| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1506 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | |
| | highlights | | 0 | "deliberately" | | 1 | "slightly" |
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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) | |
| 56.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1506 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "warmth" | | 1 | "throbbed" | | 2 | "pulse" | | 3 | "silence" | | 4 | "echo" | | 5 | "pulsed" | | 6 | "weight" | | 7 | "measured" | | 8 | "trembled" | | 9 | "vibrated" |
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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 | 145 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 145 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 150 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1506 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.01% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1471 | | uniqueNames | 9 | | maxNameDensity | 1.02 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Richmond | 2 | | Park | 1 | | Grove | 6 | | Heartstone | 4 | | Pendant | 1 | | Silence | 3 | | Rory | 15 | | Empty | 4 |
| | persons | | 0 | "Carter" | | 1 | "Heartstone" | | 2 | "Pendant" | | 3 | "Silence" | | 4 | "Rory" |
| | places | | | globalScore | 0.99 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like her own name spoken backward" |
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| 67.20% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.328 | | wordCount | 1506 | | matches | | 0 | "Not the ordinary quiet of a park after midnight, but a hush" | | 1 | "neither animal nor" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 150 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 50.2 | | std | 32.66 | | cv | 0.651 | | sampleLengths | | 0 | 124 | | 1 | 60 | | 2 | 8 | | 3 | 75 | | 4 | 9 | | 5 | 68 | | 6 | 44 | | 7 | 11 | | 8 | 65 | | 9 | 4 | | 10 | 72 | | 11 | 73 | | 12 | 8 | | 13 | 96 | | 14 | 9 | | 15 | 70 | | 16 | 48 | | 17 | 80 | | 18 | 16 | | 19 | 56 | | 20 | 46 | | 21 | 93 | | 22 | 67 | | 23 | 65 | | 24 | 9 | | 25 | 55 | | 26 | 73 | | 27 | 16 | | 28 | 83 | | 29 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 145 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 247 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 150 | | ratio | 0 | | matches | (empty) | |
| 99.98% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1474 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 59 | | adverbRatio | 0.04002713704206241 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.007462686567164179 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 150 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 150 | | mean | 10.04 | | std | 6.45 | | cv | 0.642 | | sampleLengths | | 0 | 23 | | 1 | 17 | | 2 | 15 | | 3 | 21 | | 4 | 31 | | 5 | 3 | | 6 | 2 | | 7 | 12 | | 8 | 18 | | 9 | 9 | | 10 | 15 | | 11 | 7 | | 12 | 11 | | 13 | 3 | | 14 | 5 | | 15 | 2 | | 16 | 17 | | 17 | 10 | | 18 | 13 | | 19 | 11 | | 20 | 10 | | 21 | 7 | | 22 | 5 | | 23 | 9 | | 24 | 2 | | 25 | 2 | | 26 | 7 | | 27 | 4 | | 28 | 25 | | 29 | 9 | | 30 | 15 | | 31 | 4 | | 32 | 13 | | 33 | 17 | | 34 | 3 | | 35 | 5 | | 36 | 2 | | 37 | 2 | | 38 | 2 | | 39 | 5 | | 40 | 6 | | 41 | 7 | | 42 | 3 | | 43 | 4 | | 44 | 7 | | 45 | 20 | | 46 | 16 | | 47 | 8 | | 48 | 4 | | 49 | 13 |
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| 60.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3933333333333333 | | totalSentences | 150 | | uniqueOpeners | 59 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 128 | | matches | | 0 | "Then another, closer." | | 1 | "Somewhere near the southern stone" | | 2 | "More like a fold of" | | 3 | "Then the wildflowers began to" | | 4 | "Everywhere the wildflowers leaned toward" | | 5 | "Only denser black." | | 6 | "Then the slit sealed and" |
| | ratio | 0.055 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 128 | | matches | | 0 | "She had come because the" | | 1 | "She adjusted the rucksack on" | | 2 | "Its crimson centre throbbed once," | | 3 | "She took five steps into" | | 4 | "Her trainers sank into soft" | | 5 | "She tracked her torch beam" | | 6 | "She waited twenty heartbeats." | | 7 | "She killed the torch and" | | 8 | "She spoke to the dark." | | 9 | "Her voice flattened against the" | | 10 | "She took another step." | | 11 | "She matched its movement, keeping" | | 12 | "Her chest tightened." | | 13 | "She lowered the beam to" | | 14 | "It came from her right," | | 15 | "Her eyes mapped the stones:" | | 16 | "She tracked it until it" | | 17 | "She held her head still," | | 18 | "It rose no higher than" | | 19 | "She pieced out one fragment" |
| | ratio | 0.211 | |
| 77.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 128 | | matches | | 0 | "Aurora Carter slipped past the" | | 1 | "Night had already claimed the" | | 2 | "Wildflowers carpeted the clearing in" | | 3 | "She had come because the" | | 4 | "Something waited here." | | 5 | "She adjusted the rucksack on" | | 6 | "The temperature dropped fifteen degrees" | | 7 | "Frost glittered on the petals" | | 8 | "Rory pressed a hand to" | | 9 | "Its crimson centre throbbed once," | | 10 | "She took five steps into" | | 11 | "Her trainers sank into soft" | | 12 | "An oak stone to her" | | 13 | "She tracked her torch beam" | | 14 | "The light shuddered then steadied." | | 15 | "A dry rustle swept through" | | 16 | "The petals stood frozen under" | | 17 | "She waited twenty heartbeats." | | 18 | "The rustle came again, farther" | | 19 | "She killed the torch and" |
| | ratio | 0.766 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 128 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 71 | | technicalSentenceCount | 2 | | matches | | 0 | "Aurora Carter slipped past the last line of oaks that marked the edge of Richmond Park and into the circle of standing stones." | | 1 | "The rustle came again, farther left this time, as though something crawled belly-low through the stems and deliberately stopped whenever her beam swung that way…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 8 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.5 | | effectiveRatio | 0.25 | |