| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.314 | | leniency | 0.629 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 999 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "perfectly" | | 2 | "really" |
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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) | |
| 59.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 999 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "silence" | | 1 | "echoed" | | 2 | "familiar" | | 3 | "weight" | | 4 | "throbbed" | | 5 | "pulse" | | 6 | "rhythmic" |
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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) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 991 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 720 | | uniqueNames | 20 | | maxNameDensity | 1.11 | | worstName | "Silas" | | maxWindowNameDensity | 3 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Golden | 1 | | Empress | 1 | | Prague | 1 | | Soho | 1 | | Weetabix | 1 | | London | 1 | | Eva | 2 | | Camberwell | 1 | | Rory | 6 | | Silas | 8 | | Baedeker | 1 | | Czech | 1 | | Republic | 1 | | Evan | 6 | | Savile | 1 | | Row | 1 | | Pre-Law | 1 | | Seven | 3 |
| | persons | | 0 | "Raven" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Baedeker" | | 5 | "Evan" |
| | places | | 0 | "Golden" | | 1 | "Prague" | | 2 | "Soho" | | 3 | "London" | | 4 | "Camberwell" | | 5 | "Czech" | | 6 | "Republic" |
| | globalScore | 0.944 | | windowScore | 0.667 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a different species of danger" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 991 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 23.6 | | std | 23.25 | | cv | 0.986 | | sampleLengths | | 0 | 47 | | 1 | 58 | | 2 | 1 | | 3 | 8 | | 4 | 1 | | 5 | 25 | | 6 | 6 | | 7 | 50 | | 8 | 5 | | 9 | 3 | | 10 | 4 | | 11 | 7 | | 12 | 85 | | 13 | 9 | | 14 | 4 | | 15 | 10 | | 16 | 59 | | 17 | 4 | | 18 | 2 | | 19 | 11 | | 20 | 13 | | 21 | 13 | | 22 | 37 | | 23 | 28 | | 24 | 9 | | 25 | 22 | | 26 | 52 | | 27 | 8 | | 28 | 8 | | 29 | 67 | | 30 | 24 | | 31 | 18 | | 32 | 56 | | 33 | 32 | | 34 | 2 | | 35 | 56 | | 36 | 11 | | 37 | 15 | | 38 | 26 | | 39 | 3 | | 40 | 80 | | 41 | 12 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 70 | | matches | | 0 | "been nineteen" | | 1 | "been herded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 120 | | matches | (empty) | |
| 82.07% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 94 | | ratio | 0.021 | | matches | | 0 | "The silver signet ring on his right hand caught the green neon glow from above the door—The Raven's Nest—and threw phosphorescent shards across the old maps lining the walls." | | 1 | "The smell hit her first—copper, sharp and recent." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 729 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.0205761316872428 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0054869684499314125 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 10.54 | | std | 9.34 | | cv | 0.886 | | sampleLengths | | 0 | 7 | | 1 | 33 | | 2 | 7 | | 3 | 15 | | 4 | 14 | | 5 | 29 | | 6 | 1 | | 7 | 5 | | 8 | 3 | | 9 | 1 | | 10 | 19 | | 11 | 6 | | 12 | 6 | | 13 | 11 | | 14 | 13 | | 15 | 12 | | 16 | 14 | | 17 | 5 | | 18 | 3 | | 19 | 4 | | 20 | 7 | | 21 | 6 | | 22 | 25 | | 23 | 18 | | 24 | 36 | | 25 | 5 | | 26 | 4 | | 27 | 4 | | 28 | 10 | | 29 | 16 | | 30 | 43 | | 31 | 4 | | 32 | 2 | | 33 | 11 | | 34 | 13 | | 35 | 2 | | 36 | 5 | | 37 | 6 | | 38 | 4 | | 39 | 4 | | 40 | 29 | | 41 | 5 | | 42 | 23 | | 43 | 3 | | 44 | 3 | | 45 | 3 | | 46 | 22 | | 47 | 15 | | 48 | 3 | | 49 | 20 |
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| 43.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.32978723404255317 | | totalSentences | 94 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 64.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 59 | | matches | | 0 | "He didn't ask which one." | | 1 | "He never had." | | 2 | "She shifted the bags from" | | 3 | "She saw his gaze track" | | 4 | "She'd been nineteen then, full" | | 5 | "It wasn't a question." | | 6 | "He moved then, the scrape" | | 7 | "He smelled of sandalwood and" | | 8 | "She hadn't told him." | | 9 | "She hadn't told anyone in" | | 10 | "He turned away, limping toward" | | 11 | "Her heart hammered." | | 12 | "She'd thought him retired." | | 13 | "His fingers found a Baedeker" | | 14 | "His Savile Row suit hung" | | 15 | "Her breath stopped." | | 16 | "He produced a mobile phone," | | 17 | "She watched the pages curl" | | 18 | "He limped into the back" | | 19 | "He looked at Rory." |
| | ratio | 0.39 | |
| 27.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 59 | | matches | | 0 | "Rory recognised the limp before" | | 1 | "The left leg dragged slightly," | | 2 | "The man behind the oak" | | 3 | "The hazel eyes hadn't aged," | | 4 | "The silver signet ring on" | | 5 | "He didn't ask which one." | | 6 | "He never had." | | 7 | "The glass in his hand" | | 8 | "She shifted the bags from" | | 9 | "The crescent-shaped scar on her" | | 10 | "She saw his gaze track" | | 11 | "The air in the bar" | | 12 | "A muscle jumped in his" | | 13 | "The limp was worse than" | | 14 | "She'd been nineteen then, full" | | 15 | "It wasn't a question." | | 16 | "He moved then, the scrape" | | 17 | "He smelled of sandalwood and" | | 18 | "The space between them contracted." | | 19 | "The takeaway bags crackled." |
| | ratio | 0.864 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 59 | | matches | | | ratio | 0.017 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "The glass in his hand met the counter with a clink that echoed off black-and-white photographs of forgotten cities." | | 1 | "Now she stood in a Soho dive at twenty-five, smelling of sesame oil and sweat, and the man who used to sneak her encrypted puzzles at the kitchen table looked l…" | | 2 | "Seven years of her believing she'd escaped alone, clever and brave, when really she'd been herded here by networks and favours owed, deposited above a bar run b…" |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "He limped, the scrape of his foot rhythmic as a metronome" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 35 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.1 | | effectiveRatio | 0.057 | |