| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.297 | | leniency | 0.595 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1529 | | 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) | |
| 70.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1529 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "weight" | | 1 | "silence" | | 2 | "pulse" | | 3 | "warmth" | | 4 | "tracing" | | 5 | "flickered" | | 6 | "electric" |
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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 | 1 | | narrationSentences | 77 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1520 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 940 | | uniqueNames | 10 | | maxNameDensity | 0.96 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | French | 1 | | Eva | 1 | | Ptolemy | 3 | | Rory | 9 | | Avaros | 1 | | Pull | 1 | | Lucien | 6 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Rory" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 2 | | matches | | 0 | "as if cataloguing every book spine and coffee ring" | | 1 | "as if reclaiming territory" |
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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 | 1520 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 86.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 41.08 | | std | 18.53 | | cv | 0.451 | | sampleLengths | | 0 | 49 | | 1 | 27 | | 2 | 55 | | 3 | 10 | | 4 | 63 | | 5 | 12 | | 6 | 43 | | 7 | 32 | | 8 | 12 | | 9 | 11 | | 10 | 63 | | 11 | 36 | | 12 | 73 | | 13 | 35 | | 14 | 52 | | 15 | 51 | | 16 | 34 | | 17 | 57 | | 18 | 59 | | 19 | 65 | | 20 | 31 | | 21 | 23 | | 22 | 59 | | 23 | 45 | | 24 | 20 | | 25 | 50 | | 26 | 43 | | 27 | 47 | | 28 | 48 | | 29 | 55 | | 30 | 48 | | 31 | 12 | | 32 | 43 | | 33 | 67 | | 34 | 63 | | 35 | 13 | | 36 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 147 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 102 | | ratio | 0.078 | | matches | | 0 | "Heterochromatic eyes—one amber, one black—fixed on her without apology." | | 1 | "Books and scrolls claimed every surface; the single window fogged with the curry house steam rising from below." | | 2 | "The motion revealed the faint shimmer of the half-demon blood that sometimes rode under his pale skin when he was angry—or worse." | | 3 | "Their fingers brushed—his cool, hers still damp from the kettle handle—and neither pulled away first." | | 4 | "He stood closer now—cane abandoned, mug set down untasted." | | 5 | "Pull or push—she hadn’t decided." | | 6 | "The half-demon shimmer fractaled under his skin—gold threads of arcane hunger." | | 7 | "She closed the distance, the kiss sharp and unfinished—too much teeth, too much unmet need." |
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| 98.35% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 955 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.041884816753926704 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008376963350785341 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 14.9 | | std | 8.51 | | cv | 0.571 | | sampleLengths | | 0 | 10 | | 1 | 23 | | 2 | 16 | | 3 | 5 | | 4 | 3 | | 5 | 3 | | 6 | 16 | | 7 | 14 | | 8 | 21 | | 9 | 11 | | 10 | 9 | | 11 | 10 | | 12 | 17 | | 13 | 10 | | 14 | 13 | | 15 | 5 | | 16 | 18 | | 17 | 12 | | 18 | 14 | | 19 | 26 | | 20 | 3 | | 21 | 4 | | 22 | 12 | | 23 | 16 | | 24 | 12 | | 25 | 11 | | 26 | 6 | | 27 | 22 | | 28 | 22 | | 29 | 13 | | 30 | 17 | | 31 | 8 | | 32 | 11 | | 33 | 23 | | 34 | 13 | | 35 | 37 | | 36 | 8 | | 37 | 6 | | 38 | 21 | | 39 | 40 | | 40 | 12 | | 41 | 4 | | 42 | 20 | | 43 | 27 | | 44 | 8 | | 45 | 15 | | 46 | 11 | | 47 | 25 | | 48 | 32 | | 49 | 13 |
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| 63.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4019607843137255 | | totalSentences | 102 | | uniqueOpeners | 41 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 76 | | matches | | 0 | "Then the second." | | 1 | "Then the third." |
| | ratio | 0.026 | |
| 72.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 76 | | matches | | 0 | "She turned the first bolt." | | 1 | "He stepped across the threshold" | | 2 | "His French accent bent the" | | 3 | "He set the cane against" | | 4 | "He removed his gloves one" | | 5 | "She crossed to the tiny" | | 6 | "He wandered the perimeter of" | | 7 | "He unbuttoned the top two" | | 8 | "She poured water into two" | | 9 | "He accepted the mug she" | | 10 | "Their fingers brushed—his cool, hers" | | 11 | "He set the cane against" | | 12 | "He stood closer now—cane abandoned," | | 13 | "She cut herself off, heat" | | 14 | "His hands found the windowsill" | | 15 | "Her fingers curled into the" | | 16 | "His voice roughened" | | 17 | "She felt the heat of" | | 18 | "She rose on the balls" | | 19 | "His hand left the sill" |
| | ratio | 0.368 | |
| 25.79% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 76 | | matches | | 0 | "The knocks came sharp and" | | 1 | "Rory set her half-eaten takeaway" | | 2 | "Ptolemy uncurled from the arm" | | 3 | "She turned the first bolt." | | 4 | "The door swung inward on" | | 5 | "Lucien Moreau stood on the" | | 6 | "The ivory handle of his" | | 7 | "He stepped across the threshold" | | 8 | "The scent of rain and" | | 9 | "Rory shut the door hard" | | 10 | "The flat contracted around them." | | 11 | "Books and scrolls claimed every" | | 12 | "His French accent bent the" | | 13 | "He set the cane against" | | 14 | "Rory folded her arms." | | 15 | "The crescent scar on her" | | 16 | "Lucien’s mouth ticked at one" | | 17 | "He removed his gloves one" | | 18 | "The motion revealed the faint" | | 19 | "She crossed to the tiny" |
| | ratio | 0.868 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 94.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 3 | | matches | | 0 | "Lucien Moreau stood on the landing as if he owned the air around him." | | 1 | "Rory’s breath caught as Lucien’s free hand settled at her waist, splaying wide over the arch of her spine, drawing her in so the last few centimetres vanished." | | 2 | "Hands roamed: hers mapping the scar beneath his waistcoat, his sliding under her jumper to map the ridges of her ribs as if reclaiming territory." |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "he answered, lips brushing hers with each word" |
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| 95.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "she ordered (order)" |
| | dialogueSentences | 37 | | tagDensity | 0.081 | | leniency | 0.162 | | rawRatio | 0.667 | | effectiveRatio | 0.108 | |