| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 126 | | tagDensity | 0.032 | | leniency | 0.063 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1723 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 97.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1723 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 111 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 111 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 233 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1723 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 85 | | wordCount | 1063 | | uniqueNames | 5 | | maxNameDensity | 3.86 | | worstName | "Rory" | | maxWindowNameDensity | 5 | | worstWindowName | "Nia" | | discoveredNames | | London | 1 | | Nia | 37 | | Rory | 41 | | Silas | 5 | | Evan | 1 |
| | persons | | 0 | "Nia" | | 1 | "Rory" | | 2 | "Silas" | | 3 | "Evan" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1723 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 233 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 190 | | mean | 9.07 | | std | 10.34 | | cv | 1.14 | | sampleLengths | | 0 | 20 | | 1 | 1 | | 2 | 11 | | 3 | 52 | | 4 | 1 | | 5 | 6 | | 6 | 60 | | 7 | 6 | | 8 | 2 | | 9 | 8 | | 10 | 3 | | 11 | 4 | | 12 | 17 | | 13 | 4 | | 14 | 17 | | 15 | 9 | | 16 | 6 | | 17 | 33 | | 18 | 10 | | 19 | 12 | | 20 | 3 | | 21 | 9 | | 22 | 23 | | 23 | 3 | | 24 | 10 | | 25 | 4 | | 26 | 5 | | 27 | 4 | | 28 | 9 | | 29 | 7 | | 30 | 9 | | 31 | 23 | | 32 | 20 | | 33 | 21 | | 34 | 2 | | 35 | 12 | | 36 | 5 | | 37 | 11 | | 38 | 25 | | 39 | 12 | | 40 | 4 | | 41 | 2 | | 42 | 5 | | 43 | 3 | | 44 | 5 | | 45 | 1 | | 46 | 7 | | 47 | 11 | | 48 | 4 | | 49 | 3 |
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| 98.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 111 | | matches | | 0 | "been fourteen" | | 1 | "been given" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 190 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 233 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1065 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.018779342723004695 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0018779342723004694 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 233 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 233 | | mean | 7.39 | | std | 5.6 | | cv | 0.757 | | sampleLengths | | 0 | 20 | | 1 | 1 | | 2 | 5 | | 3 | 6 | | 4 | 6 | | 5 | 32 | | 6 | 4 | | 7 | 10 | | 8 | 1 | | 9 | 6 | | 10 | 14 | | 11 | 18 | | 12 | 28 | | 13 | 6 | | 14 | 2 | | 15 | 8 | | 16 | 3 | | 17 | 4 | | 18 | 9 | | 19 | 8 | | 20 | 4 | | 21 | 17 | | 22 | 9 | | 23 | 6 | | 24 | 11 | | 25 | 22 | | 26 | 10 | | 27 | 12 | | 28 | 3 | | 29 | 9 | | 30 | 3 | | 31 | 20 | | 32 | 3 | | 33 | 10 | | 34 | 4 | | 35 | 5 | | 36 | 4 | | 37 | 9 | | 38 | 7 | | 39 | 9 | | 40 | 12 | | 41 | 11 | | 42 | 6 | | 43 | 7 | | 44 | 7 | | 45 | 11 | | 46 | 4 | | 47 | 6 | | 48 | 2 | | 49 | 12 |
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| 44.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.27467811158798283 | | totalSentences | 233 | | uniqueOpeners | 64 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 106 | | matches | | 0 | "They had been fourteen." | | 1 | "Her hair ended at her" | | 2 | "She wore a charcoal coat" | | 3 | "Her gaze stayed there a" | | 4 | "His silver ring clicked against" | | 5 | "He came towards them with" | | 6 | "He moved away before either" | | 7 | "She had drawn Rory’s father" | | 8 | "She swore, grinned at Silas" | | 9 | "They smiled without looking at" | | 10 | "She had always pretended there" | | 11 | "She pressed her lips together." | | 12 | "It left out the questions" | | 13 | "Her heel slipped off the" | | 14 | "She moved a card case," | | 15 | "She folded it once, pressing" | | 16 | "She turned it face down." |
| | ratio | 0.16 | |
| 26.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 106 | | matches | | 0 | "Rory had carried three empty" | | 1 | "Rory caught it by the" | | 2 | "Nobody in London called her" | | 3 | "They had been fourteen." | | 4 | "Neither of them had seen" | | 5 | "The woman put down her" | | 6 | "Her hair ended at her" | | 7 | "She wore a charcoal coat" | | 8 | "Rory remembered hair secured with" | | 9 | "Rory set the glasses on" | | 10 | "Nia looked at Rory’s apron," | | 11 | "Her gaze stayed there a" | | 12 | "His silver ring clicked against" | | 13 | "He came towards them with" | | 14 | "Nia’s mouth opened." | | 15 | "Silas lifted a glass." | | 16 | "Nia slid her coat off" | | 17 | "Rory laughed, and the sound" | | 18 | "A man at the far" | | 19 | "Nia smiled at him without" |
| | ratio | 0.868 | |
| 47.17% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 106 | | matches | | 0 | "Now she noticed it only" |
| | ratio | 0.009 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 3 | | matches | | 0 | "Her hair ended at her jaw in a cut that would have required appointments." | | 1 | "Nia had once drawn on every surface that stayed still long enough: exercise books, bus tickets, the backs of Rory’s revision cards." | | 2 | "Rory remembered Nia’s mother standing at the stove in slippers, tearing bread into a pan because two hungry girls had arrived without warning." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 126 | | tagDensity | 0.024 | | leniency | 0.048 | | rawRatio | 0.333 | | effectiveRatio | 0.016 | |