| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1423 | | 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) | |
| 61.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1423 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "fractured" | | 1 | "footsteps" | | 2 | "electric" | | 3 | "weight" | | 4 | "echoing" | | 5 | "measured" |
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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 | 112 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 112 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1413 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1392 | | uniqueNames | 16 | | maxNameDensity | 1.15 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Wardour | 1 | | Street | 3 | | Harlow | 1 | | Quinn | 16 | | Raven | 1 | | Nest | 1 | | Tomás | 1 | | Herrera | 13 | | Morris | 3 | | Mini | 1 | | Greek | 2 | | Camden | 1 | | Saint | 1 | | Christopher | 1 | | Glock | 1 | | Three | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Tomás" | | 4 | "Herrera" | | 5 | "Morris" | | 6 | "Saint" | | 7 | "Christopher" |
| | places | | 0 | "Wardour" | | 1 | "Street" | | 2 | "Greek" |
| | globalScore | 0.925 | | windowScore | 0.833 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 94 | | glossingSentenceCount | 2 | | matches | | 0 | "appeared ahead yellow sodium light filtered through a chain-link fence someone had cut open" | | 1 | "looked like antique maps laid out under p" |
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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 | 1413 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 98.61% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 64.23 | | std | 31.8 | | cv | 0.495 | | sampleLengths | | 0 | 112 | | 1 | 81 | | 2 | 102 | | 3 | 83 | | 4 | 104 | | 5 | 41 | | 6 | 7 | | 7 | 12 | | 8 | 14 | | 9 | 79 | | 10 | 86 | | 11 | 77 | | 12 | 53 | | 13 | 4 | | 14 | 85 | | 15 | 99 | | 16 | 59 | | 17 | 63 | | 18 | 77 | | 19 | 65 | | 20 | 73 | | 21 | 37 |
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| 92.73% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 112 | | matches | | 0 | "been locked" | | 1 | "being drawn" | | 2 | "been converted" | | 3 | "been made" |
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| 61.11% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 240 | | matches | | 0 | "wasn’t letting" | | 1 | "was already descending" | | 2 | "was going" | | 3 | "was rising" | | 4 | "was still running" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 5 | | flaggedSentences | 13 | | totalSentences | 115 | | ratio | 0.113 | | matches | | 0 | "The figure ahead of her—hood up, shoulders hunched—sprinted past the green neon sign of the Raven’s Nest without slowing." | | 1 | "Quinn didn’t hesitate; she vaulted the bonnet of a parked Mini and kept going." | | 2 | "At the far end Herrera was already descending a narrow iron staircase that disappeared beneath street level—an old service entrance for the abandoned Camden line platforms that had sat empty since the 1940s." | | 3 | "Old posters peeled in long strips; cracked tiles bore half-legible slogans about rationing." | | 4 | "A faint glow appeared ahead—yellow sodium light filtered through a chain-link fence someone had cut open." | | 5 | "Quinn caught a glimpse of stone tokens—pale, almost translucent—changing hands." | | 6 | "A woman with white tattoos circling both eyes lunged for her sleeve; Quinn pivoted, elbow connecting with soft tissue." | | 7 | "The market was alive with motion now—shadows darting away, lanterns swinging, the sharp metallic clink of weapons being drawn." | | 8 | "He didn’t grunt—just lifted her clean off the ground for a heartbeat before she drove a boot into his knee." | | 9 | "She fired once into the ground; the report cracked like thunder between the tiled arches." | | 10 | "Ahead, the archway waited—empty now, echoing with the fading sound of Herrera’s footsteps." | | 11 | "A breeze that carried no storm moved across her cheeks—cool, ancient, carrying the coppery trace of old metal." | | 12 | "The decision had already been made the moment Herrera stepped through the gate on Greek Street; everything after was simply the cost of seeing it through." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1405 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.032740213523131674 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006405693950177936 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 12.29 | | std | 7.42 | | cv | 0.604 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 25 | | 3 | 19 | | 4 | 30 | | 5 | 4 | | 6 | 20 | | 7 | 14 | | 8 | 10 | | 9 | 12 | | 10 | 11 | | 11 | 10 | | 12 | 11 | | 13 | 15 | | 14 | 2 | | 15 | 9 | | 16 | 16 | | 17 | 33 | | 18 | 16 | | 19 | 18 | | 20 | 8 | | 21 | 11 | | 22 | 9 | | 23 | 8 | | 24 | 13 | | 25 | 8 | | 26 | 8 | | 27 | 16 | | 28 | 10 | | 29 | 15 | | 30 | 10 | | 31 | 15 | | 32 | 7 | | 33 | 31 | | 34 | 6 | | 35 | 16 | | 36 | 10 | | 37 | 9 | | 38 | 7 | | 39 | 9 | | 40 | 3 | | 41 | 7 | | 42 | 7 | | 43 | 3 | | 44 | 21 | | 45 | 4 | | 46 | 14 | | 47 | 13 | | 48 | 19 | | 49 | 5 |
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| 46.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3217391304347826 | | totalSentences | 115 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 110 | | matches | | 0 | "Somewhere behind her a shop" | | 1 | "Somewhere a bell rang three" | | 2 | "Somewhere ahead Herrera was still" | | 3 | "Somewhere behind Morris’s death waited" |
| | ratio | 0.036 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 110 | | matches | | 0 | "Her raincoat flapped open, the" | | 1 | "He cut across the street" | | 2 | "She wasn’t letting him vanish" | | 3 | "He dropped his shoulder and" | | 4 | "She kept low, hand on" | | 5 | "Her own breath sounded loud" | | 6 | "She didn’t stop." | | 7 | "She drove her shoulder into" | | 8 | "She could still see Herrera’s" | | 9 | "He glanced over his shoulder" | | 10 | "Their eyes met across the" | | 11 | "She saw the Saint Christopher" | | 12 | "He didn’t grunt—just lifted her" | | 13 | "They crashed sideways into a" | | 14 | "She scrambled up, breathing hard." | | 15 | "She fired once into the" | | 16 | "She spotted Herrera again, now" | | 17 | "He was going deeper, and" | | 18 | "Her heart pounded against her" | | 19 | "She could smell wet earth" |
| | ratio | 0.264 | |
| 41.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 110 | | matches | | 0 | "Detective Harlow Quinn ran with" | | 1 | "Her raincoat flapped open, the" | | 2 | "The figure ahead of her—hood" | | 3 | "Quinn recognized the shape from" | | 4 | "Herrera didn’t look back." | | 5 | "He cut across the street" | | 6 | "Quinn didn’t hesitate; she vaulted" | | 7 | "The metallic tang of rain" | | 8 | "She wasn’t letting him vanish" | | 9 | "Herrera reached the corner where" | | 10 | "He dropped his shoulder and" | | 11 | "Quinn followed, coat catching on" | | 12 | "The alley stank of stale" | | 13 | "Quinn’s torch clipped to her" | | 14 | "The air changed instantly: colder," | | 15 | "Water dripped from unseen fractures" | | 16 | "The sound of the storm" | | 17 | "Herrera’s footsteps splashed somewhere ahead" | | 18 | "Quinn moved fast, beam sweeping" | | 19 | "She kept low, hand on" |
| | ratio | 0.836 | |
| 45.45% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 110 | | matches | | 0 | "Even at this distance she" |
| | ratio | 0.009 | |
| 62.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 7 | | matches | | 0 | "Detective Harlow Quinn ran with the long, economical stride of her training, boots slapping through puddles that reached her ankles." | | 1 | "At the far end Herrera was already descending a narrow iron staircase that disappeared beneath street level—an old service entrance for the abandoned Camden lin…" | | 2 | "She drove her shoulder into his chest, knocking him into a tarp that collapsed inward with a crash of metal bowls." | | 3 | "The man who caught her blow was massive, neck thicker than her thigh, face hidden behind a respirator mask ringed with brass fittings." | | 4 | "She spotted Herrera again, now ducking beneath an archway that led deeper into the station’s abandoned maintenance tunnels." | | 5 | "The tunnel swallowed every sound except her own breathing and the distant, measured drip of water that had been falling since before she arrived." | | 6 | "A breeze that carried no storm moved across her cheeks—cool, ancient, carrying the coppery trace of old metal." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "dead ends whispered (whisper)" |
| | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |