| 46.15% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 2 | | adverbTags | | 0 | "Harlow said quietly [quietly]" | | 1 | "Eva said quickly [quickly]" |
| | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.2 | | effectiveRatio | 0.154 | |
| 85.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1394 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "quickly" | | 1 | "completely" | | 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) | |
| 42.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1394 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "silence" | | 1 | "chill" | | 2 | "navigated" | | 3 | "measured" | | 4 | "flicked" | | 5 | "traced" | | 6 | "weight" | | 7 | "silk" | | 8 | "intricate" | | 9 | "etched" | | 10 | "echoing" | | 11 | "shattered" | | 12 | "stomach" | | 13 | "echoed" | | 14 | "gloom" | | 15 | "stark" |
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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 | 63 | | matches | (empty) | |
| 97.51% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | 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 | 1390 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 980 | | uniqueNames | 19 | | maxNameDensity | 2.24 | | worstName | "Harlow" | | maxWindowNameDensity | 4 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | London | 1 | | Harlow | 22 | | Quinn | 1 | | Tube | 2 | | Northern | 1 | | Blitz | 1 | | Metropolitan | 1 | | Police | 1 | | Eva | 11 | | Kowalski | 1 | | Victorian | 1 | | North | 1 | | August | 1 | | Rotherhithe | 1 | | Detective | 1 | | Sergeant | 1 | | Morris | 1 | | Yard | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Blitz" | | 3 | "Police" | | 4 | "Eva" | | 5 | "Kowalski" | | 6 | "Rotherhithe" | | 7 | "Sergeant" | | 8 | "Morris" |
| | places | | 0 | "London" | | 1 | "Northern" | | 2 | "Metropolitan" | | 3 | "August" |
| | globalScore | 0.378 | | windowScore | 0.333 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "as if trying to gain purchase on solid stone" | | 1 | "sounded like a pistol shot" |
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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 | 1390 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 43.44 | | std | 22.75 | | cv | 0.524 | | sampleLengths | | 0 | 72 | | 1 | 59 | | 2 | 50 | | 3 | 104 | | 4 | 34 | | 5 | 11 | | 6 | 45 | | 7 | 37 | | 8 | 52 | | 9 | 47 | | 10 | 69 | | 11 | 8 | | 12 | 64 | | 13 | 54 | | 14 | 24 | | 15 | 38 | | 16 | 57 | | 17 | 12 | | 18 | 60 | | 19 | 25 | | 20 | 48 | | 21 | 30 | | 22 | 78 | | 23 | 7 | | 24 | 55 | | 25 | 29 | | 26 | 79 | | 27 | 22 | | 28 | 14 | | 29 | 34 | | 30 | 32 | | 31 | 40 |
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| 71.85% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 63 | | matches | | 0 | "been bricked" | | 1 | "was dressed" | | 2 | "were splayed" | | 3 | "been slashed" | | 4 | "been etched" | | 5 | "been sealed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 148 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 78 | | ratio | 0.051 | | matches | | 0 | "She tucked a loose strand of curly red hair behind her left ear—a tell Harlow had clocked within ten minutes of meeting the museum researcher." | | 1 | "He was dressed well—far too well for an urban explorer or an itinerant squatter." | | 2 | "As she took a slow step to the right, the needle tracked left, violently counter-rotating until it locked dead onto a blank brick wall at the far end of the platform—an archway that had been sealed with lime mortar nearly a century ago." | | 3 | "The metallic tang in the back of her throat, the impossible upward crawl of the blood, the violent displacement of air—she had smelled this before." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 992 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.02620967741935484 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010080645161290322 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 17.82 | | std | 9.93 | | cv | 0.557 | | sampleLengths | | 0 | 38 | | 1 | 25 | | 2 | 9 | | 3 | 27 | | 4 | 32 | | 5 | 24 | | 6 | 26 | | 7 | 13 | | 8 | 8 | | 9 | 13 | | 10 | 18 | | 11 | 19 | | 12 | 33 | | 13 | 4 | | 14 | 30 | | 15 | 11 | | 16 | 10 | | 17 | 25 | | 18 | 10 | | 19 | 11 | | 20 | 26 | | 21 | 6 | | 22 | 14 | | 23 | 12 | | 24 | 20 | | 25 | 13 | | 26 | 9 | | 27 | 25 | | 28 | 11 | | 29 | 23 | | 30 | 35 | | 31 | 6 | | 32 | 2 | | 33 | 8 | | 34 | 18 | | 35 | 14 | | 36 | 15 | | 37 | 9 | | 38 | 18 | | 39 | 36 | | 40 | 13 | | 41 | 11 | | 42 | 21 | | 43 | 17 | | 44 | 5 | | 45 | 32 | | 46 | 20 | | 47 | 12 | | 48 | 19 | | 49 | 17 |
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| 61.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.41025641025641024 | | totalSentences | 78 | | uniqueOpeners | 32 | |
| 53.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 62 | | matches | | 0 | "Instead, an intricate lattice of" |
| | ratio | 0.016 | |
| 97.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 62 | | matches | | 0 | "She reached the foot of" | | 1 | "It was twenty minutes past" | | 2 | "She ran a palm over" | | 3 | "Her worn leather satchel bulged" | | 4 | "She pushed her round glasses" | | 5 | "She walked the perimeter of" | | 6 | "She tucked a loose strand" | | 7 | "He was dressed well—far too" | | 8 | "His hands were splayed against" | | 9 | "She pointed a gloved finger" | | 10 | "She flicked her torch on," | | 11 | "She pointed to where the" | | 12 | "It hadn't run down toward" | | 13 | "It had crawled upward, defying" | | 14 | "She pulled it out into" | | 15 | "It was a small brass" | | 16 | "Her gaze leveled on Eva," | | 17 | "She had stood over the" | | 18 | "They had lied to her" |
| | ratio | 0.306 | |
| 0.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 62 | | matches | | 0 | "The cast-iron spiral staircase seemed" | | 1 | "She reached the foot of" | | 2 | "It was twenty minutes past" | | 3 | "The disused Tube station had" | | 4 | "Harlow adjusted her coat, her" | | 5 | "She ran a palm over" | | 6 | "Eva Kowalski said, falling into" | | 7 | "Eva looked miserably out of" | | 8 | "Her worn leather satchel bulged" | | 9 | "She pushed her round glasses" | | 10 | "Harlow didn't answer immediately." | | 11 | "She walked the perimeter of" | | 12 | "Harlow asked, her voice low" | | 13 | "Eva sniffed, her green eyes" | | 14 | "She tucked a loose strand" | | 15 | "Harlow corrected, kneeling on one" | | 16 | "Harlow leaned over the dead" | | 17 | "He was dressed well—far too" | | 18 | "A heavy coat of charcoal" | | 19 | "His hands were splayed against" |
| | ratio | 0.919 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Now, portable halogen rigs cast" |
| | ratio | 0.016 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "His hands were splayed against the greasy ballast, fingers curled tight as if trying to gain purchase on solid stone." | | 1 | "Instead, an intricate lattice of geometric sigils had been etched into the silvered face, surrounding an iron needle that spun with erratic, jittery spasms." | | 2 | "As she took a slow step to the right, the needle tracked left, violently counter-rotating until it locked dead onto a blank brick wall at the far end of the pla…" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Harlow asked, her voice low and raspy" | | 1 | "Harlow said, her tone absolute, carving through the damp gloom" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Harlow corrected (correct)" |
| | dialogueSentences | 26 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.125 | | effectiveRatio | 0.077 | |