| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1050 | | 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) | |
| 61.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1050 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "traced" | | 1 | "charm" | | 2 | "facade" | | 3 | "structure" | | 4 | "glint" |
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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 | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 10 | | totalWords | 1057 | | ratio | 0.009 | | matches | | 0 | "Time's the only thing they can't take off you, Harlow." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 819 | | uniqueNames | 20 | | maxNameDensity | 0.61 | | worstName | "Herrera" | | maxWindowNameDensity | 2 | | worstWindowName | "Street" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Detective | 1 | | Harlow | 2 | | Quinn | 3 | | Wardour | 1 | | Street | 4 | | Chapel | 1 | | Court | 1 | | Road | 1 | | Warren | 1 | | High | 1 | | South | 1 | | Kentish | 1 | | Town | 1 | | Herrera | 5 | | Morris | 2 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Harlow" | | 3 | "Quinn" | | 4 | "Herrera" | | 5 | "Morris" | | 6 | "Saint" | | 7 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "Wardour" | | 2 | "Street" | | 3 | "Chapel" | | 4 | "Court" | | 5 | "Road" | | 6 | "Warren" | | 7 | "High" | | 8 | "South" | | 9 | "Kentish" | | 10 | "Town" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 41 | | 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 | 1057 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 73 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 24.58 | | std | 20.29 | | cv | 0.825 | | sampleLengths | | 0 | 59 | | 1 | 40 | | 2 | 4 | | 3 | 2 | | 4 | 58 | | 5 | 34 | | 6 | 6 | | 7 | 11 | | 8 | 63 | | 9 | 73 | | 10 | 15 | | 11 | 21 | | 12 | 7 | | 13 | 29 | | 14 | 7 | | 15 | 21 | | 16 | 12 | | 17 | 2 | | 18 | 33 | | 19 | 38 | | 20 | 32 | | 21 | 34 | | 22 | 17 | | 23 | 19 | | 24 | 16 | | 25 | 44 | | 26 | 43 | | 27 | 6 | | 28 | 12 | | 29 | 67 | | 30 | 29 | | 31 | 1 | | 32 | 23 | | 33 | 12 | | 34 | 2 | | 35 | 14 | | 36 | 1 | | 37 | 58 | | 38 | 53 | | 39 | 11 | | 40 | 10 | | 41 | 3 | | 42 | 15 |
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| 91.50% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 51 | | matches | | 0 | "was shuttered" | | 1 | "been stripped" |
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| 40.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 125 | | matches | | 0 | "was already crossing" | | 1 | "was panting" | | 2 | "was stitching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 73 | | ratio | 0.068 | | matches | | 0 | "He vaulted a skip, and something swung free of his neck and snapped — a white charm on a leather cord, hitting the pavement, bouncing once." | | 1 | "He cut off the main drag, took a side road at a sprint, and it dead-ended at a boarded-up frontage she recognized from the file — the old South Kentish Town station, closed before her father was born, its tiled name still visible under a century of grime." | | 2 | "Beyond it, a service stairwell dropped into dark, the air rising up warm and wet and wrong — tallow and river mud and something sweet underneath, like fruit going off." | | 3 | "The passage beyond breathed heat at her, and the sound reached her next — a crowd, hundreds strong, murmuring under the earth." | | 4 | "Twenty meters in, past a stall hung with jars of teeth, a man in a bloodstained apron was stitching a wound in a boy's shoulder by candlelight — olive skin, curly dark hair, a Saint Christopher medallion swinging with each pass of the needle." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 818 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.023227383863080684 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003667481662591687 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 14.48 | | std | 11.51 | | cv | 0.795 | | sampleLengths | | 0 | 15 | | 1 | 44 | | 2 | 2 | | 3 | 8 | | 4 | 30 | | 5 | 4 | | 6 | 2 | | 7 | 18 | | 8 | 26 | | 9 | 14 | | 10 | 3 | | 11 | 3 | | 12 | 9 | | 13 | 19 | | 14 | 6 | | 15 | 11 | | 16 | 23 | | 17 | 8 | | 18 | 32 | | 19 | 25 | | 20 | 48 | | 21 | 7 | | 22 | 8 | | 23 | 15 | | 24 | 6 | | 25 | 7 | | 26 | 29 | | 27 | 7 | | 28 | 21 | | 29 | 12 | | 30 | 2 | | 31 | 4 | | 32 | 29 | | 33 | 3 | | 34 | 35 | | 35 | 32 | | 36 | 6 | | 37 | 7 | | 38 | 21 | | 39 | 17 | | 40 | 19 | | 41 | 16 | | 42 | 5 | | 43 | 2 | | 44 | 5 | | 45 | 32 | | 46 | 9 | | 47 | 34 | | 48 | 6 | | 49 | 12 |
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| 91.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.547945205479452 | | totalSentences | 73 | | uniqueOpeners | 40 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 47 | | matches | | 0 | "Then he stepped backward into" |
| | ratio | 0.021 | |
| 24.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 47 | | matches | | 0 | "She gave chase up Wardour" | | 1 | "He vaulted a skip, and" | | 2 | "She stamped her palm over" | | 3 | "He was younger, faster, but" | | 4 | "He cut left, through a" | | 5 | "Her shoulder screamed where it" | | 6 | "He came out onto the" | | 7 | "He cut off the main" | | 8 | "It swung on a hinge" | | 9 | "He was panting, the duffel" | | 10 | "His eyes dropped to her" | | 11 | "He looked up, then." | | 12 | "She looked at the plywood." | | 13 | "Her thumb found the worn" | | 14 | "She clicked the radio twice" | | 15 | "Her torch beam found old" | | 16 | "His eyes were the color" | | 17 | "She set the white charm" | | 18 | "It still carried a smear" | | 19 | "He bit the charm, nodded," |
| | ratio | 0.489 | |
| 34.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 47 | | matches | | 0 | "Rain had been falling over" | | 1 | "The Raven's Nest's green sign" | | 2 | "The bar's front door hadn't" | | 3 | "She gave chase up Wardour" | | 4 | "He vaulted a skip, and" | | 5 | "She stamped her palm over" | | 6 | "Tottenham Court Road." | | 7 | "Buses hissed past, throwing up" | | 8 | "He was younger, faster, but" | | 9 | "He cut left, through a" | | 10 | "Her shoulder screamed where it" | | 11 | "He came out onto the" | | 12 | "Camden High Street was shuttered" | | 13 | "He cut off the main" | | 14 | "Herrera wrenched at a sheet" | | 15 | "It swung on a hinge" | | 16 | "He was panting, the duffel" | | 17 | "His eyes dropped to her" | | 18 | "He looked up, then." | | 19 | "The clouds had torn open," |
| | ratio | 0.851 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 3 | | matches | | 0 | "Quinn stood at the sealed frontage, rain running off her chin, her radio crackling against her shoulder." | | 1 | "Her torch beam found old tile, then newer wood, then a turnstile that had no business standing upright in a station that had been stripped to the studs in 1924." | | 2 | "Her torch showed the tunnel opening ahead into lantern light, stalls and awnings and the glint of things on sale that had no price tags." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "He was panting, the duffel still clutched to his chest" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "He was panting (be pant)" |
| | dialogueSentences | 26 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 0.333 | | effectiveRatio | 0.077 | |