| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.88% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 976 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 59.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 976 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulsed" | | 1 | "throb" | | 2 | "magnetic" | | 3 | "echoing" | | 4 | "weight" | | 5 | "familiar" | | 6 | "etched" | | 7 | "shimmered" |
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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 | 76 | | matches | (empty) | |
| 86.47% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 76 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 972 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 85.65% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 777 | | uniqueNames | 7 | | maxNameDensity | 1.29 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Hendon | 1 | | Morris | 3 | | Northern | 1 | | Line | 1 | | Quinn | 10 | | London | 1 | | Camden | 1 |
| | persons | | | places | | | globalScore | 0.856 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "verdigris that seemed to shift in the lamplight, almost glowing" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 4.115 | | wordCount | 972 | | matches | | 0 | "not pointing north, not pointing anywhere magnetic, but circling toward the tunnel's deepest shadow" | | 1 | "not pointing anywhere magnetic, but circling toward the tunnel's deepest shadow" | | 2 | "Not of a heart attack, not of an accident, but of proximity to something his human mind couldn't process" | | 3 | "not of an accident, but of proximity to something his human mind couldn't process" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 97 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 22.09 | | std | 21.04 | | cv | 0.953 | | sampleLengths | | 0 | 49 | | 1 | 5 | | 2 | 11 | | 3 | 29 | | 4 | 41 | | 5 | 1 | | 6 | 76 | | 7 | 14 | | 8 | 2 | | 9 | 1 | | 10 | 21 | | 11 | 67 | | 12 | 3 | | 13 | 16 | | 14 | 1 | | 15 | 32 | | 16 | 35 | | 17 | 8 | | 18 | 58 | | 19 | 4 | | 20 | 5 | | 21 | 3 | | 22 | 19 | | 23 | 50 | | 24 | 8 | | 25 | 41 | | 26 | 22 | | 27 | 6 | | 28 | 10 | | 29 | 2 | | 30 | 50 | | 31 | 7 | | 32 | 3 | | 33 | 32 | | 34 | 7 | | 35 | 40 | | 36 | 59 | | 37 | 7 | | 38 | 46 | | 39 | 15 | | 40 | 2 | | 41 | 50 | | 42 | 2 | | 43 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 137 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 97 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 781 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.02560819462227913 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010243277848911651 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 10.02 | | std | 7.43 | | cv | 0.742 | | sampleLengths | | 0 | 19 | | 1 | 30 | | 2 | 5 | | 3 | 4 | | 4 | 7 | | 5 | 17 | | 6 | 12 | | 7 | 33 | | 8 | 8 | | 9 | 1 | | 10 | 8 | | 11 | 15 | | 12 | 20 | | 13 | 33 | | 14 | 8 | | 15 | 6 | | 16 | 2 | | 17 | 1 | | 18 | 7 | | 19 | 8 | | 20 | 6 | | 21 | 9 | | 22 | 21 | | 23 | 11 | | 24 | 19 | | 25 | 3 | | 26 | 4 | | 27 | 3 | | 28 | 7 | | 29 | 9 | | 30 | 1 | | 31 | 32 | | 32 | 14 | | 33 | 1 | | 34 | 8 | | 35 | 12 | | 36 | 8 | | 37 | 16 | | 38 | 16 | | 39 | 26 | | 40 | 4 | | 41 | 5 | | 42 | 3 | | 43 | 4 | | 44 | 15 | | 45 | 5 | | 46 | 3 | | 47 | 3 | | 48 | 5 | | 49 | 23 |
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| 80.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5154639175257731 | | totalSentences | 97 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 69 | | matches | | 0 | "She didn't look up." | | 1 | "She pointed to the brickwork" | | 2 | "They pulsed with a rhythm" | | 3 | "She circled the platform, her" | | 4 | "She produced a pen from" | | 5 | "It pointed now, sharp and" | | 6 | "They walked the platform's length," | | 7 | "She stepped through, the compass" | | 8 | "Her shoes crunched on small" |
| | ratio | 0.13 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 69 | | matches | | 0 | "Quinn crouched by the contorted" | | 1 | "The neck twisted at angles" | | 2 | "She didn't look up." | | 3 | "The uniformed officer hovered at" | | 4 | "Quinn stood, her military precision" | | 5 | "She pointed to the brickwork" | | 6 | "The symbols meant nothing to" | | 7 | "They pulsed with a rhythm" | | 8 | "The constable stepped closer, boots" | | 9 | "Quinn pressed her palm against" | | 10 | "The scratches radiated heat like" | | 11 | "She circled the platform, her" | | 12 | "The abandoned Northern Line tunnel" | | 13 | "The dust on the floor" | | 14 | "the constable consulted his notebook" | | 15 | "Quinn's salt-and-pepper hair caught the" | | 16 | "She produced a pen from" | | 17 | "A small brass compass fell" | | 18 | "The casing wore a patina" | | 19 | "The face bore etchings, protective" |
| | ratio | 0.667 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 61.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 4 | | matches | | 0 | "Five distinct depressions in the grime, equally spaced, as if something heavy and regular had stood here until recently." | | 1 | "The casing wore a patina of verdigris that seemed to shift in the lamplight, almost glowing." | | 2 | "The face bore etchings, protective sigils that stung her retinas when she looked directly at them." | | 3 | "Empty stalls lined the curved walls, wooden structures that smelled of cedar and old magic." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "the constable whispered (whisper)" |
| | dialogueSentences | 28 | | tagDensity | 0.107 | | leniency | 0.214 | | rawRatio | 0.333 | | effectiveRatio | 0.071 | |