| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1714 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "slowly" |
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| 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) | |
| 82.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1714 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "weight" | | 1 | "rhythmic" | | 2 | "comfortable" | | 3 | "charm" | | 4 | "pulse" |
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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 | 136 | | matches | (empty) | |
| 79.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 136 | | filterMatches | | | hedgeMatches | | 0 | "began to" | | 1 | "happened to" | | 2 | "tried to" | | 3 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 137 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 27 | | totalWords | 1714 | | ratio | 0.016 | | matches | | 0 | "When you lose them, stop. The street will tell you where they went if you shut up long enough to listen." | | 1 | "Stress," | | 2 | "Trauma. Take the leave, Harlow." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1700 | | uniqueNames | 19 | | maxNameDensity | 0.71 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 12 | | Herrera | 7 | | Camden | 1 | | High | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Vauxhall | 1 | | Soho | 1 | | Met | 1 | | Yard | 2 | | Morris | 6 | | London | 1 | | Underground | 1 | | Tube | 1 | | Londoners | 1 | | Tomás | 2 | | Bermondsey | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Morris" | | 4 | "Tube" | | 5 | "Londoners" | | 6 | "Tomás" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "Raven" | | 4 | "Vauxhall" | | 5 | "Soho" | | 6 | "London" | | 7 | "Bermondsey" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 100 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite the colour of flame" | | 1 | "a man who was apparently selling nothing but" |
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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 | 1714 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 137 | | matches | | 0 | "watched that door" | | 1 | "liked that less" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 43.95 | | std | 34.26 | | cv | 0.78 | | sampleLengths | | 0 | 18 | | 1 | 84 | | 2 | 103 | | 3 | 14 | | 4 | 82 | | 5 | 13 | | 6 | 70 | | 7 | 2 | | 8 | 65 | | 9 | 10 | | 10 | 83 | | 11 | 16 | | 12 | 42 | | 13 | 24 | | 14 | 107 | | 15 | 20 | | 16 | 58 | | 17 | 12 | | 18 | 125 | | 19 | 22 | | 20 | 78 | | 21 | 56 | | 22 | 8 | | 23 | 22 | | 24 | 123 | | 25 | 8 | | 26 | 62 | | 27 | 14 | | 28 | 53 | | 29 | 14 | | 30 | 57 | | 31 | 55 | | 32 | 18 | | 33 | 51 | | 34 | 49 | | 35 | 16 | | 36 | 9 | | 37 | 8 | | 38 | 43 |
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| 89.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 136 | | matches | | 0 | "being followed" | | 1 | "been chiselled" | | 2 | "was caught" | | 3 | "got switched" | | 4 | "was carved" | | 5 | "were, lingered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 268 | | matches | | 0 | "was weighing" | | 1 | "was apparently selling" | | 2 | "was going" | | 3 | "were holding" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 137 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1704 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 55 | | adverbRatio | 0.03227699530516432 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.007042253521126761 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 137 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 137 | | mean | 12.51 | | std | 9.09 | | cv | 0.727 | | sampleLengths | | 0 | 18 | | 1 | 10 | | 2 | 12 | | 3 | 20 | | 4 | 9 | | 5 | 5 | | 6 | 15 | | 7 | 13 | | 8 | 27 | | 9 | 24 | | 10 | 29 | | 11 | 23 | | 12 | 4 | | 13 | 10 | | 14 | 9 | | 15 | 25 | | 16 | 18 | | 17 | 1 | | 18 | 4 | | 19 | 25 | | 20 | 13 | | 21 | 23 | | 22 | 9 | | 23 | 5 | | 24 | 25 | | 25 | 1 | | 26 | 4 | | 27 | 3 | | 28 | 2 | | 29 | 11 | | 30 | 6 | | 31 | 5 | | 32 | 43 | | 33 | 6 | | 34 | 4 | | 35 | 21 | | 36 | 13 | | 37 | 6 | | 38 | 30 | | 39 | 4 | | 40 | 9 | | 41 | 2 | | 42 | 9 | | 43 | 5 | | 44 | 35 | | 45 | 7 | | 46 | 5 | | 47 | 15 | | 48 | 4 | | 49 | 8 |
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| 69.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.4666666666666667 | | totalSentences | 135 | | uniqueOpeners | 63 | |
| 27.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 122 | | matches | | 0 | "Then, slowly, the doorman stepped" |
| | ratio | 0.008 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 122 | | matches | | 0 | "She kept her eyes on" | | 1 | "He hadn't looked back once" | | 2 | "She'd picked him up outside" | | 3 | "She had watched that door" | | 4 | "She'd left the car." | | 5 | "Her breath came even." | | 6 | "She took the corner wide," | | 7 | "She had learned that from" | | 8 | "It stood a hand's width" | | 9 | "She knew the Tube map" | | 10 | "She did not know of" | | 11 | "She pulled the grille open." | | 12 | "It swung without a sound," | | 13 | "She took out her pocket" | | 14 | "He was very tall and" | | 15 | "It was simply difficult to" | | 16 | "He stopped at a stall" | | 17 | "She should go back up." | | 18 | "She would come back tomorrow" | | 19 | "She had taken the leave." |
| | ratio | 0.287 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 122 | | matches | | 0 | "The rain had found its" | | 1 | "She kept her eyes on" | | 2 | "Tomás Herrera moved like someone" | | 3 | "He hadn't looked back once" | | 4 | "That was what bothered her." | | 5 | "A man who didn't know" | | 6 | "A man who did know" | | 7 | "She'd picked him up outside" | | 8 | "She had watched that door" | | 9 | "Tonight Herrera had come out" | | 10 | "She'd left the car." | | 11 | "The canvas awnings sagged under" | | 12 | "Quinn checked her watch out" | | 13 | "Her breath came even." | | 14 | "Herrera turned down a service" | | 15 | "She took the corner wide," | | 16 | "Nobody at the Yard knew" | | 17 | "Nobody would have approved it." | | 18 | "The lane ran fifty yards" | | 19 | "A stack of pallets." |
| | ratio | 0.68 | |
| 81.97% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 122 | | matches | | 0 | "Now he cut left past" | | 1 | "Even at this distance Quinn" |
| | ratio | 0.016 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 75 | | technicalSentenceCount | 6 | | matches | | 0 | "She'd picked him up outside the Raven's Nest at a quarter past eleven, under the green neon that turned the rain above the doorway into falling glass." | | 1 | "The lane ran fifty yards to a chain-link fence and a railway embankment, lit by a single sodium lamp that buzzed like a trapped wasp." | | 2 | "She knew the Tube map the way most Londoners knew it, which was to say she knew the dead stations were down there somewhere, sealed and forgotten, the subject o…" | | 3 | "It was simply difficult to fix on, as though her eyes kept sliding off it toward something more comfortable." | | 4 | "A cluster of hooded figures crowded around a man who was apparently selling nothing but folded scraps of paper, and paying for them in something that glinted." | | 5 | "She walked toward him with her spine straight and her face set, the way she'd walked into a hundred rooms full of men who wanted her gone, and held out her palm…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |