| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1826 | | 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) | |
| 80.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1826 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "clandestine" | | 1 | "flicked" | | 2 | "streaming" | | 3 | "whisper" | | 4 | "magnetic" | | 5 | "weight" | | 6 | "velvet" |
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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 | 144 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 144 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 151 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1831 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 87.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 70 | | wordCount | 1772 | | uniqueNames | 28 | | maxNameDensity | 1.24 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Brewer | 1 | | Street | 2 | | Quinn | 22 | | Raven | 1 | | Nest | 3 | | Herrera | 10 | | Seville | 2 | | Saint | 1 | | Christopher | 1 | | Royal | 1 | | London | 3 | | Met | 1 | | Tottenham | 1 | | Court | 1 | | Road | 1 | | Northern | 1 | | Morris | 3 | | Euston | 1 | | August | 1 | | Town | 1 | | Camden | 3 | | High | 1 | | Tube | 2 | | Internal | 1 | | Affairs | 1 | | Tomás | 2 | | Underground | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Morris" | | 6 | "Affairs" | | 7 | "Tomás" |
| | places | | 0 | "Soho" | | 1 | "Brewer" | | 2 | "Street" | | 3 | "Nest" | | 4 | "Seville" | | 5 | "London" | | 6 | "Met" | | 7 | "Tottenham" | | 8 | "Court" | | 9 | "Road" | | 10 | "Euston" | | 11 | "August" | | 12 | "Town" | | 13 | "Camden" | | 14 | "High" |
| | globalScore | 0.879 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 106 | | 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 | 1831 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 151 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 41.61 | | std | 29.35 | | cv | 0.705 | | sampleLengths | | 0 | 78 | | 1 | 6 | | 2 | 102 | | 3 | 10 | | 4 | 119 | | 5 | 57 | | 6 | 19 | | 7 | 7 | | 8 | 49 | | 9 | 2 | | 10 | 7 | | 11 | 65 | | 12 | 41 | | 13 | 2 | | 14 | 65 | | 15 | 27 | | 16 | 34 | | 17 | 56 | | 18 | 75 | | 19 | 23 | | 20 | 38 | | 21 | 10 | | 22 | 89 | | 23 | 12 | | 24 | 48 | | 25 | 66 | | 26 | 3 | | 27 | 72 | | 28 | 55 | | 29 | 43 | | 30 | 55 | | 31 | 65 | | 32 | 44 | | 33 | 8 | | 34 | 2 | | 35 | 47 | | 36 | 3 | | 37 | 40 | | 38 | 56 | | 39 | 14 | | 40 | 42 | | 41 | 86 | | 42 | 48 | | 43 | 41 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 144 | | matches | | 0 | "was scuffed" | | 1 | "was caught" | | 2 | "was clenched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 299 | | matches | | 0 | "was bleeding" | | 1 | "was hammering" | | 2 | "was whispering" | | 3 | "was decanting" |
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| 67.17% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 151 | | ratio | 0.026 | | matches | | 0 | "He saw her through the glass and his face did something complicated — fear, guilt, warning." | | 1 | "She checked her watch without thinking — 23:41 — the old leather dark with water, and her thumb found the scuff on the strap where Morris had once grabbed her wrist and laughed, Quinn, you can't arrest a ghost." | | 2 | "Behind the steel, the hum rose — haggling, laughter, a high thin chime like glass breaking in reverse, the acrid-sweet stink of banned alchemical substances burning." | | 3 | "And in the middle of the crowd, duffel high on his shoulder, scar flashing as he pushed through, was Tomás Herrera, heading for the far tunnel where a red cross had been spray-painted over old London Underground roundels — a clinic for people who couldn't bleed in public." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1787 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 38 | | adverbRatio | 0.021264689423614997 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.004476776720761052 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 151 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 151 | | mean | 12.13 | | std | 9.67 | | cv | 0.797 | | sampleLengths | | 0 | 12 | | 1 | 27 | | 2 | 39 | | 3 | 6 | | 4 | 27 | | 5 | 23 | | 6 | 1 | | 7 | 2 | | 8 | 18 | | 9 | 13 | | 10 | 14 | | 11 | 2 | | 12 | 2 | | 13 | 10 | | 14 | 17 | | 15 | 19 | | 16 | 24 | | 17 | 12 | | 18 | 2 | | 19 | 1 | | 20 | 3 | | 21 | 24 | | 22 | 11 | | 23 | 6 | | 24 | 6 | | 25 | 37 | | 26 | 7 | | 27 | 7 | | 28 | 9 | | 29 | 10 | | 30 | 7 | | 31 | 7 | | 32 | 10 | | 33 | 3 | | 34 | 29 | | 35 | 2 | | 36 | 7 | | 37 | 26 | | 38 | 14 | | 39 | 9 | | 40 | 15 | | 41 | 1 | | 42 | 16 | | 43 | 14 | | 44 | 5 | | 45 | 6 | | 46 | 2 | | 47 | 3 | | 48 | 39 | | 49 | 11 |
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| 62.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.42 | | totalSentences | 150 | | uniqueOpeners | 63 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 130 | | matches | | 0 | "Too clean at the base" | | 1 | "Then his gaze flicked past" | | 2 | "Somewhere behind her a bottle" | | 3 | "Then he stepped through and" |
| | ratio | 0.031 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 130 | | matches | | 0 | "It hammered the awnings on" | | 1 | "She had been there three" | | 2 | "She had gone in once" | | 3 | "He carried a navy duffel" | | 4 | "His warm brown eyes snapped" | | 5 | "His mouth opened." | | 6 | "She was forty-one with eighteen" | | 7 | "Her sharp jaw was clenched" | | 8 | "He didn't stop." | | 9 | "He burst out onto a" | | 10 | "He didn't tap out." | | 11 | "He planted one hand and" | | 12 | "She had her warrant card" | | 13 | "she shouted at the startled" | | 14 | "He saw her through the" | | 15 | "She didn't need to." | | 16 | "She kept her eyes on" | | 17 | "It sagged in the middle." | | 18 | "she said, pitching her voice" | | 19 | "He held the overhead rail" |
| | ratio | 0.292 | |
| 67.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 102 | | totalSentences | 130 | | matches | | 0 | "The rain had turned Soho" | | 1 | "It hammered the awnings on" | | 2 | "Harlow Quinn stood in the" | | 3 | "She had been there three" | | 4 | "She had gone in once" | | 5 | "A hidden back room for" | | 6 | "The clique she had been" | | 7 | "The man who came out" | | 8 | "He carried a navy duffel" | | 9 | "These days he stitched up" | | 10 | "Lightning stuttered somewhere over the" | | 11 | "The Saint Christopher medallion around" | | 12 | "Knife attack, Royal London, two" | | 13 | "The file said he hadn't" | | 14 | "Quinn stepped out of the" | | 15 | "Water hit her shoulders and" | | 16 | "His warm brown eyes snapped" | | 17 | "His mouth opened." | | 18 | "Quinn breathed, and went after" | | 19 | "She was forty-one with eighteen" |
| | ratio | 0.785 | |
| 76.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 130 | | matches | | 0 | "Even from across the street" | | 1 | "Even from above Quinn saw" |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 68 | | technicalSentenceCount | 4 | | matches | | 0 | "Former NHS paramedic, struck off after he was caught administering unauthorized treatments to patients who, according to the inquiry transcript, did not officia…" | | 1 | "It dropped beside a bricked-up ventilation shaft, maybe an old staff entrance to the Tube, padlocked with a rusted gate that stood ajar." | | 2 | "A boy no older than sixteen was decanting something silver that smoked into vials while two men argued in low voices over a map that redrew itself as Quinn watc…" | | 3 | "And in the middle of the crowd, duffel high on his shoulder, scar flashing as he pushed through, was Tomás Herrera, heading for the far tunnel where a red cross…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn breathed (breathe)" | | 1 | "she shouted (shout)" |
| | dialogueSentences | 13 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.4 | | effectiveRatio | 0.308 | |