| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "She rocked back [back]" |
| | dialogueSentences | 40 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.067 | | effectiveRatio | 0.05 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1415 | | 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) | |
| 92.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1415 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 66 | | matches | (empty) | |
| 99.57% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 66 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 70 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1408 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 853 | | uniqueNames | 6 | | maxNameDensity | 0.94 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 8 | | Camden | 1 | | Ridley | 5 | | Rorschach | 1 | | Kowalski | 1 | | Eva | 4 |
| | persons | | 0 | "Quinn" | | 1 | "Camden" | | 2 | "Ridley" | | 3 | "Kowalski" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.71 | | wordCount | 1408 | | matches | | 0 | "not at the ceiling but past it, up" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 34.34 | | std | 28.69 | | cv | 0.835 | | sampleLengths | | 0 | 69 | | 1 | 15 | | 2 | 3 | | 3 | 64 | | 4 | 7 | | 5 | 74 | | 6 | 39 | | 7 | 63 | | 8 | 10 | | 9 | 45 | | 10 | 41 | | 11 | 51 | | 12 | 6 | | 13 | 68 | | 14 | 68 | | 15 | 1 | | 16 | 1 | | 17 | 4 | | 18 | 3 | | 19 | 84 | | 20 | 13 | | 21 | 25 | | 22 | 53 | | 23 | 67 | | 24 | 35 | | 25 | 3 | | 26 | 64 | | 27 | 3 | | 28 | 54 | | 29 | 31 | | 30 | 6 | | 31 | 5 | | 32 | 97 | | 33 | 12 | | 34 | 4 | | 35 | 31 | | 36 | 26 | | 37 | 94 | | 38 | 24 | | 39 | 12 | | 40 | 33 |
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| 94.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 66 | | matches | | 0 | "been given" | | 1 | "was undisturbed" | | 2 | "been swept" | | 3 | "been dragged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 141 | | matches | (empty) | |
| 48.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 91 | | ratio | 0.033 | | matches | | 0 | "They lined the platform in a crooked arcade, tarps lashed to the ceiling struts, and they had frozen mid-business when the call went out — jars of something that moved against the glass, bolts of cloth that shifted pattern when she passed, a counter of brass instruments with needles that all swung to follow her." | | 1 | "His gloves were already on and already wrong—left over right, bunched at the fingers." | | 2 | "\"The clean tile. The wet edge. The dry pillar.\" She looked at the compass needle again, at where it aimed—not at the ceiling but past it, up and back, on a line that would cross the stalls and the frozen arcade and come down at the mouth of the escalator where forty-one dead steps met a constable holding a paper envelope." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 858 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.013986013986013986 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002331002331002331 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 15.47 | | std | 14.68 | | cv | 0.949 | | sampleLengths | | 0 | 21 | | 1 | 22 | | 2 | 9 | | 3 | 17 | | 4 | 8 | | 5 | 7 | | 6 | 3 | | 7 | 5 | | 8 | 19 | | 9 | 23 | | 10 | 17 | | 11 | 7 | | 12 | 3 | | 13 | 7 | | 14 | 55 | | 15 | 4 | | 16 | 5 | | 17 | 13 | | 18 | 14 | | 19 | 12 | | 20 | 18 | | 21 | 1 | | 22 | 11 | | 23 | 33 | | 24 | 3 | | 25 | 7 | | 26 | 25 | | 27 | 20 | | 28 | 2 | | 29 | 29 | | 30 | 10 | | 31 | 3 | | 32 | 12 | | 33 | 36 | | 34 | 6 | | 35 | 29 | | 36 | 39 | | 37 | 4 | | 38 | 64 | | 39 | 1 | | 40 | 1 | | 41 | 4 | | 42 | 2 | | 43 | 1 | | 44 | 27 | | 45 | 53 | | 46 | 4 | | 47 | 3 | | 48 | 10 | | 49 | 25 |
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| 78.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5054945054945055 | | totalSentences | 91 | | uniqueOpeners | 46 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 34.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 56 | | matches | | 0 | "He looked nineteen and he" | | 1 | "She'd been given it in" | | 2 | "She held it out and" | | 3 | "They lined the platform in" | | 4 | "His gloves were already on" | | 5 | "She kept her hands in" | | 6 | "Her eyes went back to" | | 7 | "He had his theory voice" | | 8 | "He pointed toward the stairs" | | 9 | "She nodded at the tiles" | | 10 | "She rocked back on her" | | 11 | "She reached out without gloves" | | 12 | "She looked at the pillar" | | 13 | "She had come down behind" | | 14 | "Her round glasses had fogged" | | 15 | "She didn't look at the" | | 16 | "She looked at the brass" | | 17 | "She crouched beside Quinn, her" | | 18 | "Her finger hovered over the" | | 19 | "It held steady on the" |
| | ratio | 0.464 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 56 | | matches | | 0 | "The escalator had died years" | | 1 | "Harlow Quinn counted them out" | | 2 | "The SOCO lights had already" | | 3 | "A constable held the line" | | 4 | "He looked nineteen and he" | | 5 | "Quinn turned her palm up." | | 6 | "The chip of white sat" | | 7 | "She'd been given it in" | | 8 | "She held it out and" | | 9 | "Nobody had warned her about" | | 10 | "They lined the platform in" | | 11 | "The traders had gone." | | 12 | "The goods had stayed, watching." | | 13 | "DS Ridley lifted the tent" | | 14 | "His gloves were already on" | | 15 | "The body sat against a" | | 16 | "A long coat soaked through" | | 17 | "She kept her hands in" | | 18 | "Ridley nudged a tray of" | | 19 | "The tarp had a cut" |
| | ratio | 0.929 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 44.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 4 | | matches | | 0 | "She'd been given it in a paper envelope through her car window an hour ago by a man who hadn't given his name." | | 1 | "They lined the platform in a crooked arcade, tarps lashed to the ceiling struts, and they had frozen mid-business when the call went out — jars of something tha…" | | 2 | "A long coat soaked through at the chest in a black Rorschach spread, and above the collar the face of someone who had been old for a long time and finally looke…" | | 3 | "The movement of the body against the pillar: the coat had ridden up on one side and sat flat on the other, and the dust behind his shoulders was undisturbed for…" |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "She crouched, her satchel knocking against her knee" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |