| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1289 | | 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) | |
| 14.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1289 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "fractured" | | 1 | "rhythmic" | | 2 | "pulse" | | 3 | "navigating" | | 4 | "tapestry" | | 5 | "weight" | | 6 | "glistening" | | 7 | "echoed" | | 8 | "silence" | | 9 | "footsteps" | | 10 | "scanned" | | 11 | "raced" | | 12 | "etched" | | 13 | "familiar" | | 14 | "echoing" | | 15 | "predictable" | | 16 | "maw" | | 17 | "warmth" | | 18 | "chilled" | | 19 | "whisper" |
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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 | 113 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 113 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 7 | | totalWords | 1287 | | ratio | 0.005 | | matches | | 0 | "Unit 4, disturbance on Charing Cross Road…" |
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| 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 | 42 | | wordCount | 1279 | | uniqueNames | 14 | | maxNameDensity | 0.78 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 3 | | Quinn | 10 | | Raven | 2 | | Nest | 2 | | Tomás | 1 | | Herrera | 8 | | Charing | 1 | | Cross | 1 | | Morris | 5 | | London | 2 | | Veil | 2 | | Market | 2 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "Charing" | | 2 | "Cross" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 5.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 4 | | matches | | 0 | "quite untangle" | | 1 | "seemed anachronistic" | | 2 | "quite make out" | | 3 | "looked like it hadn’t opened in decades" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 3.108 | | wordCount | 1287 | | matches | | 0 | "not with a key, but with a small, pale object she couldn’t quite make out" | | 1 | "not a mark on him, but his eyes wide with a terror" | | 2 | "not a shaft of stairs, but a descending tunnel" | | 3 | "not a crowd, but a multitude of whispers, layered" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 113 | | matches | | |
| 58.97% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 64.35 | | std | 22.93 | | cv | 0.356 | | sampleLengths | | 0 | 92 | | 1 | 114 | | 2 | 61 | | 3 | 77 | | 4 | 57 | | 5 | 59 | | 6 | 16 | | 7 | 80 | | 8 | 41 | | 9 | 88 | | 10 | 46 | | 11 | 73 | | 12 | 50 | | 13 | 81 | | 14 | 52 | | 15 | 64 | | 16 | 23 | | 17 | 59 | | 18 | 66 | | 19 | 88 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 13.78% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 179 | | matches | | 0 | "was navigating" | | 1 | "wasn’t just running" | | 2 | "was reminding" | | 3 | "were finding" | | 4 | "was crossing" |
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| 41.72% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 113 | | ratio | 0.035 | | matches | | 0 | "He wasn’t just running; he was navigating." | | 1 | "She scanned the area around the lock—no keyhole, no keypad, just a smooth, worn plate where Herrera had pressed the object." | | 2 | "On one side was the familiar, grimy world of London crime—drug deals, theft, violence she could understand and catalogue." | | 3 | "The air that breathed out was different—cool and dry, smelling of dust, ozone, and something else, something sweet and metallic, like old blood and burnt sugar." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1291 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.027885360185902403 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.009295120061967466 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 11.39 | | std | 8.95 | | cv | 0.786 | | sampleLengths | | 0 | 17 | | 1 | 32 | | 2 | 32 | | 3 | 7 | | 4 | 4 | | 5 | 25 | | 6 | 15 | | 7 | 27 | | 8 | 2 | | 9 | 2 | | 10 | 21 | | 11 | 8 | | 12 | 14 | | 13 | 15 | | 14 | 18 | | 15 | 9 | | 16 | 5 | | 17 | 14 | | 18 | 4 | | 19 | 21 | | 20 | 4 | | 21 | 9 | | 22 | 19 | | 23 | 20 | | 24 | 21 | | 25 | 22 | | 26 | 14 | | 27 | 20 | | 28 | 9 | | 29 | 20 | | 30 | 1 | | 31 | 9 | | 32 | 9 | | 33 | 7 | | 34 | 4 | | 35 | 8 | | 36 | 1 | | 37 | 7 | | 38 | 12 | | 39 | 4 | | 40 | 3 | | 41 | 1 | | 42 | 21 | | 43 | 3 | | 44 | 2 | | 45 | 3 | | 46 | 11 | | 47 | 4 | | 48 | 5 | | 49 | 1 |
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| 31.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.2920353982300885 | | totalSentences | 113 | | uniqueOpeners | 33 | |
| 67.34% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 99 | | matches | | 0 | "Just the distant drum of" | | 1 | "Then she looked into the" |
| | ratio | 0.02 | |
| 74.55% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 99 | | matches | | 0 | "Her target, a wiry silhouette" | | 1 | "He wasn’t just running; he" | | 2 | "He knew these streets." | | 3 | "She’d been watching the bar" | | 4 | "He cut left down a" | | 5 | "He moved too fast." | | 6 | "Her fingers, numb with cold," | | 7 | "She hauled herself up, the" | | 8 | "She swung a leg over," | | 9 | "He fumbled with the door," | | 10 | "He pressed it against a" | | 11 | "She put her ear to" | | 12 | "She tried the handle." | | 13 | "It didn’t budge." | | 14 | "She scanned the area around" | | 15 | "Her mind raced." | | 16 | "She stepped back, assessing." | | 17 | "Her radio, clipped inside her" | | 18 | "Her gaze fell to the" | | 19 | "It wasn’t a fob or" |
| | ratio | 0.364 | |
| 30.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 99 | | matches | | 0 | "The rain fell in cold," | | 1 | "Detective Harlow Quinn tasted wet" | | 2 | "Her target, a wiry silhouette" | | 3 | "He wasn’t just running; he" | | 4 | "He knew these streets." | | 5 | "Quinn’s breath burned in her" | | 6 | "The worn leather strap of" | | 7 | "She’d been watching the bar" | | 8 | "This man, this Tomás Herrera," | | 9 | "He cut left down a" | | 10 | "Quinn didn’t hesitate, her hand" | | 11 | "The alley stank of stale" | | 12 | "A cat hissed and fled." | | 13 | "Herrera was twenty yards ahead," | | 14 | "He moved too fast." | | 15 | "Quinn reached the fence." | | 16 | "Her fingers, numb with cold," | | 17 | "She hauled herself up, the" | | 18 | "She swung a leg over," | | 19 | "The alley deposited them onto" |
| | ratio | 0.859 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 30.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 8 | | matches | | 0 | "Her target, a wiry silhouette in a dark hoodie, moved with a desperate, fluid grace three blocks ahead, weaving through the late-night crowd with an ease that s…" | | 1 | "The alley deposited them onto a less-traveled side street, slick and glistening under a single, flickering gaslight lamp that seemed anachronistic." | | 2 | "A small, intricately carved bone, roughly the size of a silver coin, etched with symbols that made her eyes water if she stared too long." | | 3 | "The memory surfaced, unbidden and sharp: Morris’s face, pale under the harsh lights of the morgue, not a mark on him, but his eyes wide with a terror that had n…" | | 4 | "A supernatural black market that moved like a phantom, selling horrors and miracles to those who knew the price." | | 5 | "But another part, the part that had stared at Morris’s empty desk for a year, the part that saw the pattern in the unnatural deaths and the strange goods appear…" | | 6 | "The air that breathed out was different—cool and dry, smelling of dust, ozone, and something else, something sweet and metallic, like old blood and burnt sugar." | | 7 | "She was crossing a threshold, and she knew, with a certainty that chilled her more than the rain, that there was no going back the same way she came in." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |