| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1073 | | 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) | |
| 30.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1073 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "familiar" | | 1 | "warmth" | | 2 | "echo" | | 3 | "silence" | | 4 | "pulse" | | 5 | "lurching" | | 6 | "stomach" | | 7 | "whisper" | | 8 | "trembled" | | 9 | "scanning" |
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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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1073 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 1053 | | uniqueNames | 6 | | maxNameDensity | 0.38 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Eva | 2 | | Rory | 4 | | November | 2 | | English | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "d been locked, obviously" |
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| 13.61% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.864 | | wordCount | 1073 | | matches | | 0 | "Not gradually, the way it does when clouds shift, but all at once, a wall of cold" | | 1 | "Not empty at all, she realised, but full, crowded with a listening quality, as though the grove" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 33.53 | | std | 25.63 | | cv | 0.764 | | sampleLengths | | 0 | 4 | | 1 | 56 | | 2 | 62 | | 3 | 60 | | 4 | 7 | | 5 | 12 | | 6 | 24 | | 7 | 11 | | 8 | 80 | | 9 | 4 | | 10 | 84 | | 11 | 12 | | 12 | 25 | | 13 | 12 | | 14 | 27 | | 15 | 58 | | 16 | 48 | | 17 | 5 | | 18 | 36 | | 19 | 14 | | 20 | 62 | | 21 | 4 | | 22 | 55 | | 23 | 54 | | 24 | 1 | | 25 | 3 | | 26 | 24 | | 27 | 50 | | 28 | 77 | | 29 | 59 | | 30 | 21 | | 31 | 22 |
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| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 80 | | matches | | 0 | "been locked" | | 1 | "were gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 183 | | matches | | 0 | "wasn't laughing" | | 1 | "was training" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 84 | | ratio | 0 | | matches | (empty) | |
| 90.17% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1054 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 54 | | adverbRatio | 0.051233396584440226 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011385199240986717 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 12.77 | | std | 11.73 | | cv | 0.918 | | sampleLengths | | 0 | 4 | | 1 | 31 | | 2 | 15 | | 3 | 7 | | 4 | 3 | | 5 | 5 | | 6 | 3 | | 7 | 30 | | 8 | 1 | | 9 | 3 | | 10 | 20 | | 11 | 7 | | 12 | 19 | | 13 | 3 | | 14 | 31 | | 15 | 7 | | 16 | 9 | | 17 | 3 | | 18 | 6 | | 19 | 2 | | 20 | 2 | | 21 | 14 | | 22 | 11 | | 23 | 33 | | 24 | 23 | | 25 | 9 | | 26 | 10 | | 27 | 5 | | 28 | 4 | | 29 | 21 | | 30 | 26 | | 31 | 2 | | 32 | 11 | | 33 | 24 | | 34 | 3 | | 35 | 9 | | 36 | 11 | | 37 | 14 | | 38 | 3 | | 39 | 9 | | 40 | 4 | | 41 | 23 | | 42 | 27 | | 43 | 15 | | 44 | 3 | | 45 | 7 | | 46 | 3 | | 47 | 3 | | 48 | 8 | | 49 | 36 |
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| 59.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.40476190476190477 | | totalSentences | 84 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 72 | | matches | | 0 | "Just silence pressing in from" | | 1 | "Just a clearing that shouldn't" | | 2 | "Just black space between the" | | 3 | "Too tall to be a" | | 4 | "Then, behind her, close enough" |
| | ratio | 0.069 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 72 | | matches | | 0 | "She hadn't felt it do" | | 1 | "She'd only come to check." | | 2 | "It still didn't." | | 3 | "She didn't remember them being" | | 4 | "she said, mostly to hear" | | 5 | "She stepped between two of" | | 6 | "She'd heard Eva talk about" | | 7 | "She wasn't laughing now." | | 8 | "She turned in a slow" | | 9 | "She spun towards it, heart" | | 10 | "She didn't believe herself." | | 11 | "She made herself move further" | | 12 | "She followed it." | | 13 | "She'd counted maybe thirty paces" | | 14 | "she said, and her voice" | | 15 | "She'd have written it off" | | 16 | "She held very still." | | 17 | "Her pulse hammered loud enough" | | 18 | "She wished it hadn't." | | 19 | "It had gone warm again," |
| | ratio | 0.333 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 72 | | matches | | 0 | "The pendant burned first." | | 1 | "Rory pressed her palm over" | | 2 | "The crimson stone glowed against" | | 3 | "She hadn't felt it do" | | 4 | "She'd only come to check." | | 5 | "That was all." | | 6 | "The park gates had been" | | 7 | "It still didn't." | | 8 | "She didn't remember them being" | | 9 | "she said, mostly to hear" | | 10 | "The grove swallowed the word" | | 11 | "She stepped between two of" | | 12 | "Wildflowers carpeted the ground past" | | 13 | "She'd heard Eva talk about" | | 14 | "Some hidden pocket where the" | | 15 | "Rory had laughed at her." | | 16 | "She wasn't laughing now." | | 17 | "The pendant cooled the moment" | | 18 | "She turned in a slow" | | 19 | "A twig snapped." |
| | ratio | 0.694 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 7.72% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 7 | | matches | | 0 | "Rory pressed her palm over it through her jumper, expecting the familiar warmth, but this went further, an insistent heat that made her hiss and yank the chain …" | | 1 | "Wildflowers carpeted the ground past the stones, absurd for the season, purples and yellows glowing faintly as if lit from beneath the soil." | | 2 | "The pendant cooled the moment she crossed the threshold, its glow dimming to a resting pulse, as though satisfied she'd arrived." | | 3 | "Just a clearing that shouldn't hold flowers in November, silent in a way that made her ears strain for something, anything, to latch onto." | | 4 | "Not empty at all, she realised, but full, crowded with a listening quality, as though the grove itself had turned its attention towards her and gone quiet to he…" | | 5 | "The silence that followed felt worse, expectant, the kind of quiet that comes right before someone grabs you from behind." | | 6 | "Later, she'd wonder why not, whether it was training or shock or something the grove itself did to her legs, but in that moment she simply stood, pendant scaldi…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.333 | | effectiveRatio | 0.286 | |