| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 16 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |
| 95.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1216 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 54.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1216 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "methodical" | | 1 | "database" | | 2 | "echoed" | | 3 | "footsteps" | | 4 | "electric" | | 5 | "weight" | | 6 | "pulsed" | | 7 | "rhythmic" | | 8 | "standard" | | 9 | "pulse" |
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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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1207 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 62.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1030 | | uniqueNames | 15 | | maxNameDensity | 1.75 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 18 | | Tottenham | 1 | | Court | 1 | | Road | 1 | | Raven | 1 | | Nest | 1 | | London | 1 | | Camden | 2 | | Morris | 6 | | High | 1 | | Street | 1 | | Tube | 1 | | Underground | 1 | | Hendon | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Morris" |
| | places | | 0 | "Tottenham" | | 1 | "Court" | | 2 | "Road" | | 3 | "London" | | 4 | "Camden" | | 5 | "High" | | 6 | "Street" | | 7 | "Hendon" |
| | globalScore | 0.626 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1207 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 102 | | matches | | 0 | "acknowledge that something" | | 1 | "see that his" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 33.53 | | std | 21.83 | | cv | 0.651 | | sampleLengths | | 0 | 78 | | 1 | 81 | | 2 | 42 | | 3 | 3 | | 4 | 76 | | 5 | 36 | | 6 | 4 | | 7 | 59 | | 8 | 6 | | 9 | 53 | | 10 | 32 | | 11 | 18 | | 12 | 34 | | 13 | 13 | | 14 | 63 | | 15 | 24 | | 16 | 18 | | 17 | 46 | | 18 | 34 | | 19 | 37 | | 20 | 1 | | 21 | 43 | | 22 | 20 | | 23 | 29 | | 24 | 38 | | 25 | 60 | | 26 | 19 | | 27 | 8 | | 28 | 50 | | 29 | 49 | | 30 | 32 | | 31 | 14 | | 32 | 24 | | 33 | 47 | | 34 | 6 | | 35 | 10 |
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| 90.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 95 | | matches | | 0 | "was tattooed" | | 1 | "were fixed" | | 2 | "was supposed" | | 3 | "were dilated" |
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| 42.21% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 169 | | matches | | 0 | "was heading" | | 1 | "was slowing" | | 2 | "was fragmenting" | | 3 | "were shaking" |
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| 2.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 102 | | ratio | 0.049 | | matches | | 0 | "She'd been nursing a bitter coffee in that dim bar when the suspect—a lanky man with a scarred neck and nervous hands—had spotted her and run." | | 1 | "The tactical part of her mind—the part trained at Hendon all those years ago—kicked into place." | | 2 | "Where cracked tarmac should have been, a metal grating existed instead—the kind that covered old ventilation shafts." | | 3 | "Close enough to smell the chemical residue on his clothes—something acrid and sulfurous that didn't match any standard narcotics in her database." | | 4 | "Quinn could hear something now—the faint murmur of voices, the rustle of movement." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1039 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.026948989412897015 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008662175168431183 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 11.83 | | std | 8.33 | | cv | 0.704 | | sampleLengths | | 0 | 15 | | 1 | 37 | | 2 | 26 | | 3 | 7 | | 4 | 21 | | 5 | 15 | | 6 | 4 | | 7 | 34 | | 8 | 15 | | 9 | 13 | | 10 | 6 | | 11 | 5 | | 12 | 3 | | 13 | 3 | | 14 | 13 | | 15 | 2 | | 16 | 11 | | 17 | 21 | | 18 | 8 | | 19 | 21 | | 20 | 28 | | 21 | 5 | | 22 | 3 | | 23 | 4 | | 24 | 13 | | 25 | 15 | | 26 | 4 | | 27 | 21 | | 28 | 6 | | 29 | 6 | | 30 | 14 | | 31 | 16 | | 32 | 18 | | 33 | 5 | | 34 | 8 | | 35 | 16 | | 36 | 8 | | 37 | 18 | | 38 | 11 | | 39 | 13 | | 40 | 7 | | 41 | 3 | | 42 | 10 | | 43 | 3 | | 44 | 5 | | 45 | 17 | | 46 | 11 | | 47 | 2 | | 48 | 14 | | 49 | 2 |
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| 58.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4117647058823529 | | totalSentences | 102 | | uniqueOpeners | 42 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 87 | | matches | | 0 | "Away from the main roads." | | 1 | "Away from witnesses." | | 2 | "Away from help." | | 3 | "Instead, he twisted left toward" | | 4 | "Instead, he looked at her" |
| | ratio | 0.057 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 87 | | matches | | 0 | "She'd been nursing a bitter" | | 1 | "Her legs burned as she" | | 2 | "It had grown teeth." | | 3 | "He was heading northeast, toward" | | 4 | "She couldn't let him disappear" | | 5 | "Her dead partner's name was" | | 6 | "His breathing came hard now." | | 7 | "He was slowing." | | 8 | "She'd walked these streets during" | | 9 | "He disappeared under the bridge's" | | 10 | "She slowed her pace, breathing" | | 11 | "He was either cornered or" | | 12 | "They were fixed on something" | | 13 | "Her breath caught." | | 14 | "She'd heard whispers." | | 15 | "It wasn't fear." | | 16 | "It was pity." | | 17 | "he said quietly" | | 18 | "She should arrest this man." | | 19 | "She pulled out her phone." |
| | ratio | 0.253 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 87 | | matches | | 0 | "The rain hammered the pavement" | | 1 | "Detective Harlow Quinn's worn leather" | | 2 | "She'd been nursing a bitter" | | 3 | "Her legs burned as she" | | 4 | "The military precision that had" | | 5 | "It had grown teeth." | | 6 | "Things moved through London's streets" | | 7 | "The suspect vaulted over a" | | 8 | "Quinn took it in stride," | | 9 | "He was heading northeast, toward" | | 10 | "She couldn't let him disappear" | | 11 | "Her dead partner's name was" | | 12 | "The rain soaked through her" | | 13 | "His breathing came hard now." | | 14 | "He was slowing." | | 15 | "Quinn pushed herself faster." | | 16 | "The alley opened onto Camden" | | 17 | "Quinn knew this area." | | 18 | "She'd walked these streets during" | | 19 | "Back when the city made" |
| | ratio | 0.713 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | | ratio | 0.011 | |
| 55.39% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 6 | | matches | | 0 | "Detective Harlow Quinn's worn leather watch read 11:47 PM as she cut through the intersection at Tottenham Court Road, her trained eyes tracking the figure who'…" | | 1 | "The military precision that had defined her entire career kept her breathing controlled, methodical, even as rage curled in her chest." | | 2 | "Instead, he twisted left toward the abandoned railway bridge that spanned the old Tube depot." | | 3 | "In the way certain crime scenes didn't add up, where evidence disappeared and witnesses retracted statements that should have been airtight." | | 4 | "Instead, he looked at her directly, and Quinn saw something in his expression that made her jaw tighten." | | 5 | "Protocol had kept her partnered with bureaucrats who'd rather file falsified reports than acknowledge that something fundamental had shifted in their city." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 4 | | matches | | 0 | "Quinn called out, her voice steady despite the adrenaline spike" | | 1 | "the suspect said, his voice cracking like a boy's" | | 2 | "Quinn commanded, but her eyes remained fixed on that opening" | | 3 | "Quinn said, her voice cutting through the rain's percussion" |
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| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn called out (call out)" |
| | dialogueSentences | 16 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0.2 | | effectiveRatio | 0.125 | |