| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.056 | | leniency | 0.111 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1712 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 73.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1712 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "silence" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "weight" | | 4 | "stomach" | | 5 | "vibrated" | | 6 | "trembled" |
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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 | 211 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 211 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 229 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1712 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.20% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1641 | | uniqueNames | 8 | | maxNameDensity | 1.04 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Yu-Fei | 1 | | Eva | 1 | | Putney | 1 | | Empress | 1 | | Rory | 17 |
| | persons | | | places | | | globalScore | 0.982 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 129 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a second heartbeat" |
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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 | 1712 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 229 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 163 | | mean | 10.5 | | std | 10.58 | | cv | 1.007 | | sampleLengths | | 0 | 17 | | 1 | 36 | | 2 | 13 | | 3 | 13 | | 4 | 13 | | 5 | 2 | | 6 | 9 | | 7 | 13 | | 8 | 45 | | 9 | 8 | | 10 | 5 | | 11 | 3 | | 12 | 38 | | 13 | 6 | | 14 | 3 | | 15 | 1 | | 16 | 4 | | 17 | 8 | | 18 | 6 | | 19 | 35 | | 20 | 45 | | 21 | 9 | | 22 | 7 | | 23 | 4 | | 24 | 5 | | 25 | 40 | | 26 | 10 | | 27 | 9 | | 28 | 33 | | 29 | 5 | | 30 | 9 | | 31 | 4 | | 32 | 4 | | 33 | 7 | | 34 | 17 | | 35 | 1 | | 36 | 5 | | 37 | 31 | | 38 | 4 | | 39 | 10 | | 40 | 29 | | 41 | 2 | | 42 | 8 | | 43 | 10 | | 44 | 14 | | 45 | 2 | | 46 | 6 | | 47 | 6 | | 48 | 32 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 211 | | matches | | 0 | "were given" | | 1 | "been locked" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 276 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 229 | | ratio | 0.004 | | matches | | 0 | "One had a split near its base; the other leaned beneath a root that crossed its face." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 319 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.01567398119122257 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 229 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 229 | | mean | 7.48 | | std | 5.18 | | cv | 0.693 | | sampleLengths | | 0 | 17 | | 1 | 8 | | 2 | 23 | | 3 | 5 | | 4 | 5 | | 5 | 3 | | 6 | 5 | | 7 | 13 | | 8 | 6 | | 9 | 7 | | 10 | 2 | | 11 | 6 | | 12 | 3 | | 13 | 13 | | 14 | 10 | | 15 | 11 | | 16 | 18 | | 17 | 6 | | 18 | 8 | | 19 | 5 | | 20 | 2 | | 21 | 1 | | 22 | 8 | | 23 | 24 | | 24 | 6 | | 25 | 6 | | 26 | 3 | | 27 | 1 | | 28 | 4 | | 29 | 8 | | 30 | 6 | | 31 | 11 | | 32 | 16 | | 33 | 8 | | 34 | 16 | | 35 | 6 | | 36 | 6 | | 37 | 17 | | 38 | 9 | | 39 | 7 | | 40 | 4 | | 41 | 5 | | 42 | 12 | | 43 | 5 | | 44 | 23 | | 45 | 2 | | 46 | 2 | | 47 | 6 | | 48 | 9 | | 49 | 5 |
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| 47.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.30131004366812225 | | totalSentences | 229 | | uniqueOpeners | 69 | |
| 36.23% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 184 | | matches | | 0 | "Then the same breath came" | | 1 | "Then she heard it strike" |
| | ratio | 0.011 | |
| 76.52% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 66 | | totalSentences | 184 | | matches | | 0 | "She checked the message again." | | 1 | "She had taken that photograph" | | 2 | "She had never sent it" | | 3 | "Her voice carried across the" | | 4 | "She put her phone in" | | 5 | "She leaned back between the" | | 6 | "She leaned forward." | | 7 | "She took her foot out" | | 8 | "She caught the silver chain" | | 9 | "Its crimson stone held a" | | 10 | "Her front door had been" | | 11 | "Her kitchen blinds had been" | | 12 | "She stepped into the grove." | | 13 | "She turned to mark the" | | 14 | "She took a photograph, then" | | 15 | "She enlarged the photograph with" | | 16 | "She kept the screen lit." | | 17 | "Its top held a shallow" | | 18 | "She approached it without taking" | | 19 | "She swept the phone’s light" |
| | ratio | 0.359 | |
| 85.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 138 | | totalSentences | 184 | | matches | | 0 | "Rory found the first standing" | | 1 | "Someone had cut a gap" | | 2 | "The severed ends curled towards" | | 3 | "She checked the message again." | | 4 | "She had taken that photograph" | | 5 | "She had never sent it" | | 6 | "Her voice carried across the" | | 7 | "Nothing carried back." | | 8 | "She put her phone in" | | 9 | "The standing stones formed an" | | 10 | "Rory stopped with one foot" | | 11 | "The traffic noise had vanished." | | 12 | "She leaned back between the" | | 13 | "A tyre hissed over wet" | | 14 | "She leaned forward." | | 15 | "She took her foot out" | | 16 | "The pendant warmed beneath her" | | 17 | "She caught the silver chain" | | 18 | "Its crimson stone held a" | | 19 | "Heat spread through the pads" |
| | ratio | 0.75 | |
| 27.17% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 184 | | matches | | 0 | "Whoever had sent it had" |
| | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 1 | | matches | | 0 | "Long grooves scored their surfaces, branching and folding like oak bark." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |