| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1813 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "very" | | 3 | "tightly" |
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| 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) | |
| 58.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1813 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "pulse" | | 3 | "echo" | | 4 | "pulsed" | | 5 | "warmth" | | 6 | "depths" | | 7 | "measured" | | 8 | "vibrated" | | 9 | "stomach" | | 10 | "perfect" | | 11 | "lurched" | | 12 | "throbbed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 222 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 222 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 234 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1811 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1760 | | uniqueNames | 11 | | maxNameDensity | 1.02 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Park | 2 | | Grove | 2 | | October | 1 | | Heartstone | 1 | | Richmond | 2 | | Eva | 2 | | Silas | 1 | | Yu-Fei | 1 | | Aurora | 18 | | Tok | 3 | | One | 4 |
| | persons | | | places | | | globalScore | 0.989 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 126 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like something she still owned" |
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| 89.56% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.104 | | wordCount | 1811 | | matches | | 0 | "not down, but towards the black ring of earth" | | 1 | "not like soil this time, but like skin stretched over water" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 234 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 108 | | mean | 16.77 | | std | 18.05 | | cv | 1.077 | | sampleLengths | | 0 | 65 | | 1 | 8 | | 2 | 64 | | 3 | 39 | | 4 | 3 | | 5 | 48 | | 6 | 12 | | 7 | 28 | | 8 | 14 | | 9 | 6 | | 10 | 35 | | 11 | 4 | | 12 | 18 | | 13 | 5 | | 14 | 68 | | 15 | 5 | | 16 | 1 | | 17 | 38 | | 18 | 1 | | 19 | 2 | | 20 | 1 | | 21 | 6 | | 22 | 21 | | 23 | 2 | | 24 | 13 | | 25 | 2 | | 26 | 11 | | 27 | 8 | | 28 | 79 | | 29 | 17 | | 30 | 11 | | 31 | 9 | | 32 | 19 | | 33 | 4 | | 34 | 1 | | 35 | 9 | | 36 | 17 | | 37 | 30 | | 38 | 35 | | 39 | 37 | | 40 | 12 | | 41 | 7 | | 42 | 30 | | 43 | 10 | | 44 | 4 | | 45 | 44 | | 46 | 9 | | 47 | 6 | | 48 | 4 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 222 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 277 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 234 | | ratio | 0.009 | | matches | | 0 | "Wildflowers crowded the clearing in impossible colour for October—white starbursts, violet bells, pale gold heads that turned towards no sun at all." | | 1 | "Aurora turned towards it and caught the edge of a figure between the trunks—a woman in a pale dress, black hair hanging straight to her shoulders." |
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| 99.39% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1769 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 72 | | adverbRatio | 0.04070096099491238 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0033917467495760316 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 234 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 234 | | mean | 7.74 | | std | 6.04 | | cv | 0.78 | | sampleLengths | | 0 | 17 | | 1 | 24 | | 2 | 6 | | 3 | 2 | | 4 | 4 | | 5 | 7 | | 6 | 5 | | 7 | 8 | | 8 | 16 | | 9 | 22 | | 10 | 16 | | 11 | 5 | | 12 | 5 | | 13 | 10 | | 14 | 6 | | 15 | 8 | | 16 | 15 | | 17 | 3 | | 18 | 19 | | 19 | 10 | | 20 | 12 | | 21 | 2 | | 22 | 3 | | 23 | 2 | | 24 | 12 | | 25 | 6 | | 26 | 22 | | 27 | 14 | | 28 | 6 | | 29 | 5 | | 30 | 2 | | 31 | 4 | | 32 | 8 | | 33 | 16 | | 34 | 4 | | 35 | 9 | | 36 | 2 | | 37 | 7 | | 38 | 5 | | 39 | 8 | | 40 | 12 | | 41 | 14 | | 42 | 16 | | 43 | 2 | | 44 | 2 | | 45 | 14 | | 46 | 5 | | 47 | 1 | | 48 | 12 | | 49 | 4 |
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| 42.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 20 | | diversityRatio | 0.3076923076923077 | | totalSentences | 234 | | uniqueOpeners | 72 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 175 | | matches | | 0 | "Even the flowers seemed to" | | 1 | "Somewhere in the trees a" | | 2 | "More the memory of one" | | 3 | "Then three more." | | 4 | "Then a whole sweep of" | | 5 | "Just depressions appearing in the" | | 6 | "Then something high in the" | | 7 | "Just the clock, which now" | | 8 | "Then the light dimmed and" |
| | ratio | 0.051 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 175 | | matches | | 0 | "She stood still and let" | | 1 | "They formed no clean circle." | | 2 | "They leaned like crooked teeth." | | 3 | "Her breath smoked in front" | | 4 | "She shoved both hands into" | | 5 | "She had not come here" | | 6 | "She locked it and slipped" | | 7 | "She moved towards the stones." | | 8 | "Her boots sank into moss" | | 9 | "She crouched beside the nearest" | | 10 | "She rubbed her palm against" | | 11 | "She turned towards the sound." | | 12 | "Her voice came out level." | | 13 | "She laughed once, a dry" | | 14 | "She kept walking." | | 15 | "Their stems curved in a" | | 16 | "Her own reflection warped in" | | 17 | "It ran beneath the clearing" | | 18 | "She took two steps backwards" | | 19 | "Her throat closed." |
| | ratio | 0.246 | |
| 77.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 134 | | totalSentences | 175 | | matches | | 0 | "Aurora slipped through the gap" | | 1 | "Richmond Park lay somewhere beyond" | | 2 | "The city dropped away with" | | 3 | "The silence landed with weight." | | 4 | "She stood still and let" | | 5 | "The Grove spread before her" | | 6 | "Wildflowers crowded the clearing in" | | 7 | "The standing stones rose between" | | 8 | "They formed no clean circle." | | 9 | "They leaned like crooked teeth." | | 10 | "The Heartstone pendant rested against" | | 11 | "Her breath smoked in front" | | 12 | "She shoved both hands into" | | 13 | "The hedge wall sat where" | | 14 | "Aurora took one step towards" | | 15 | "She had not come here" | | 16 | "Eva had scrawled directions on" | | 17 | "Aurora pulled her phone out." | | 18 | "The screen showed 11:47." | | 19 | "She locked it and slipped" |
| | ratio | 0.766 | |
| 85.71% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 175 | | matches | | 0 | "Now it burned through cotton" | | 1 | "If the pendant heats up" | | 2 | "As if that counted as" |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 70 | | technicalSentenceCount | 4 | | matches | | 0 | "Now it burned through cotton and skin, a steady ember pulse that matched nothing human." | | 1 | "A small tightening, as if thousands of thin mouths had puckered shut at once." | | 2 | "Just depressions appearing in the silvered green as if some careful thing had started circling her." | | 3 | "Her boot sank half an inch and something below the surface shifted against the sole, slow and deliberate, as if a hand had rolled over beneath mud." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 1 | | effectiveRatio | 0.154 | |