| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.361 | | leniency | 0.722 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1378 | | totalAiIsmAdverbs | 3 | | 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) | |
| 81.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1378 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "stomach" | | 1 | "whisper" | | 2 | "warmth" | | 3 | "chill" |
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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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1391 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1149 | | uniqueNames | 15 | | maxNameDensity | 1.22 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | November | 2 | | Yu-Fei | 10 | | Rory | 14 | | Fae | 2 | | Cheung | 1 | | Nyx | 7 | | Cardiff | 1 | | September | 1 | | May | 1 | | Heartstone | 1 | | Farringdon | 1 | | Seer | 1 | | Isolde | 2 |
| | persons | | 0 | "Yu-Fei" | | 1 | "Rory" | | 2 | "Cheung" | | 3 | "Nyx" | | 4 | "Seer" | | 5 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Cardiff" |
| | globalScore | 0.891 | | windowScore | 0.833 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like any of the other trees in Ric" | | 1 | "not-quite there flowing across the flowers like the shadow of a bird" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.719 | | wordCount | 1391 | | matches | | 0 | "not the clean drop of stepping into shade but a sideways slide, as though the air had been swapped out for" |
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| 76.58% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 111 | | matches | | 0 | "understood that the" | | 1 | "was that the" | | 2 | "chose that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 28.39 | | std | 30.25 | | cv | 1.066 | | sampleLengths | | 0 | 4 | | 1 | 90 | | 2 | 5 | | 3 | 54 | | 4 | 4 | | 5 | 3 | | 6 | 18 | | 7 | 68 | | 8 | 12 | | 9 | 7 | | 10 | 3 | | 11 | 92 | | 12 | 12 | | 13 | 7 | | 14 | 41 | | 15 | 116 | | 16 | 23 | | 17 | 12 | | 18 | 55 | | 19 | 9 | | 20 | 47 | | 21 | 7 | | 22 | 13 | | 23 | 24 | | 24 | 75 | | 25 | 2 | | 26 | 1 | | 27 | 5 | | 28 | 66 | | 29 | 6 | | 30 | 72 | | 31 | 9 | | 32 | 8 | | 33 | 77 | | 34 | 3 | | 35 | 1 | | 36 | 30 | | 37 | 40 | | 38 | 2 | | 39 | 67 | | 40 | 19 | | 41 | 13 | | 42 | 4 | | 43 | 14 | | 44 | 3 | | 45 | 78 | | 46 | 6 | | 47 | 20 | | 48 | 44 |
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| 78.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 92 | | matches | | 0 | "been swapped" | | 1 | "was supposed" | | 2 | "was supposed" | | 3 | "was supposed" | | 4 | "been told" | | 5 | "got used" | | 6 | "got used" |
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| 70.55% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 206 | | matches | | 0 | "wasn't letting" | | 1 | "was pointing" | | 2 | "were filling" | | 3 | "was already walking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 111 | | ratio | 0.072 | | matches | | 0 | "From twenty feet back they'd looked like any of the other trees in Richmond Park — hoary, arthritic things, bark like elephant hide, the sort of trunk you'd lean a bicycle against." | | 1 | "The temperature changed first, and it changed wrong — not the clean drop of stepping into shade but a sideways slide, as though the air had been swapped out for other air while she blinked." | | 2 | "The sky above was a soft, pearled nothing — not overcast, not clear, just an absence politely agreeing to be a sky." | | 3 | "Nyx left nothing at all, but Nyx wouldn't; Nyx was six foot two of ambulatory dusk and weighed roughly as much as a rumour." | | 4 | "It wasn't sound, exactly — it was more like the sensation of a held note in a stone church, when the organ has stopped but the building hasn't finished thinking about it." | | 5 | "It had been resting between her collarbones since May — the Heartstone, crimson, thumbnail-sized, warm on its silver chain the way a swallowed mouthful of tea is warm." | | 6 | "A face that Rory's eye kept trying to age and kept failing — twenty, then fifty, then something with no number on it — and eyes the pale washed lavender of the inside of a shell." | | 7 | "Rory tucked the cold pendant back against her skin, felt the Fae blade's chill through the canvas of her jacket where it hung at her hip — moonsilver, always cold, the one cold thing in the world she trusted — and followed her in." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1158 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.037996545768566495 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008635578583765112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 12.53 | | std | 11.96 | | cv | 0.954 | | sampleLengths | | 0 | 4 | | 1 | 15 | | 2 | 32 | | 3 | 26 | | 4 | 6 | | 5 | 11 | | 6 | 5 | | 7 | 22 | | 8 | 7 | | 9 | 25 | | 10 | 4 | | 11 | 3 | | 12 | 4 | | 13 | 4 | | 14 | 10 | | 15 | 16 | | 16 | 4 | | 17 | 46 | | 18 | 2 | | 19 | 3 | | 20 | 9 | | 21 | 7 | | 22 | 3 | | 23 | 35 | | 24 | 5 | | 25 | 32 | | 26 | 20 | | 27 | 2 | | 28 | 1 | | 29 | 9 | | 30 | 7 | | 31 | 16 | | 32 | 22 | | 33 | 3 | | 34 | 20 | | 35 | 7 | | 36 | 7 | | 37 | 66 | | 38 | 4 | | 39 | 12 | | 40 | 10 | | 41 | 3 | | 42 | 2 | | 43 | 8 | | 44 | 7 | | 45 | 5 | | 46 | 23 | | 47 | 2 | | 48 | 6 | | 49 | 24 |
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| 67.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4594594594594595 | | totalSentences | 111 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 79 | | matches | | 0 | "Twice she thought she heard" | | 1 | "Once, a phrase of music" | | 2 | "Only the eyes stayed constant:" | | 3 | "Simply none, and never had" |
| | ratio | 0.051 | |
| 98.48% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 79 | | matches | | 0 | "Their voice came from behind" | | 1 | "She dropped her hand." | | 2 | "She had been reaching." | | 3 | "Her fingers had a mind" | | 4 | "She'd insisted on coming." | | 5 | "She'd made a great deal" | | 6 | "It was supposed to have" | | 7 | "It was supposed to know" | | 8 | "She crouched and put her" | | 9 | "It was warm." | | 10 | "She looked where Yu-Fei was" | | 11 | "Hers, size six, Yu-Fei's, size" | | 12 | "It wasn't sound, exactly —" | | 13 | "They had gone almost entirely" | | 14 | "She glanced at the shadow." | | 15 | "It offered nothing else." | | 16 | "It had been resting between" | | 17 | "She'd got used to it." | | 18 | "She'd got used to it" | | 19 | "She had never once, in" |
| | ratio | 0.304 | |
| 86.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 79 | | matches | | 0 | "The oaks weren't oaks." | | 1 | "Rory understood that the moment" | | 2 | "Stones that had been dreaming," | | 3 | "Their voice came from behind" | | 4 | "Rory had learned to stop" | | 5 | "Nyx moved through a November" | | 6 | "She dropped her hand." | | 7 | "She had been reaching." | | 8 | "Her fingers had a mind" | | 9 | "She'd insisted on coming." | | 10 | "She'd made a great deal" | | 11 | "Yu-Fei tucked her hands into" | | 12 | "Rory stepped through." | | 13 | "The temperature changed first, and" | | 14 | "November went out of it." | | 15 | "The wet-newspaper smell of the" | | 16 | "The clearing was maybe forty" | | 17 | "The sky above was a" | | 18 | "Rory had grown up with" | | 19 | "It was supposed to have" |
| | ratio | 0.747 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "If someone had distilled the" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "The temperature changed first, and it changed wrong — not the clean drop of stepping into shade but a sideways slide, as though the air had been swapped out for…" | | 1 | "Here, bluebells stood shoulder to shoulder with September asters, and foxgloves that should have been dead six weeks ago pushed up between snowdrops, and there …" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.194 | | leniency | 0.389 | | rawRatio | 0 | | effectiveRatio | 0 | |