| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 1 | | adverbTags | | 0 | "he finished quietly [quietly]" |
| | dialogueSentences | 52 | | tagDensity | 0.423 | | leniency | 0.846 | | rawRatio | 0.045 | | effectiveRatio | 0.038 | |
| 87.86% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1647 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "completely" |
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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) | |
| 54.46% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1647 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "familiar" | | 1 | "scanned" | | 2 | "measured" | | 3 | "weight" | | 4 | "silence" | | 5 | "eyebrow" | | 6 | "echoed" | | 7 | "reminder" | | 8 | "traced" | | 9 | "flickered" |
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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 | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 97 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | 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 | 2 | | markdownWords | 2 | | totalWords | 1639 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 1 | | matches | | 0 | "Outside, Soho continued its restless movement." |
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| 97.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1049 | | uniqueNames | 10 | | maxNameDensity | 1.05 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Blackwood | 1 | | Europe | 1 | | Rory | 9 | | Carter | 1 | | Silas | 11 | | Evan | 10 | | Cardiff | 1 | | Soho | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Blackwood" | | 3 | "Rory" | | 4 | "Carter" | | 5 | "Silas" | | 6 | "Evan" |
| | places | | 0 | "Europe" | | 1 | "Cardiff" | | 2 | "Soho" |
| | globalScore | 0.976 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | 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 | 1639 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 127 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 34.15 | | std | 19.45 | | cv | 0.57 | | sampleLengths | | 0 | 78 | | 1 | 86 | | 2 | 7 | | 3 | 51 | | 4 | 61 | | 5 | 14 | | 6 | 22 | | 7 | 41 | | 8 | 43 | | 9 | 33 | | 10 | 51 | | 11 | 13 | | 12 | 36 | | 13 | 16 | | 14 | 16 | | 15 | 60 | | 16 | 42 | | 17 | 12 | | 18 | 24 | | 19 | 12 | | 20 | 29 | | 21 | 9 | | 22 | 1 | | 23 | 53 | | 24 | 18 | | 25 | 31 | | 26 | 23 | | 27 | 41 | | 28 | 35 | | 29 | 9 | | 30 | 58 | | 31 | 28 | | 32 | 5 | | 33 | 58 | | 34 | 16 | | 35 | 32 | | 36 | 26 | | 37 | 23 | | 38 | 31 | | 39 | 51 | | 40 | 29 | | 41 | 55 | | 42 | 58 | | 43 | 47 | | 44 | 33 | | 45 | 31 | | 46 | 60 | | 47 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 187 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 3 | | flaggedSentences | 8 | | totalSentences | 127 | | ratio | 0.063 | | matches | | 0 | "She slid onto a stool two down from the only other customer—an older man in a charcoal coat whose glass looked untouched." | | 1 | "The older man turned his head; the movement was small, but the bar seemed to hold its breath for it." | | 2 | "She studied his face—new lines at the corners of the eyes, new weight to the shoulders—and exhaled once through her nose." | | 3 | "Evan—though he looked little like the Evan she had left in Cardiff—shifted on his stool to face her." | | 4 | "The limp made each step slightly longer on the left; the rhythm was familiar to him, a metronome he no longer noticed." | | 5 | "“I know. I know that now.” His voice had lost its earlier steadiness; something raw had come through." | | 6 | "When he passed again he left a small bowl of roasted almonds between them—an old bar habit, an offer of ordinary comfort." | | 7 | "Inside, the maps on the wall stayed where they were—old borders, old names—while the clock kept its measured count of minutes that would not unwind." |
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| 94.59% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1061 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.046182846371347785 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.012252591894439209 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 12.91 | | std | 8.38 | | cv | 0.649 | | sampleLengths | | 0 | 26 | | 1 | 14 | | 2 | 19 | | 3 | 19 | | 4 | 19 | | 5 | 3 | | 6 | 24 | | 7 | 20 | | 8 | 20 | | 9 | 7 | | 10 | 6 | | 11 | 23 | | 12 | 22 | | 13 | 20 | | 14 | 17 | | 15 | 24 | | 16 | 4 | | 17 | 10 | | 18 | 21 | | 19 | 1 | | 20 | 14 | | 21 | 11 | | 22 | 16 | | 23 | 11 | | 24 | 18 | | 25 | 7 | | 26 | 7 | | 27 | 8 | | 28 | 20 | | 29 | 5 | | 30 | 11 | | 31 | 36 | | 32 | 4 | | 33 | 5 | | 34 | 4 | | 35 | 4 | | 36 | 3 | | 37 | 11 | | 38 | 22 | | 39 | 3 | | 40 | 4 | | 41 | 5 | | 42 | 4 | | 43 | 8 | | 44 | 8 | | 45 | 14 | | 46 | 32 | | 47 | 14 | | 48 | 5 | | 49 | 16 |
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| 46.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.2992125984251969 | | totalSentences | 127 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 79.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 88 | | matches | | 0 | "He wiped a glass, set" | | 1 | "She wore a delivery jacket" | | 2 | "She stood five-six at most" | | 3 | "She pushed the jacket sleeves" | | 4 | "She slid onto a stool" | | 5 | "She studied his face—new lines" | | 6 | "She ordered a house whiskey," | | 7 | "His coat sleeve whispered against" | | 8 | "Her voice was level, the" | | 9 | "He gave a short laugh" | | 10 | "He paused, thumb circling the" | | 11 | "he finished quietly" | | 12 | "She set the glass down" | | 13 | "He looked down at his" | | 14 | "He rubbed his right thumb" | | 15 | "She had expected more bluster," | | 16 | "She gestured with her chin" | | 17 | "She nodded once." | | 18 | "She met his eyes for" | | 19 | "He absorbed the words like" |
| | ratio | 0.352 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 88 | | matches | | 0 | "The Raven’s Nest held its" | | 1 | "A single green neon letter" | | 2 | "Silas Blackwood moved behind the" | | 3 | "He wiped a glass, set" | | 4 | "The door opened, letting in" | | 5 | "Silas glanced up." | | 6 | "The woman who stepped inside" | | 7 | "She wore a delivery jacket" | | 8 | "She stood five-six at most" | | 9 | "Silas said, voice low and" | | 10 | "Rory Carter gave a small" | | 11 | "She pushed the jacket sleeves" | | 12 | "She slid onto a stool" | | 13 | "The older man turned his" | | 14 | "Silas watched the recognition arrive" | | 15 | "The man’s hair had gone" | | 16 | "the man said" | | 17 | "The name came out careful," | | 18 | "She studied his face—new lines" | | 19 | "The name felt wrong in" |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 88 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "The woman who stepped inside was not the sort of patron who usually paused to read the black-and-white map of Europe above the door." | | 1 | "She stood five-six at most and carried herself with the deliberate stillness of someone who measured rooms before crossing them." | | 2 | "Her voice was level, the same level she used when speaking to customers who insisted the curry was too hot." |
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| 56.82% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 3 | | matches | | 0 | "Silas said, voice low and even" | | 1 | "He paused, thumb circling the rim of his glass" | | 2 | "she cut in, voice still low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "she corrected (correct)" |
| | dialogueSentences | 52 | | tagDensity | 0.154 | | leniency | 0.308 | | rawRatio | 0.125 | | effectiveRatio | 0.038 | |