| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 89.62% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 963 | | totalAiIsmAdverbs | 2 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 963 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "symphony" | | 1 | "fleeting" | | 2 | "familiar" | | 3 | "hulking" | | 4 | "structure" | | 5 | "pumping" | | 6 | "maw" | | 7 | "weight" | | 8 | "standard" | | 9 | "stark" | | 10 | "wavering" | | 11 | "gloom" | | 12 | "echoing" | | 13 | "silence" | | 14 | "footsteps" | | 15 | "spectral" | | 16 | "oppressive" | | 17 | "determined" | | 18 | "glint" | | 19 | "etched" | | 20 | "charged" | | 21 | "palpable" | | 22 | "tension" | | 23 | "clandestine" | | 24 | "scanned" |
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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 | 77 | | matches | (empty) | |
| 87.20% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 77 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 968 | | ratio | 0.001 | | matches | | |
| 62.50% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 1 | | matches | | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 968 | | uniqueNames | 8 | | maxNameDensity | 0.83 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 8 | | Morris | 4 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Camden | 1 | | Harry | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Harry" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 32.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like he was running *towards* some" | | 1 | "fabrics that seemed to absorb the light rather than reflect it" | | 2 | "looked like shrunken heads, his voice a l" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.066 | | wordCount | 968 | | matches | | 0 | "not towards a building, but towards a hulking, graffiti-scarred metal structure" | | 1 | "Not the hurried footsteps of someone trying to escape, but the sound of activity, of a place alive" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 43.08% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 9 | | mean | 107.56 | | std | 32.35 | | cv | 0.301 | | sampleLengths | | 0 | 130 | | 1 | 116 | | 2 | 65 | | 3 | 111 | | 4 | 87 | | 5 | 73 | | 6 | 132 | | 7 | 82 | | 8 | 172 |
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| 87.04% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 77 | | matches | | 0 | "was gone" | | 1 | "was gone" | | 2 | "was connected" | | 3 | "was lost" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 161 | | matches | | 0 | "was running" | | 1 | "was jarring" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 77 | | ratio | 0.065 | | matches | | 0 | "This wasn't just a simple chase; there was an urgency to his flight, a desperation that set her teeth further on edge." | | 1 | "She heard it then – a faint shuffling, a distant murmur of voices." | | 2 | "Flickering, unconventional light sources – glowing fungi, spectral lanterns casting an eerie, yellow light – appeared around corners." | | 3 | "She saw a glint of discarded material on the damp floor – a token carved from what looked disturbingly like ossified wood, etched with crude symbols." | | 4 | "Bodies shuffled past – figures draped in cloaks, faces obscured by shadows or elaborate masks, their movements fluid, alien." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 967 | | adjectiveStacks | 1 | | stackExamples | | 0 | "slick, algae-covered floor." |
| | adverbCount | 35 | | adverbRatio | 0.03619441571871768 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.011375387797311272 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 12.57 | | std | 6.23 | | cv | 0.495 | | sampleLengths | | 0 | 17 | | 1 | 22 | | 2 | 21 | | 3 | 24 | | 4 | 12 | | 5 | 17 | | 6 | 17 | | 7 | 11 | | 8 | 20 | | 9 | 19 | | 10 | 20 | | 11 | 12 | | 12 | 22 | | 13 | 12 | | 14 | 21 | | 15 | 11 | | 16 | 8 | | 17 | 16 | | 18 | 6 | | 19 | 3 | | 20 | 10 | | 21 | 10 | | 22 | 17 | | 23 | 4 | | 24 | 12 | | 25 | 8 | | 26 | 1 | | 27 | 18 | | 28 | 8 | | 29 | 10 | | 30 | 13 | | 31 | 12 | | 32 | 17 | | 33 | 2 | | 34 | 9 | | 35 | 12 | | 36 | 9 | | 37 | 26 | | 38 | 12 | | 39 | 17 | | 40 | 13 | | 41 | 13 | | 42 | 18 | | 43 | 9 | | 44 | 7 | | 45 | 18 | | 46 | 21 | | 47 | 18 | | 48 | 19 | | 49 | 8 |
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| 57.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4155844155844156 | | totalSentences | 77 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 63.24% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 74 | | matches | | 0 | "Her target, a wiry figure" | | 1 | "He was fast, unnervingly so," | | 2 | "He looked like he was" | | 3 | "He veered sharply, not towards" | | 4 | "He didn't pause, didn't look" | | 5 | "He was gone." | | 6 | "Her training screamed caution." | | 7 | "Her partner, DS Morris, would" | | 8 | "his absence was a constant," | | 9 | "She pictured his steady gaze," | | 10 | "She dropped her shoulder, putting" | | 11 | "It was heavy, much heavier" | | 12 | "It yielded just enough for" | | 13 | "She dropped into the darkness," | | 14 | "Her standard-issue flashlight beam cut" | | 15 | "She heard it then –" | | 16 | "She followed the sounds, her" | | 17 | "They cast casual glances, noting" | | 18 | "Her target had vanished into" | | 19 | "He was a ghost here," |
| | ratio | 0.392 | |
| 41.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 74 | | matches | | 0 | "Rain lashed the city, turning" | | 1 | "Detective Harlow Quinn’s boots struck" | | 2 | "Her target, a wiry figure" | | 3 | "He was fast, unnervingly so," | | 4 | "Quinn’s jaw tightened, the muscles" | | 5 | "The worn leather strap of" | | 6 | "The figure burst from the" | | 7 | "Headlights swept across the scene" | | 8 | "The air grew colder, thick" | | 9 | "Quinn pushed harder, her lungs" | | 10 | "This wasn't just a simple" | | 11 | "He looked like he was" | | 12 | "He veered sharply, not towards" | | 13 | "The grate, surprisingly light, swung" | | 14 | "He didn't pause, didn't look" | | 15 | "He was gone." | | 16 | "Quinn arrived seconds later, her" | | 17 | "The grate hung open, a" | | 18 | "The sound of the rain" | | 19 | "Her training screamed caution." |
| | ratio | 0.838 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 86.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 4 | | matches | | 0 | "He was fast, unnervingly so, slipping between overflowing bins and discarded crates with a practiced grace that spoke of more than just street smarts." | | 1 | "Headlights swept across the scene as a car sped past, its tires hissing through the standing water, momentarily blinding Quinn." | | 2 | "Quinn pushed harder, her lungs burning, her military precision driving her forward." | | 3 | "He veered sharply, not towards a building, but towards a hulking, graffiti-scarred metal structure that had once been a pumping station." |
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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 | |