| 46.15% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 2 | | adverbTags | | 0 | "he shouted back [back]" | | 1 | "He was breathing hard [hard]" |
| | dialogueSentences | 26 | | tagDensity | 0.269 | | leniency | 0.538 | | rawRatio | 0.286 | | effectiveRatio | 0.154 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1250 | | 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) | |
| 88.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1250 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "electric" | | 1 | "weight" | | 2 | "velvet" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1257 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1112 | | uniqueNames | 21 | | maxNameDensity | 0.9 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Old | 1 | | Compton | 1 | | Street | 3 | | Quinn | 10 | | Raven | 1 | | Nest | 1 | | Tomás | 1 | | Herrera | 5 | | Dean | 1 | | Oxford | 1 | | Saturday | 1 | | Road | 1 | | Underground | 1 | | Eighteen | 2 | | Morris | 1 | | Twelve | 1 | | Bovril | 1 | | Barbour | 1 | | Twenty | 2 | | Rain | 3 | | You | 4 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Morris" | | 5 | "Twelve" | | 6 | "Bovril" | | 7 | "You" |
| | places | | 0 | "Old" | | 1 | "Compton" | | 2 | "Street" | | 3 | "Dean" | | 4 | "Oxford" | | 5 | "Road" | | 6 | "Barbour" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | 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 | 1257 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 114 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 21.67 | | std | 20.47 | | cv | 0.945 | | sampleLengths | | 0 | 40 | | 1 | 11 | | 2 | 23 | | 3 | 5 | | 4 | 1 | | 5 | 21 | | 6 | 8 | | 7 | 2 | | 8 | 49 | | 9 | 2 | | 10 | 22 | | 11 | 6 | | 12 | 57 | | 13 | 15 | | 14 | 17 | | 15 | 16 | | 16 | 14 | | 17 | 2 | | 18 | 15 | | 19 | 73 | | 20 | 28 | | 21 | 2 | | 22 | 8 | | 23 | 30 | | 24 | 16 | | 25 | 16 | | 26 | 5 | | 27 | 4 | | 28 | 10 | | 29 | 30 | | 30 | 44 | | 31 | 51 | | 32 | 8 | | 33 | 4 | | 34 | 51 | | 35 | 15 | | 36 | 48 | | 37 | 11 | | 38 | 5 | | 39 | 42 | | 40 | 21 | | 41 | 27 | | 42 | 77 | | 43 | 10 | | 44 | 7 | | 45 | 52 | | 46 | 6 | | 47 | 86 | | 48 | 4 | | 49 | 38 |
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| 94.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 96 | | matches | | 0 | "was gone " | | 1 | "been painted" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 173 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 114 | | ratio | 0.061 | | matches | | 0 | "That was the tell — a man with nothing to hide turns when a stranger says his name." | | 1 | "He knocked a sandwich board flat and she hurdled it, one hand on a lamppost to swing the corner, and for four seconds she had him — close enough to see the satchel strap cutting into his shoulder, close enough to see the medallion swinging loose at his throat, silver flashing under the streetlight." | | 2 | "Then he was gone — sideways, through a gap in the hoarding of a building site, and Quinn went after him with her lungs burning and her hair plastered flat." | | 3 | "He led her to a hoarding of blue plywood outside a boarded shopfront — CAMDEN ROAD DISUSED STATION, ONE-WAY DEMOLITION NOTICE, all of it papered over with flyers for club nights that didn't exist." | | 4 | "Someone had strung lamps along the ceiling — not electric." | | 5 | "Warm air, and under the damp a smell she couldn't file — cardamom, singed hair, meltwater." | | 6 | "Ran a thumb across the spiral, and something in his face shifted — not surprise." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1107 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.02077687443541102 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0009033423667570009 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 11.03 | | std | 10.89 | | cv | 0.988 | | sampleLengths | | 0 | 40 | | 1 | 3 | | 2 | 5 | | 3 | 3 | | 4 | 23 | | 5 | 5 | | 6 | 1 | | 7 | 3 | | 8 | 18 | | 9 | 8 | | 10 | 2 | | 11 | 9 | | 12 | 24 | | 13 | 16 | | 14 | 2 | | 15 | 19 | | 16 | 3 | | 17 | 6 | | 18 | 3 | | 19 | 54 | | 20 | 15 | | 21 | 13 | | 22 | 4 | | 23 | 16 | | 24 | 2 | | 25 | 4 | | 26 | 8 | | 27 | 2 | | 28 | 7 | | 29 | 8 | | 30 | 4 | | 31 | 9 | | 32 | 13 | | 33 | 16 | | 34 | 1 | | 35 | 16 | | 36 | 14 | | 37 | 22 | | 38 | 6 | | 39 | 2 | | 40 | 8 | | 41 | 16 | | 42 | 14 | | 43 | 16 | | 44 | 4 | | 45 | 12 | | 46 | 5 | | 47 | 4 | | 48 | 4 | | 49 | 6 |
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| 70.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.4824561403508772 | | totalSentences | 114 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 81 | | matches | | 0 | "Then the door swung and" | | 1 | "Then a black cab braked" | | 2 | "Then he was gone —" |
| | ratio | 0.037 | |
| 76.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 81 | | matches | | 0 | "He didn't turn." | | 1 | "She went after him, water" | | 2 | "he shouted back, and his" | | 3 | "He didn't answer." | | 4 | "He knocked a sandwich board" | | 5 | "She shoved it in her" | | 6 | "He knew the city." | | 7 | "He didn't run like a" | | 8 | "He ran like a man" | | 9 | "She got the wall behind" | | 10 | "He was breathing hard, one" | | 11 | "He almost smiled" | | 12 | "He crossed against the traffic," | | 13 | "He turned off the high" | | 14 | "He led her to a" | | 15 | "Her hand went to the" | | 16 | "she said to nobody" | | 17 | "She had a protocol for" | | 18 | "You did not pursue a" | | 19 | "You held the exit." |
| | ratio | 0.358 | |
| 89.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 81 | | matches | | 0 | "Rain came down like it" | | 1 | "The Raven's Nest." | | 2 | "Quinn stepped into the rain." | | 3 | "He didn't turn." | | 4 | "That was the tell —" | | 5 | "She went after him, water" | | 6 | "Herrera cut left into Dean" | | 7 | "he shouted back, and his" | | 8 | "He didn't answer." | | 9 | "He knocked a sandwich board" | | 10 | "Herrera hit Oxford Street and" | | 11 | "Quinn keyed her radio." | | 12 | "Something else, a sound like" | | 13 | "The radio went dead in" | | 14 | "She shoved it in her" | | 15 | "He knew the city." | | 16 | "That was the thing that" | | 17 | "He didn't run like a" | | 18 | "He ran like a man" | | 19 | "A service alley behind a" |
| | ratio | 0.741 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 3 | | matches | | 0 | "He led her to a hoarding of blue plywood outside a boarded shopfront — CAMDEN ROAD DISUSED STATION, ONE-WAY DEMOLITION NOTICE, all of it papered over with flyer…" | | 1 | "The tiles gave way to a lower landing where an old advertisement for Bovril had been painted over with a single word in a script that hurt to look at directly, …" | | 2 | "A man in a butcher's apron holding a cage that shook." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "he shouted back (shout)" | | 1 | "He was breathing hard (be breathe)" |
| | dialogueSentences | 26 | | tagDensity | 0.192 | | leniency | 0.385 | | rawRatio | 0.4 | | effectiveRatio | 0.154 | |