| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 858 | | totalAiIsmAdverbs | 2 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 858 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "stark" | | 3 | "chill" | | 4 | "echoed" | | 5 | "perfect" | | 6 | "quickened" | | 7 | "whisper" | | 8 | "footsteps" | | 9 | "pulse" | | 10 | "footfall" | | 11 | "familiar" | | 12 | "weight" | | 13 | "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 | 82 | | matches | (empty) | |
| 38.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 863 | | ratio | 0 | | matches | (empty) | |
| 75.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 1 | | matches | | 0 | "Something touched her hair — a leaf, she told herself, just a leaf — but when she reached up, her fingers met nothing." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 841 | | uniqueNames | 10 | | maxNameDensity | 0.95 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 8 | | Richmond | 1 | | Park | 1 | | Evan | 5 | | Cardiff | 2 | | Fae | 1 | | Grove | 1 | | Footsteps | 1 | | Eva | 2 | | London | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "Fae" | | 4 | "Grove" | | 5 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | 0 | "oaks that seemed to lean inward, their branches forming dark archways overhead" |
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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 | 863 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 22.71 | | std | 13.68 | | cv | 0.603 | | sampleLengths | | 0 | 36 | | 1 | 44 | | 2 | 48 | | 3 | 49 | | 4 | 11 | | 5 | 14 | | 6 | 31 | | 7 | 7 | | 8 | 45 | | 9 | 20 | | 10 | 1 | | 11 | 24 | | 12 | 30 | | 13 | 16 | | 14 | 14 | | 15 | 23 | | 16 | 28 | | 17 | 2 | | 18 | 27 | | 19 | 20 | | 20 | 23 | | 21 | 26 | | 22 | 31 | | 23 | 18 | | 24 | 1 | | 25 | 27 | | 26 | 2 | | 27 | 40 | | 28 | 6 | | 29 | 27 | | 30 | 35 | | 31 | 21 | | 32 | 33 | | 33 | 6 | | 34 | 11 | | 35 | 39 | | 36 | 25 | | 37 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 136 | | matches | (empty) | |
| 11.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 87 | | ratio | 0.046 | | matches | | 0 | "The message had been clear — come at midnight, alone." | | 1 | "Wild flowers dotted the grass, their colours wrong in the crimson glow — blues too deep, whites too stark." | | 2 | "Something touched her hair — a leaf, she told herself, just a leaf — but when she reached up, her fingers met nothing." | | 3 | "They carried scents — her mother's perfume, Eva's cigarettes, Evan's aftershave — each one corrupted by an underlying sweetness like rotting fruit." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 836 | | adjectiveStacks | 1 | | stackExamples | | 0 | "right, revealing ancient oaks" |
| | adverbCount | 29 | | adverbRatio | 0.034688995215311005 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007177033492822967 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 9.92 | | std | 5.93 | | cv | 0.597 | | sampleLengths | | 0 | 14 | | 1 | 22 | | 2 | 8 | | 3 | 7 | | 4 | 19 | | 5 | 10 | | 6 | 15 | | 7 | 20 | | 8 | 13 | | 9 | 4 | | 10 | 18 | | 11 | 20 | | 12 | 7 | | 13 | 3 | | 14 | 8 | | 15 | 7 | | 16 | 7 | | 17 | 19 | | 18 | 12 | | 19 | 3 | | 20 | 4 | | 21 | 9 | | 22 | 17 | | 23 | 19 | | 24 | 7 | | 25 | 13 | | 26 | 1 | | 27 | 12 | | 28 | 12 | | 29 | 4 | | 30 | 12 | | 31 | 14 | | 32 | 6 | | 33 | 10 | | 34 | 12 | | 35 | 2 | | 36 | 1 | | 37 | 2 | | 38 | 2 | | 39 | 18 | | 40 | 15 | | 41 | 13 | | 42 | 2 | | 43 | 4 | | 44 | 6 | | 45 | 16 | | 46 | 1 | | 47 | 12 | | 48 | 8 | | 49 | 23 |
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| 62.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.41379310344827586 | | totalSentences | 87 | | uniqueOpeners | 36 | |
| 45.05% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 74 | | matches | | 0 | "Only then did she realise" |
| | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 74 | | matches | | 0 | "Her delivery uniform offered little" | | 1 | "Her phone buzzed." | | 2 | "She pocketed the useless device" | | 3 | "It had to be." | | 4 | "She spun, but the shadows" | | 5 | "Her voice sounded flat, as" | | 6 | "Her name, perhaps, or something" | | 7 | "Her words fell dead in" | | 8 | "It held the same cadence" | | 9 | "They seemed to pulse in" | | 10 | "Her back hit rough stone." | | 11 | "It used Evan's voice, but" | | 12 | "Her mother's laugh." | | 13 | "Her father's morning greeting." | | 14 | "Her foot caught on something" | | 15 | "They carried scents — her" | | 16 | "It wore Evan's old rugby" | | 17 | "it said in his voice," | | 18 | "She ran until the shadows" | | 19 | "She ran until the park's" |
| | ratio | 0.27 | |
| 47.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 74 | | matches | | 0 | "The pendant pulsed against Aurora's" | | 1 | "Warmth radiated from the crimson" | | 2 | "The words formed clouds in" | | 3 | "Her delivery uniform offered little" | | 4 | "The message had been clear" | | 5 | "Gravel crunched beneath her trainers" | | 6 | "The beam of her torch" | | 7 | "A fox's bark echoed from" | | 8 | "The pendant's warmth intensified." | | 9 | "Aurora pulled it from beneath" | | 10 | "The mysterious package that had" | | 11 | "Her phone buzzed." | | 12 | "The screen showed only static" | | 13 | "She pocketed the useless device" | | 14 | "The pendant's glow would have" | | 15 | "The path curved sharply right," | | 16 | "The Fae Grove." | | 17 | "It had to be." | | 18 | "Aurora's steps slowed as she" | | 19 | "The pendant burned against her" |
| | ratio | 0.824 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "The mysterious package that had contained it last week had promised answers about Evan, about why he'd really left Cardiff." | | 1 | "The path curved sharply right, revealing ancient oaks that seemed to lean inward, their branches forming dark archways overhead." | | 2 | "The pendant burned against her palm, its light pulsing in an erratic rhythm that matched her heartbeat." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 9 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0.5 | | effectiveRatio | 0.222 | |