| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "His lip curled slightly [slightly]" | | 1 | "He smiled again [again]" |
| | dialogueSentences | 48 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.125 | | effectiveRatio | 0.083 | |
| 66.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1031 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "very" | | 3 | "slowly" | | 4 | "suddenly" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 17.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1031 | | totalAiIsms | 17 | | found | | 0 | | word | "practiced ease" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | |
| | highlights | | 0 | "practiced ease" | | 1 | "comforting" | | 2 | "looming" | | 3 | "familiar" | | 4 | "etched" | | 5 | "scanned" | | 6 | "eyebrow" | | 7 | "intensity" | | 8 | "silence" | | 9 | "calculated" | | 10 | "implication" | | 11 | "calculating" | | 12 | "unreadable" | | 13 | "gloom" | | 14 | "echoing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1027 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.16% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 743 | | uniqueNames | 5 | | maxNameDensity | 1.08 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Rory | 8 | | Tube | 1 | | London | 2 |
| | persons | | | places | | | globalScore | 0.962 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1027 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 20.14 | | std | 16.92 | | cv | 0.84 | | sampleLengths | | 0 | 89 | | 1 | 13 | | 2 | 43 | | 3 | 22 | | 4 | 27 | | 5 | 1 | | 6 | 16 | | 7 | 3 | | 8 | 48 | | 9 | 5 | | 10 | 5 | | 11 | 16 | | 12 | 35 | | 13 | 18 | | 14 | 28 | | 15 | 5 | | 16 | 21 | | 17 | 2 | | 18 | 35 | | 19 | 27 | | 20 | 1 | | 21 | 24 | | 22 | 2 | | 23 | 19 | | 24 | 41 | | 25 | 7 | | 26 | 20 | | 27 | 2 | | 28 | 38 | | 29 | 30 | | 30 | 9 | | 31 | 8 | | 32 | 11 | | 33 | 14 | | 34 | 6 | | 35 | 29 | | 36 | 59 | | 37 | 5 | | 38 | 6 | | 39 | 11 | | 40 | 12 | | 41 | 15 | | 42 | 28 | | 43 | 4 | | 44 | 3 | | 45 | 20 | | 46 | 25 | | 47 | 28 | | 48 | 16 | | 49 | 34 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 122 | | matches | | |
| 64.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 109 | | ratio | 0.028 | | matches | | 0 | "It allowed the hum of the building – the creaks of the floorboards, the distant rumble of the Tube – to fill the space, a comforting white noise against the chaos in her head." | | 1 | "Close enough to smell his aftershave—something sharp and citrusy, a world away from the cheap cologne he used to wear." | | 2 | "“Do they?” He paused, his gaze sweeping over her face, lingering on the small crescent-shaped scar on her left wrist–a memento she usually concealed beneath a bracelet." |
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| 93.86% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 747 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 30 | | adverbRatio | 0.040160642570281124 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.012048192771084338 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 9.42 | | std | 5.99 | | cv | 0.636 | | sampleLengths | | 0 | 14 | | 1 | 18 | | 2 | 13 | | 3 | 6 | | 4 | 4 | | 5 | 34 | | 6 | 10 | | 7 | 3 | | 8 | 12 | | 9 | 3 | | 10 | 9 | | 11 | 3 | | 12 | 4 | | 13 | 11 | | 14 | 1 | | 15 | 6 | | 16 | 1 | | 17 | 3 | | 18 | 10 | | 19 | 2 | | 20 | 22 | | 21 | 5 | | 22 | 1 | | 23 | 7 | | 24 | 9 | | 25 | 3 | | 26 | 16 | | 27 | 12 | | 28 | 20 | | 29 | 5 | | 30 | 4 | | 31 | 1 | | 32 | 9 | | 33 | 7 | | 34 | 18 | | 35 | 17 | | 36 | 16 | | 37 | 2 | | 38 | 15 | | 39 | 13 | | 40 | 5 | | 41 | 10 | | 42 | 11 | | 43 | 2 | | 44 | 13 | | 45 | 22 | | 46 | 14 | | 47 | 13 | | 48 | 1 | | 49 | 15 |
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| 77.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.47706422018348627 | | totalSentences | 109 | | uniqueOpeners | 52 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 74 | | matches | | 0 | "Almost five years." | | 1 | "Then, he slowly stood up," |
| | ratio | 0.027 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 74 | | matches | | 0 | "She preferred the quiet." | | 1 | "It allowed the hum of" | | 2 | "He filled the doorway, a" | | 3 | "His suit, expensive charcoal wool," | | 4 | "Her grip tightened on the" | | 5 | "She hadn't pictured running into" | | 6 | "He scanned the room, his" | | 7 | "It didn't reach his eyes." | | 8 | "She set the glass down" | | 9 | "He strolled towards the bar," | | 10 | "He settled onto a stool," | | 11 | "He chuckled, a low sound" | | 12 | "She busied herself with wiping" | | 13 | "He flagged her down, his" | | 14 | "he asked, finally" | | 15 | "She handed him the glass" | | 16 | "He took a sip, savoring" | | 17 | "She met his gaze, refusing" | | 18 | "He swirled the whiskey in" | | 19 | "He took another drink, then" |
| | ratio | 0.595 | |
| 14.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 74 | | matches | | 0 | "The Raven’s Nest smelled of" | | 1 | "Rain lashed against the green" | | 2 | "Tuesday nights were slow, blessedly" | | 3 | "She preferred the quiet." | | 4 | "It allowed the hum of" | | 5 | "A bell above the door" | | 6 | "Rory glanced up." | | 7 | "He filled the doorway, a" | | 8 | "His suit, expensive charcoal wool," | | 9 | "The face, though…" | | 10 | "that was the shock." | | 11 | "Her grip tightened on the" | | 12 | "She hadn't pictured running into" | | 13 | "He scanned the room, his" | | 14 | "It didn't reach his eyes." | | 15 | "The name tasted foreign on" | | 16 | "She set the glass down" | | 17 | "He strolled towards the bar," | | 18 | "He settled onto a stool," | | 19 | "Rory raised an eyebrow." |
| | ratio | 0.892 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "Because she didn't want to" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "It wouldn't erase the memory of his controlling behavior, the constant belittling, the isolating tactics that had chipped away at her self-worth." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 4 | | matches | | 0 | "He flagged, his eyes tracking her movements" | | 1 | "he asked, finally" | | 2 | "she stated, the word clipped and precise" | | 3 | "She cut, her voice low but firm" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "He laughed (laugh)" | | 1 | "she stated (state)" |
| | dialogueSentences | 48 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 0.667 | | effectiveRatio | 0.083 | |