| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "Julian said softly [softly]" |
| | dialogueSentences | 50 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0.071 | | effectiveRatio | 0.04 | |
| 89.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1434 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "really" | | 1 | "softly" | | 2 | "slowly" |
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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) | |
| 61.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1434 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "familiar" | | 1 | "rhythmic" | | 2 | "tracing" | | 3 | "footsteps" | | 4 | "scanning" | | 5 | "structure" | | 6 | "silence" | | 7 | "intensity" | | 8 | "flicker" |
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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 | 70 | | matches | (empty) | |
| 61.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1434 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1014 | | uniqueNames | 12 | | maxNameDensity | 1.38 | | worstName | "Julian" | | maxWindowNameDensity | 3 | | worstWindowName | "Julian" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Soho | 2 | | Blackwood | 1 | | Cardiff | 1 | | Paddington | 1 | | Silas | 5 | | Julian | 14 | | Europe | 1 | | Rory | 14 | | Silence | 1 | | Macallan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Blackwood" | | 2 | "Silas" | | 3 | "Julian" | | 4 | "Rory" | | 5 | "Silence" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "Paddington" | | 3 | "Europe" |
| | globalScore | 0.81 | | windowScore | 0.667 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like the Cardiff courtroom sketche" | | 1 | "as if trying to memorize the sharp angles of her face, the quiet intensity that had replaced the restless girl he used to know" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.697 | | wordCount | 1434 | | matches | | 0 | "not the tense quiet of enemies, but the heavy, mournful silence of two travelers who had started" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 24.31 | | std | 18.47 | | cv | 0.76 | | sampleLengths | | 0 | 44 | | 1 | 41 | | 2 | 48 | | 3 | 25 | | 4 | 41 | | 5 | 23 | | 6 | 5 | | 7 | 1 | | 8 | 41 | | 9 | 1 | | 10 | 13 | | 11 | 15 | | 12 | 48 | | 13 | 27 | | 14 | 56 | | 15 | 22 | | 16 | 4 | | 17 | 12 | | 18 | 3 | | 19 | 46 | | 20 | 5 | | 21 | 6 | | 22 | 20 | | 23 | 69 | | 24 | 2 | | 25 | 29 | | 26 | 10 | | 27 | 35 | | 28 | 29 | | 29 | 2 | | 30 | 12 | | 31 | 35 | | 32 | 29 | | 33 | 11 | | 34 | 13 | | 35 | 9 | | 36 | 51 | | 37 | 52 | | 38 | 10 | | 39 | 7 | | 40 | 24 | | 41 | 59 | | 42 | 15 | | 43 | 5 | | 44 | 69 | | 45 | 7 | | 46 | 3 | | 47 | 2 | | 48 | 42 | | 49 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 160 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 106 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 760 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.02631578947368421 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007894736842105263 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 13.53 | | std | 9.51 | | cv | 0.703 | | sampleLengths | | 0 | 26 | | 1 | 18 | | 2 | 15 | | 3 | 26 | | 4 | 16 | | 5 | 19 | | 6 | 13 | | 7 | 25 | | 8 | 6 | | 9 | 16 | | 10 | 14 | | 11 | 5 | | 12 | 6 | | 13 | 17 | | 14 | 5 | | 15 | 1 | | 16 | 25 | | 17 | 16 | | 18 | 1 | | 19 | 13 | | 20 | 14 | | 21 | 1 | | 22 | 19 | | 23 | 6 | | 24 | 23 | | 25 | 21 | | 26 | 4 | | 27 | 2 | | 28 | 29 | | 29 | 27 | | 30 | 10 | | 31 | 12 | | 32 | 4 | | 33 | 12 | | 34 | 3 | | 35 | 11 | | 36 | 27 | | 37 | 8 | | 38 | 5 | | 39 | 6 | | 40 | 13 | | 41 | 7 | | 42 | 22 | | 43 | 45 | | 44 | 2 | | 45 | 2 | | 46 | 21 | | 47 | 8 | | 48 | 10 | | 49 | 13 |
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| 46.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.33962264150943394 | | totalSentences | 106 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 50.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 66 | | matches | | 0 | "He polished a heavy tumbler" | | 1 | "Her straight, shoulder-length black hair" | | 2 | "She knew the rhythm of" | | 3 | "They were firm, leather-soled, expensive." | | 4 | "He stood in a tailored" | | 5 | "He looked like the Cardiff" | | 6 | "He stared, his eyes scanning" | | 7 | "He didn't move to hug" | | 8 | "He signaled to Silas." | | 9 | "He poured the amber liquid," | | 10 | "He looked around the bar," | | 11 | "He trailed off, looking at" | | 12 | "He gestured with his glass" | | 13 | "She looked down at the" | | 14 | "He gestured to her damp" | | 15 | "She looked at Silas, who" | | 16 | "She turned her head, looking" | | 17 | "He looked at his hands," | | 18 | "His shoulders sagged, just a" | | 19 | "he said, his voice dropping" |
| | ratio | 0.424 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 66 | | matches | | 0 | "The green neon sign of" | | 1 | "Silas Blackwood limped behind the" | | 2 | "He polished a heavy tumbler" | | 3 | "Rory sat on the corner" | | 4 | "Her straight, shoulder-length black hair" | | 5 | "A half-empty pint of dark" | | 6 | "The brass bell above the" | | 7 | "Rory did not look up" | | 8 | "She knew the rhythm of" | | 9 | "They were firm, leather-soled, expensive." | | 10 | "The newcomer stopped three paces" | | 11 | "The scent of sandalwood cologne" | | 12 | "Rory turned her face up." | | 13 | "He stood in a tailored" | | 14 | "He looked like the Cardiff" | | 15 | "The old name fell between" | | 16 | "Rory tightened her grip on" | | 17 | "He stared, his eyes scanning" | | 18 | "He didn't move to hug" | | 19 | "The space between them stretched," |
| | ratio | 0.955 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 6.80% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 8 | | matches | | 0 | "But the footsteps that approached the bar lacked the tentative shuffle of a stranger." | | 1 | "Julian slid onto the stool beside her, his movements stiff, as if his expensive suit restricted more than just his shoulders." | | 2 | "He looked around the bar, his gaze drifting over the faded maps of Europe and the black-and-white photographs of long-dead faces that lined the dark wood walls." | | 3 | "Julian frowned, a crease forming between his eyebrows that made him look exactly like his own father." | | 4 | "She looked at Silas, who was currently wiping down a beer tap, his posture relaxed but his eyes never leaving the mirror behind the bottles." | | 5 | "Julian looked at her, his eyes shining with a sudden, raw envy that made him look younger and far more fragile than his suit suggested." | | 6 | "Silence settled between them, not the tense quiet of enemies, but the heavy, mournful silence of two travelers who had started at the same crossroads and chosen…" | | 7 | "Julian stared at her for a long moment, as if trying to memorize the sharp angles of her face, the quiet intensity that had replaced the restless girl he used t…" |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "Julian set, the ice clinking against the sides" | | 1 | "he said, his voice dropping an octave, losing its professional sheen" | | 2 | "she said, her voice softening for the first time" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "Rory murmured (murmur)" |
| | dialogueSentences | 50 | | tagDensity | 0.14 | | leniency | 0.28 | | rawRatio | 0.143 | | effectiveRatio | 0.04 | |