 |
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| 53.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.39097744360902253 | | totalSentences | 133 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 120 | | matches | | 0 | "Then he ran." | | 1 | "Then he skidded at the" | | 2 | "Somewhere further down, a faint," | | 3 | "Then she heard voices from" | | 4 | "Then he saw her at" |
| | ratio | 0.042 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 120 | | matches | | 0 | "She knew his file by" | | 1 | "He saw her seeing him." | | 2 | "His warm brown eyes went" | | 3 | "Her boots hit the wet" | | 4 | "She was but lighter, faster" | | 5 | "He cut hard left, knocking" | | 6 | "Her left wrist flicked, habit" | | 7 | "She didn't expect compliance." | | 8 | "He didn't give it." | | 9 | "He vaulted a low wall" | | 10 | "She'd seen the photo." | | 11 | "He twisted, and she saw" | | 12 | "He wasn't heading for the" | | 13 | "He was heading down." | | 14 | "He was moving north too" | | 15 | "He cut through side streets," | | 16 | "He didn't look back." | | 17 | "He ducked under a chained-off" | | 18 | "She didn't know what it" | | 19 | "She knew it wasn't Council" |
| | ratio | 0.4 | |
| 64.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 95 | | totalSentences | 120 | | matches | | 0 | "The rain made Soho slick" | | 1 | "Harlow Quinn clocked him outside" | | 2 | "The light threw his face" | | 3 | "Olive skin gone pale under" | | 4 | "She knew his file by" | | 5 | "He saw her seeing him." | | 6 | "His warm brown eyes went" | | 7 | "Quinn didn't shout." | | 8 | "Her boots hit the wet" | | 9 | "Rain drilled her shoulders, soaking" | | 10 | "She was but lighter, faster" | | 11 | "He cut hard left, knocking" | | 12 | "Her left wrist flicked, habit" | | 13 | "The words were a formality" | | 14 | "She didn't expect compliance." | | 15 | "He didn't give it." | | 16 | "He vaulted a low wall" | | 17 | "Quinn followed, her brown eyes" | | 18 | "She'd seen the photo." | | 19 | "Seville to London was a" |
| | ratio | 0.792 | |
| 83.33% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 120 | | matches | | 0 | "If she lost him now," | | 1 | "If she followed further, she" |
| | ratio | 0.017 | |
| 70.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 6 | | matches | | 0 | "He cut through side streets, through puddles that exploded under his shoes, through a construction hoarding where the scaffolding forced them single file." | | 1 | "God, stalls built out of repurposed Underground benches and black-market scaffolding, covered in canvas that dripped with condensation." | | 2 | "A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information." | | 3 | "The murmur of bargaining rose and fell in languages Quinn didn't know, and a few she did — Spanish, Polish, something that clicked." | | 4 | "The thing nearest her, something that was almost a child with eyes like wet opals, hissed and slid under a table." | | 5 | "She was standing in a pocket of the city that didn't exist, five o'clock shadow soaked, coat dripping onto tiles that hadn't seen rain in forty years, and she w…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 59.09% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 11 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.25 | | effectiveRatio | 0.182 | |