| 25.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 6 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |
| 70.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1006 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "suddenly" | | 1 | "slightly" | | 2 | "gently" | | 3 | "softly" |
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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) | |
| 55.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1006 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "mosaic" | | 1 | "echoed" | | 2 | "pumping" | | 3 | "pulse" | | 4 | "vibrated" | | 5 | "echo" | | 6 | "etched" | | 7 | "weight" | | 8 | "quickened" |
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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 | 1 | | narrationSentences | 61 | | matches | | |
| 72.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 61 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1011 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 67.44% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 969 | | uniqueNames | 14 | | maxNameDensity | 1.65 | | worstName | "Harlow" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 16 | | Quinn | 1 | | Dean | 1 | | Street | 1 | | Raven | 2 | | Nest | 2 | | Tomás | 2 | | Herrera | 8 | | Underground | 1 | | Morris | 1 | | Tube | 1 | | Saint | 1 | | Christopher | 1 | | Christian | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Tomás" | | 5 | "Herrera" | | 6 | "Morris" | | 7 | "Saint" | | 8 | "Christopher" |
| | places | | | globalScore | 0.674 | | windowScore | 0.833 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like ceremonial daggers, their bla" | | 1 | "something like pity" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.989 | | wordCount | 1011 | | matches | | 0 | "not with guilt, but with something like pity" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 57.86% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 48.14 | | std | 16.97 | | cv | 0.353 | | sampleLengths | | 0 | 69 | | 1 | 60 | | 2 | 32 | | 3 | 58 | | 4 | 52 | | 5 | 70 | | 6 | 46 | | 7 | 59 | | 8 | 48 | | 9 | 76 | | 10 | 47 | | 11 | 55 | | 12 | 62 | | 13 | 63 | | 14 | 53 | | 15 | 16 | | 16 | 36 | | 17 | 19 | | 18 | 40 | | 19 | 19 | | 20 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 155 | | matches | | 0 | "was gaining" | | 1 | "was reaching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 63 | | ratio | 0.159 | | matches | | 0 | "The neon glare of the Raven’s Nest threw an emerald wash across the wet pavement behind her - the last place she’d spotted Tomás Herrera before he bolted like a startled deer." | | 1 | "She cursed under her breath - the damn rain must be messing with the signal again." | | 2 | "The former medic wasn't built for sustained sprints - his breath came in ragged gasps that carried over the drumming rain." | | 3 | "DS Morris had hesitated at a similar threshold - a decision that cost him everything." | | 4 | "The air changed immediately - the sterile rain scent replaced by something damp and organic, like soil after a thaw." | | 5 | "Distant sounds swirled up the tunnel - the murmur of voices, the clink of glassware, and something else..." | | 6 | "One vendor displayed rows of vials filled with swirling liquids that defied color names - hues that appeared and disappeared when viewed from different angles." | | 7 | "And there - twenty yards ahead - Herrera stood talking urgently with a tall figure in a long black coat, their hands exchanging something small that glinted in the low light." | | 8 | "Maybe it was the way Herrera had looked at her in the Raven's Nest before he ran - not with guilt, but with something like pity." | | 9 | "The last turn revealed a dead end - just a blank wall with a single rusted pipe protruding at eye level." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 967 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03516028955532575 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.014477766287487074 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 16.05 | | std | 6.62 | | cv | 0.413 | | sampleLengths | | 0 | 17 | | 1 | 20 | | 2 | 32 | | 3 | 16 | | 4 | 18 | | 5 | 26 | | 6 | 4 | | 7 | 12 | | 8 | 16 | | 9 | 18 | | 10 | 14 | | 11 | 26 | | 12 | 6 | | 13 | 21 | | 14 | 25 | | 15 | 12 | | 16 | 16 | | 17 | 8 | | 18 | 11 | | 19 | 23 | | 20 | 6 | | 21 | 12 | | 22 | 15 | | 23 | 13 | | 24 | 20 | | 25 | 18 | | 26 | 21 | | 27 | 18 | | 28 | 9 | | 29 | 21 | | 30 | 12 | | 31 | 17 | | 32 | 25 | | 33 | 22 | | 34 | 16 | | 35 | 31 | | 36 | 20 | | 37 | 15 | | 38 | 20 | | 39 | 11 | | 40 | 10 | | 41 | 22 | | 42 | 19 | | 43 | 28 | | 44 | 9 | | 45 | 26 | | 46 | 13 | | 47 | 8 | | 48 | 11 | | 49 | 21 |
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| 63.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.42857142857142855 | | totalSentences | 63 | | uniqueOpeners | 27 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 61 | | matches | | 0 | "Then suddenly he veered left," | | 1 | "Maybe it was the memory" | | 2 | "Maybe it was the way" | | 3 | "Somewhere ahead, a door clicked" | | 4 | "Only now she noticed the" | | 5 | "Instead he produced a bone-white" |
| | ratio | 0.098 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 61 | | matches | | 0 | "Her leather boots skidded on" | | 1 | "She could just make out" | | 2 | "She cursed under her breath" | | 3 | "She was gaining on him" | | 4 | "She'd been here before, chasing" | | 5 | "Her boots scraped against the" | | 6 | "She pivoted, putting a cluster" | | 7 | "Her service pistol felt suddenly" | | 8 | "She couldn't articulate why her" | | 9 | "She was reaching for it" | | 10 | "He reached into his coat" | | 11 | "he said softly" |
| | ratio | 0.197 | |
| 66.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 61 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn leaned into" | | 2 | "The neon glare of the" | | 3 | "Her leather boots skidded on" | | 4 | "The faint jingle of a" | | 5 | "She could just make out" | | 6 | "Harlow tapped her earpiece." | | 7 | "Static hissed in response" | | 8 | "She cursed under her breath" | | 9 | "The alley dumped her out" | | 10 | "A black cab swerved, horn" | | 11 | "Harlow barely registered the driver's" | | 12 | "She was gaining on him" | | 13 | "The former medic wasn't built" | | 14 | "The stairs led to a" | | 15 | "The door stood slightly ajar," | | 16 | "Harlow hesitated, hand hovering near" | | 17 | "A metallic taste flooded her" | | 18 | "She'd been here before, chasing" | | 19 | "DS Morris had hesitated at" |
| | ratio | 0.787 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 66.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 5 | | matches | | 0 | "The former medic wasn't built for sustained sprints - his breath came in ragged gasps that carried over the drumming rain." | | 1 | "DS Morris had hesitated at a similar threshold - a decision that cost him everything." | | 2 | "Flickering LED strands illuminated a crude path through the archways, casting jumping shadows that made Harlow's pulse thrum in her throat." | | 3 | "One vendor displayed rows of vials filled with swirling liquids that defied color names - hues that appeared and disappeared when viewed from different angles." | | 4 | "And there - twenty yards ahead - Herrera stood talking urgently with a tall figure in a long black coat, their hands exchanging something small that glinted in …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Static hissed (hiss)" | | 1 | "Harlow demanded (demand)" |
| | dialogueSentences | 6 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |