| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 38 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva corrected gently [gently]" | | 1 | "Eva looked faintly [faintly]" |
| | dialogueSentences | 123 | | tagDensity | 0.309 | | leniency | 0.618 | | rawRatio | 0.053 | | effectiveRatio | 0.033 | |
| 87.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2473 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "gently" | | 1 | "carefully" | | 2 | "slowly" | | 3 | "really" | | 4 | "tightly" |
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| 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) | |
| 95.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2473 | | totalAiIsms | 2 | | 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 | 1 | | narrationSentences | 172 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 172 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 257 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2473 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 43 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 153 | | wordCount | 1789 | | uniqueNames | 16 | | maxNameDensity | 3.69 | | worstName | "Rory" | | maxWindowNameDensity | 6 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Europe | 1 | | London | 2 | | Rory | 66 | | Cardiff | 5 | | Eva | 56 | | Silas | 12 | | One | 2 | | Sunday | 1 | | University | 1 | | Pre-Law | 1 | | Christmas | 1 | | Evan | 1 | | Tuesday | 1 | | Been | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Silas" | | 5 | "One" | | 6 | "Evan" | | 7 | "Been" |
| | places | | 0 | "Europe" | | 1 | "London" | | 2 | "Cardiff" | | 3 | "Christmas" |
| | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 119 | | glossingSentenceCount | 1 | | matches | | 0 | "as though giving Rory room to step away" |
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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 | 2473 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 257 | | matches | | 0 | "enough that Rory" | | 1 | "tucked that hand" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 136 | | mean | 18.18 | | std | 19.5 | | cv | 1.072 | | sampleLengths | | 0 | 53 | | 1 | 58 | | 2 | 3 | | 3 | 4 | | 4 | 10 | | 5 | 25 | | 6 | 8 | | 7 | 75 | | 8 | 38 | | 9 | 7 | | 10 | 10 | | 11 | 9 | | 12 | 3 | | 13 | 37 | | 14 | 14 | | 15 | 5 | | 16 | 9 | | 17 | 11 | | 18 | 13 | | 19 | 22 | | 20 | 56 | | 21 | 9 | | 22 | 2 | | 23 | 2 | | 24 | 2 | | 25 | 87 | | 26 | 33 | | 27 | 7 | | 28 | 20 | | 29 | 8 | | 30 | 6 | | 31 | 39 | | 32 | 12 | | 33 | 5 | | 34 | 8 | | 35 | 25 | | 36 | 10 | | 37 | 1 | | 38 | 9 | | 39 | 1 | | 40 | 9 | | 41 | 6 | | 42 | 53 | | 43 | 6 | | 44 | 25 | | 45 | 3 | | 46 | 5 | | 47 | 8 | | 48 | 28 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 172 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 336 | | matches | | 0 | "was nearly closing" | | 1 | "was watching" | | 2 | "was giving" | | 3 | "was watching" | | 4 | "was carrying" |
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| 87.27% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 6 | | flaggedSentences | 5 | | totalSentences | 257 | | ratio | 0.019 | | matches | | 0 | "She had been round-faced at sixteen, always laughing before she reached the end of a sentence; now she wore an expression Rory couldn’t read." | | 1 | "One leg was shorter than the others; she knew to fold a beer mat beneath it before setting her elbows down." | | 2 | "Eva had called her; there had been messages at Christmas and on birthdays." | | 3 | "At the time Rory had been furious; she had wanted Eva to dislike him for the things he’d said to her, not to be afraid of what he might do next." | | 4 | "Rory had spent years arranging the story so neither of them had done anything wrong: Eva had been busy; Rory had needed space; friendship had simply given way to distance." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1791 | | adjectiveStacks | 1 | | stackExamples | | 0 | "long, untidy brown plait," |
| | adverbCount | 55 | | adverbRatio | 0.030709101060859854 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.008375209380234505 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 257 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 257 | | mean | 9.62 | | std | 7.01 | | cv | 0.729 | | sampleLengths | | 0 | 22 | | 1 | 31 | | 2 | 5 | | 3 | 28 | | 4 | 17 | | 5 | 8 | | 6 | 3 | | 7 | 4 | | 8 | 10 | | 9 | 13 | | 10 | 12 | | 11 | 6 | | 12 | 2 | | 13 | 13 | | 14 | 8 | | 15 | 22 | | 16 | 8 | | 17 | 24 | | 18 | 26 | | 19 | 12 | | 20 | 3 | | 21 | 4 | | 22 | 7 | | 23 | 3 | | 24 | 9 | | 25 | 3 | | 26 | 5 | | 27 | 16 | | 28 | 16 | | 29 | 11 | | 30 | 3 | | 31 | 3 | | 32 | 2 | | 33 | 6 | | 34 | 3 | | 35 | 5 | | 36 | 6 | | 37 | 8 | | 38 | 5 | | 39 | 12 | | 40 | 5 | | 41 | 5 | | 42 | 2 | | 43 | 8 | | 44 | 12 | | 45 | 21 | | 46 | 13 | | 47 | 9 | | 48 | 2 | | 49 | 2 |
| |
| 44.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.245136186770428 | | totalSentences | 257 | | uniqueOpeners | 63 | |
| 69.93% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 143 | | matches | | 0 | "Then Eva let go of" | | 1 | "Then her phone buzzed in" | | 2 | "Then she went to help" |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 143 | | matches | | 0 | "It was nearly closing time." | | 1 | "He set the glass aside" | | 2 | "Her hair, once a long," | | 3 | "She had been round-faced at" | | 4 | "Her gaze travelled over Rory’s" | | 5 | "She looked at Rory" | | 6 | "She slipped it into her" | | 7 | "They had found a room" | | 8 | "She’d taken Rory to a" | | 9 | "She’d meant to answer the" | | 10 | "He moved carefully around the" | | 11 | "He began stacking the clean" | | 12 | "Her eyes went to the" | | 13 | "She herself had to think" | | 14 | "Her hands remained around the" | | 15 | "She heard herself making the" | | 16 | "She’d handed out roles to" | | 17 | "She had once made Rory" | | 18 | "She had gone to Cardiff" | | 19 | "She had answered often enough" |
| | ratio | 0.224 | |
| 57.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 143 | | matches | | 0 | "Rory came downstairs because the" | | 1 | "Silas kept the little brass" | | 2 | "It was nearly closing time." | | 3 | "The Raven’s Nest smelled of" | | 4 | "Silas stood at the sink," | | 5 | "He set the glass aside" | | 6 | "Rory was watching his hand" | | 7 | "Nobody in London called her" | | 8 | "Eva stood just inside the" | | 9 | "Rain had darkened the shoulders" | | 10 | "Her hair, once a long," | | 11 | "The new colour made her" | | 12 | "She had been round-faced at" | | 13 | "Rory put her hands in" | | 14 | "Eva gave a small laugh." | | 15 | "Her gaze travelled over Rory’s" | | 16 | "Silas put the boiler key" | | 17 | "Eva corrected gently" | | 18 | "Silas’s gaze moved between them." | | 19 | "She looked at Rory" |
| | ratio | 0.804 | |
| 34.97% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 143 | | matches | | 0 | "Now she found she could" |
| | ratio | 0.007 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 73 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 38 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 26 | | fancyCount | 1 | | fancyTags | | 0 | "Eva corrected gently (correct)" |
| | dialogueSentences | 123 | | tagDensity | 0.211 | | leniency | 0.423 | | rawRatio | 0.038 | | effectiveRatio | 0.016 | |