| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 68 | | tagDensity | 0.338 | | leniency | 0.676 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1055 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 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) | |
| 57.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1055 | | totalAiIsms | 9 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "the last thing" | | count | 1 |
| | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "shattered" | | 1 | "scanning" | | 2 | "weight" | | 3 | "flicker" | | 4 | "the last thing" | | 5 | "silence" | | 6 | "traced" | | 7 | "pulsed" |
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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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1055 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 712 | | uniqueNames | 14 | | maxNameDensity | 3.09 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 22 | | Raven | 1 | | Nest | 1 | | Walsh | 2 | | Niamh | 18 | | Dublin | 1 | | Prague | 1 | | Jameson | 1 | | Neve | 1 | | Fair | 1 | | Evan | 1 | | London | 1 | | Eva | 1 | | Silas | 3 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Walsh" | | 4 | "Niamh" | | 5 | "Jameson" | | 6 | "Evan" | | 7 | "Eva" | | 8 | "Silas" |
| | places | | 0 | "Dublin" | | 1 | "Prague" | | 2 | "London" |
| | globalScore | 0 | | windowScore | 0.333 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite relief but close to it, the particular comfort of being known by someone who has no obligation to flatter you" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.948 | | wordCount | 1055 | | matches | | 0 | "not quite relief but close to it, the particular comfort of being known by someon" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 122 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 72 | | mean | 14.65 | | std | 12.41 | | cv | 0.847 | | sampleLengths | | 0 | 12 | | 1 | 31 | | 2 | 46 | | 3 | 22 | | 4 | 21 | | 5 | 35 | | 6 | 16 | | 7 | 6 | | 8 | 13 | | 9 | 40 | | 10 | 9 | | 11 | 18 | | 12 | 2 | | 13 | 16 | | 14 | 5 | | 15 | 5 | | 16 | 11 | | 17 | 33 | | 18 | 14 | | 19 | 4 | | 20 | 6 | | 21 | 3 | | 22 | 22 | | 23 | 3 | | 24 | 5 | | 25 | 11 | | 26 | 10 | | 27 | 4 | | 28 | 18 | | 29 | 31 | | 30 | 5 | | 31 | 3 | | 32 | 7 | | 33 | 30 | | 34 | 9 | | 35 | 5 | | 36 | 2 | | 37 | 42 | | 38 | 3 | | 39 | 1 | | 40 | 4 | | 41 | 4 | | 42 | 2 | | 43 | 44 | | 44 | 26 | | 45 | 11 | | 46 | 4 | | 47 | 6 | | 48 | 2 | | 49 | 2 |
| |
| 87.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 80 | | matches | | 0 | "been filed" | | 1 | "being asked" | | 2 | "been sanded" | | 3 | "being known" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 129 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 122 | | ratio | 0 | | matches | (empty) | |
| 98.13% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 712 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.042134831460674156 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008426966292134831 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 8.65 | | std | 7.7 | | cv | 0.89 | | sampleLengths | | 0 | 12 | | 1 | 3 | | 2 | 28 | | 3 | 2 | | 4 | 3 | | 5 | 11 | | 6 | 30 | | 7 | 22 | | 8 | 12 | | 9 | 9 | | 10 | 19 | | 11 | 16 | | 12 | 9 | | 13 | 7 | | 14 | 6 | | 15 | 10 | | 16 | 3 | | 17 | 20 | | 18 | 14 | | 19 | 6 | | 20 | 9 | | 21 | 13 | | 22 | 5 | | 23 | 2 | | 24 | 9 | | 25 | 7 | | 26 | 3 | | 27 | 2 | | 28 | 5 | | 29 | 11 | | 30 | 9 | | 31 | 7 | | 32 | 10 | | 33 | 7 | | 34 | 4 | | 35 | 10 | | 36 | 4 | | 37 | 6 | | 38 | 3 | | 39 | 16 | | 40 | 6 | | 41 | 3 | | 42 | 5 | | 43 | 5 | | 44 | 6 | | 45 | 6 | | 46 | 4 | | 47 | 4 | | 48 | 15 | | 49 | 3 |
| |
| 59.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4016393442622951 | | totalSentences | 122 | | uniqueOpeners | 49 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 61 | | matches | | 0 | "Then she walked over, and" | | 1 | "Then, more honestly," | | 2 | "Just for a moment." | | 3 | "Then Niamh's phone lit up" |
| | ratio | 0.066 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 61 | | matches | | 0 | "She didn't notice." | | 1 | "Her eyes had fixed on" | | 2 | "Her voice was smoother than" | | 3 | "They took the corner table," | | 4 | "He had a talent for" | | 5 | "she asked, because it was" | | 6 | "She said it flatly, the" | | 7 | "She smoothed the front of" | | 8 | "She listed it like evidence" | | 9 | "Her thumb found a small" | | 10 | "She looked up" | | 11 | "she said, but she didn't" | | 12 | "She still didn't move." | | 13 | "She reached up and pulled" |
| | ratio | 0.23 | |
| 58.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 61 | | matches | | 0 | "The glass slipped from Rory's" | | 1 | "She didn't notice." | | 2 | "Her eyes had fixed on" | | 3 | "Silas said from behind the" | | 4 | "Rory crouched and gathered the" | | 5 | "Her voice was smoother than" | | 6 | "The Dublin edges had been" | | 7 | "Niamh laughed, and for a" | | 8 | "They took the corner table," | | 9 | "Silas brought two glasses of" | | 10 | "He had a talent for" | | 11 | "Niamh turned her glass on" | | 12 | "Rory said nothing." | | 13 | "The old name sat between" | | 14 | "Niamh had gone by Neve" | | 15 | "Reinvention even then, though it" | | 16 | "A nickname shed rather than" | | 17 | "Niamh looked at her properly" | | 18 | "Rory set her glass down." | | 19 | "Niamh's hand moved as though" |
| | ratio | 0.803 | |
| 81.97% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 61 | | matches | | 0 | "By the time she straightened," |
| | ratio | 0.016 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "But something sat differently in her shoulders now, a weight that hadn't been there before, and the coat she wore, long, dark, expensively cut, belonged to some…" | | 1 | "Something shifted in her expression, not quite relief but close to it, the particular comfort of being known by someone who has no obligation to flatter you." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 68 | | tagDensity | 0.221 | | leniency | 0.441 | | rawRatio | 0.067 | | effectiveRatio | 0.029 | |