| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1381 | | 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) | |
| 71.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1381 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "measured" | | 1 | "fractured" | | 2 | "silence" | | 3 | "mechanical" | | 4 | "weight" | | 5 | "pulse" | | 6 | "familiar" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 90 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1376 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1374 | | uniqueNames | 17 | | maxNameDensity | 0.66 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 9 | | Metropolitan | 1 | | Police | 1 | | Tomás | 2 | | Herrera | 8 | | Camden | 1 | | High | 1 | | Street | 1 | | Saint | 2 | | Christopher | 2 | | London | 1 | | Morris | 2 | | Tube | 1 | | Control | 1 | | Northern | 1 | | Line | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Police" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Morris" | | 8 | "Control" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "London" | | 4 | "Northern" |
| | globalScore | 1 | | windowScore | 1 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite human, or perhaps only human after a long conversation with something else—drifted up the stone steps" | | 1 | "not quite pitched right for a human throat" |
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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 | 1376 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 90 | | matches | | |
| 75.23% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 80.94 | | std | 33.45 | | cv | 0.413 | | sampleLengths | | 0 | 110 | | 1 | 109 | | 2 | 50 | | 3 | 131 | | 4 | 102 | | 5 | 62 | | 6 | 83 | | 7 | 108 | | 8 | 85 | | 9 | 45 | | 10 | 12 | | 11 | 84 | | 12 | 138 | | 13 | 69 | | 14 | 83 | | 15 | 78 | | 16 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 90 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 229 | | matches | | 0 | "was thinning" | | 1 | "was watching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 3 | | flaggedSentences | 7 | | totalSentences | 90 | | ratio | 0.078 | | matches | | 0 | "Neon from the all-night kebab shop bled pink and green across the pavement; every reflection fractured under her boots." | | 1 | "Beyond it yawed the black mouth of a disused Tube stairwell, its tiles scabbed with decades of grime and <!-- something darker." | | 2 | "Voices—not quite human, or perhaps only human after a long conversation with something else—drifted up the stone steps." | | 3 | "People—or things wearing people-shapes—moved between the stalls with the easy confidence of those who belonged in the dark." | | 4 | "A vendor with too many joints in his fingers held up a string of human teeth filed into points; the nearest shopper laughed, the laugh not quite pitched right for a human throat." | | 5 | "He passed something across—another of those pale tokens—and received a small brass key in return." | | 6 | "The rain soaked coat was heavy now, but she welcomed the weight; it kept her movements silent." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1389 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.032397408207343416 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.005759539236861051 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 15.29 | | std | 9.55 | | cv | 0.625 | | sampleLengths | | 0 | 15 | | 1 | 37 | | 2 | 16 | | 3 | 21 | | 4 | 2 | | 5 | 19 | | 6 | 41 | | 7 | 9 | | 8 | 11 | | 9 | 26 | | 10 | 22 | | 11 | 8 | | 12 | 9 | | 13 | 12 | | 14 | 14 | | 15 | 4 | | 16 | 3 | | 17 | 20 | | 18 | 12 | | 19 | 5 | | 20 | 7 | | 21 | 19 | | 22 | 6 | | 23 | 3 | | 24 | 16 | | 25 | 9 | | 26 | 19 | | 27 | 15 | | 28 | 14 | | 29 | 4 | | 30 | 24 | | 31 | 17 | | 32 | 12 | | 33 | 31 | | 34 | 13 | | 35 | 9 | | 36 | 22 | | 37 | 4 | | 38 | 14 | | 39 | 10 | | 40 | 5 | | 41 | 7 | | 42 | 6 | | 43 | 22 | | 44 | 15 | | 45 | 18 | | 46 | 5 | | 47 | 3 | | 48 | 1 | | 49 | 1 |
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| 67.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4222222222222222 | | totalSentences | 90 | | uniqueOpeners | 38 | |
| 76.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 87 | | matches | | 0 | "Somewhere below, a generator coughed" | | 1 | "Then she left the wall" |
| | ratio | 0.023 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 87 | | matches | | 0 | "She did not need the" | | 1 | "His olive skin gleamed under" | | 2 | "She cleared the railing one-handed," | | 3 | "Her brown eyes stayed locked" | | 4 | "Her voice cracked against the" | | 5 | "He did not freeze." | | 6 | "He never did." | | 7 | "She filed it away and" | | 8 | "She ignored it." | | 9 | "She had lost partners and" | | 10 | "He cut right again, down" | | 11 | "He yanked the grille wider," | | 12 | "She tasted copper and old" | | 13 | "She should call it in." | | 14 | "They would stamp around, frighten" | | 15 | "Her fingers found the cold" | | 16 | "She thought of Morris’s empty" | | 17 | "Her boots found worn edges" | | 18 | "She counted heartbeats instead of" | | 19 | "He passed something across—another of" |
| | ratio | 0.276 | |
| 40.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 87 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn cut through" | | 2 | "Water streamed from the short" | | 3 | "The worn leather strap of" | | 4 | "She did not need the" | | 5 | "His olive skin gleamed under" | | 6 | "Rain had plastered his short" | | 7 | "The Saint Christopher medallion around" | | 8 | "Quinn saw the long pale" | | 9 | "She cleared the railing one-handed," | | 10 | "The underpass smelled of wet" | | 11 | "Her brown eyes stayed locked" | | 12 | "Her voice cracked against the" | | 13 | "He did not freeze." | | 14 | "He never did." | | 15 | "Herrera exploded out the far" | | 16 | "Quinn followed, shoulder clipping a" | | 17 | "Pain flared, bright and useful." | | 18 | "She filed it away and" | | 19 | "Neon from the all-night kebab" |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 70.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 6 | | matches | | 0 | "Detective Harlow Quinn cut through it with the same measured stride she had carried through eighteen years of Metropolitan Police work, boots striking the pavem…" | | 1 | "Ahead of her, no more than thirty metres and losing ground slower than he should have for a man half her age, Tomás Herrera vaulted a low iron railing and dropp…" | | 2 | "Herrera slipped between two parked cars and vaulted a chain-link fence that bordered a construction pit." | | 3 | "The radio mic clipped to her coat felt heavy with the knowledge that Control would send a van full of uniforms who had never stood over an unexplained body and …" | | 4 | "The same precision also made her catalogue the alternative: letting a man she suspected of fencing enchanted goods and worse simply disappear into the folds of …" | | 5 | "Herrera was already halfway down the left-hand platform, speaking low and rapid to a woman whose skin had the faint pearlescent sheen of something that had spen…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |