| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "her eyes assessing almost [almost]" |
| | dialogueSentences | 51 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.059 | | effectiveRatio | 0.039 | |
| 80.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1285 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "deliberately" | | 1 | "really" | | 2 | "suddenly" | | 3 | "carefully" |
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| 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) | |
| 37.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1285 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "echo" | | 1 | "weight" | | 2 | "warmth" | | 3 | "efficient" | | 4 | "velvet" | | 5 | "measured" | | 6 | "silence" | | 7 | "eyebrow" | | 8 | "whisper" | | 9 | "disrupting" | | 10 | "navigated" | | 11 | "dance" | | 12 | "scanning" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 94 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 94 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 129 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 5 | | totalWords | 1280 | | ratio | 0.004 | | matches | | 0 | "had" | | 1 | "were" | | 2 | "wake-up call" | | 3 | "us" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 919 | | uniqueNames | 5 | | maxNameDensity | 0.44 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 4 | | Spymaster | 1 | | Silas | 4 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Spymaster" | | 3 | "Silas" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "as if sensing the shift in atmosphere, had abandoned the glasses and was moving towards them, his limp barely perceptible as he navigated the crowded space" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.781 | | wordCount | 1280 | | matches | | 0 | "not close enough to touch, but close enough" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 129 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 20.32 | | std | 14.36 | | cv | 0.707 | | sampleLengths | | 0 | 42 | | 1 | 1 | | 2 | 45 | | 3 | 5 | | 4 | 6 | | 5 | 69 | | 6 | 26 | | 7 | 19 | | 8 | 3 | | 9 | 11 | | 10 | 48 | | 11 | 12 | | 12 | 18 | | 13 | 15 | | 14 | 14 | | 15 | 13 | | 16 | 23 | | 17 | 74 | | 18 | 21 | | 19 | 18 | | 20 | 4 | | 21 | 10 | | 22 | 13 | | 23 | 21 | | 24 | 1 | | 25 | 26 | | 26 | 32 | | 27 | 10 | | 28 | 16 | | 29 | 28 | | 30 | 5 | | 31 | 18 | | 32 | 3 | | 33 | 6 | | 34 | 19 | | 35 | 37 | | 36 | 20 | | 37 | 23 | | 38 | 36 | | 39 | 27 | | 40 | 17 | | 41 | 25 | | 42 | 10 | | 43 | 2 | | 44 | 10 | | 45 | 21 | | 46 | 8 | | 47 | 32 | | 48 | 20 | | 49 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 83.72% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 172 | | matches | | 0 | "was, picking" | | 1 | "was peeling" | | 2 | "was playing" |
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| 98.56% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 129 | | ratio | 0.016 | | matches | | 0 | "It wasn’t the physical alterations, though there *were* those—a sharper angle to the jaw, a hardness around the mouth that hadn’t been there—it was the weight she carried." | | 1 | "A barman, a young man with a shaved head and multiple piercings, appeared silently and took her order—a gin and tonic." |
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| 83.21% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 731 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.0560875512995896 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.023255813953488372 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 129 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 129 | | mean | 9.92 | | std | 7.05 | | cv | 0.71 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 9 | | 3 | 1 | | 4 | 10 | | 5 | 10 | | 6 | 2 | | 7 | 1 | | 8 | 22 | | 9 | 5 | | 10 | 6 | | 11 | 5 | | 12 | 20 | | 13 | 3 | | 14 | 28 | | 15 | 13 | | 16 | 9 | | 17 | 17 | | 18 | 13 | | 19 | 6 | | 20 | 3 | | 21 | 1 | | 22 | 2 | | 23 | 2 | | 24 | 6 | | 25 | 14 | | 26 | 34 | | 27 | 12 | | 28 | 11 | | 29 | 7 | | 30 | 12 | | 31 | 3 | | 32 | 6 | | 33 | 8 | | 34 | 10 | | 35 | 3 | | 36 | 9 | | 37 | 4 | | 38 | 10 | | 39 | 15 | | 40 | 11 | | 41 | 7 | | 42 | 6 | | 43 | 12 | | 44 | 19 | | 45 | 3 | | 46 | 1 | | 47 | 21 | | 48 | 6 | | 49 | 12 |
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| 59.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.40310077519379844 | | totalSentences | 129 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 84 | | matches | | 0 | "Just nursing the amber liquid," | | 1 | "Finally, he raised his head." | | 2 | "Then, before either of them" |
| | ratio | 0.036 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 84 | | matches | | 0 | "He hadn’t bothered with a" | | 1 | "He hadn't heard it in…God," | | 2 | "He didn’t turn immediately, letting" | | 3 | "She hadn’t changed, not exactly." | | 4 | "It wasn’t the physical alterations," | | 5 | "It clung to her like" | | 6 | "she said, her voice flat," | | 7 | "She hadn’t moved from the" | | 8 | "He managed a nod, took" | | 9 | "She moved then, threading her" | | 10 | "She stopped a few feet" | | 11 | "she asked, her gaze sweeping" | | 12 | "he said, gesturing vaguely towards" | | 13 | "She repeated the phrase with" | | 14 | "He felt a prickle of" | | 15 | "She finally met his eyes," | | 16 | "He gestured towards it." | | 17 | "She hesitated, then moved, settling" | | 18 | "He didn’t offer to pull" | | 19 | "He simply watched her, cataloging" |
| | ratio | 0.619 | |
| 37.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 84 | | matches | | 0 | "The ice clinked, a brittle" | | 1 | "He hadn’t bothered with a" | | 2 | "The voice was a rusty" | | 3 | "He hadn't heard it in…God," | | 4 | "He didn’t turn immediately, letting" | | 5 | "She hadn’t changed, not exactly." | | 6 | "The black hair was still" | | 7 | "It wasn’t the physical alterations," | | 8 | "It clung to her like" | | 9 | "she said, her voice flat," | | 10 | "She hadn’t moved from the" | | 11 | "He managed a nod, took" | | 12 | "She moved then, threading her" | | 13 | "She stopped a few feet" | | 14 | "she asked, her gaze sweeping" | | 15 | "he said, gesturing vaguely towards" | | 16 | "She repeated the phrase with" | | 17 | "He felt a prickle of" | | 18 | "She finally met his eyes," | | 19 | "A small table sat empty" |
| | ratio | 0.845 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "She looked away again, her gaze drifting towards the back of the bar, where Silas stood, polishing glasses with a meticulousness that bordered on obsessive." | | 1 | "Silas, as if sensing the shift in atmosphere, had abandoned the glasses and was moving towards them, his limp barely perceptible as he navigated the crowded spa…" | | 2 | "And Rory was on her feet, moving with a speed and precision that he hadn’t remembered, her bright blue eyes already scanning the room, assessing the threat." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 5 | | matches | | 0 | "she said, her voice flat, devoid of warmth" | | 1 | "she asked, her gaze sweeping the room, avoiding his" | | 2 | "he said, his voice carefully neutral" | | 3 | "he pressed, relentlessly" | | 4 | "she said, her voice regaining some of its earlier composure" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "She repeated (repeat)" | | 1 | "he pressed (press)" |
| | dialogueSentences | 51 | | tagDensity | 0.196 | | leniency | 0.392 | | rawRatio | 0.2 | | effectiveRatio | 0.078 | |