| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2088 | | 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) | |
| 59.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2088 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "velvet" | | 1 | "echo" | | 2 | "pulse" | | 3 | "warmth" | | 4 | "dance" | | 5 | "silence" | | 6 | "weight" | | 7 | "pulsed" | | 8 | "scanned" | | 9 | "absolutely" | | 10 | "trembled" | | 11 | "stomach" | | 12 | "whisper" |
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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 | 244 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 244 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 259 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2088 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 2019 | | uniqueNames | 7 | | maxNameDensity | 0.94 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Grove | 6 | | Richmond | 2 | | Park | 2 | | October | 1 | | Heartstone | 1 | | Eva | 2 | | Rory | 19 |
| | persons | | 0 | "October" | | 1 | "Heartstone" | | 2 | "Eva" | | 3 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 95.26% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 137 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like the world had gripped her by" | | 1 | "felt like walking into deep water witho" | | 2 | "looked like the mark left by a body dragg" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.479 | | wordCount | 2088 | | matches | | 0 | "not white but colourless, like flesh leeched in river water" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 259 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 117 | | mean | 17.85 | | std | 18.89 | | cv | 1.059 | | sampleLengths | | 0 | 14 | | 1 | 5 | | 2 | 112 | | 3 | 11 | | 4 | 2 | | 5 | 1 | | 6 | 46 | | 7 | 15 | | 8 | 52 | | 9 | 12 | | 10 | 22 | | 11 | 15 | | 12 | 57 | | 13 | 10 | | 14 | 50 | | 15 | 1 | | 16 | 5 | | 17 | 44 | | 18 | 36 | | 19 | 38 | | 20 | 7 | | 21 | 74 | | 22 | 3 | | 23 | 3 | | 24 | 36 | | 25 | 4 | | 26 | 1 | | 27 | 5 | | 28 | 8 | | 29 | 26 | | 30 | 4 | | 31 | 1 | | 32 | 39 | | 33 | 1 | | 34 | 12 | | 35 | 43 | | 36 | 15 | | 37 | 2 | | 38 | 3 | | 39 | 43 | | 40 | 9 | | 41 | 6 | | 42 | 20 | | 43 | 22 | | 44 | 11 | | 45 | 2 | | 46 | 38 | | 47 | 2 | | 48 | 18 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 244 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 312 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 259 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 2022 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 78 | | adverbRatio | 0.03857566765578635 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.001483679525222552 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 259 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 259 | | mean | 8.06 | | std | 6.44 | | cv | 0.799 | | sampleLengths | | 0 | 14 | | 1 | 2 | | 2 | 2 | | 3 | 1 | | 4 | 36 | | 5 | 23 | | 6 | 11 | | 7 | 20 | | 8 | 2 | | 9 | 2 | | 10 | 7 | | 11 | 11 | | 12 | 11 | | 13 | 2 | | 14 | 1 | | 15 | 5 | | 16 | 4 | | 17 | 2 | | 18 | 3 | | 19 | 6 | | 20 | 19 | | 21 | 7 | | 22 | 15 | | 23 | 18 | | 24 | 21 | | 25 | 13 | | 26 | 3 | | 27 | 9 | | 28 | 11 | | 29 | 2 | | 30 | 2 | | 31 | 7 | | 32 | 12 | | 33 | 3 | | 34 | 11 | | 35 | 3 | | 36 | 19 | | 37 | 16 | | 38 | 8 | | 39 | 10 | | 40 | 17 | | 41 | 25 | | 42 | 8 | | 43 | 1 | | 44 | 5 | | 45 | 6 | | 46 | 8 | | 47 | 5 | | 48 | 25 | | 49 | 19 |
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| 44.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 28 | | diversityRatio | 0.33204633204633205 | | totalSentences | 259 | | uniqueOpeners | 86 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 16 | | totalSentences | 207 | | matches | | 0 | "Even the city had dropped" | | 1 | "Just a line in neat," | | 2 | "Instead she had pulled on" | | 3 | "Again the sound went nowhere." | | 4 | "Too many stars." | | 5 | "Somewhere to her left, a" | | 6 | "Then stagnant water." | | 7 | "Then something old, mineral, sealed" | | 8 | "Too tall for a child." | | 9 | "Too narrow for a deer." | | 10 | "Then, far beyond the birches," | | 11 | "More like reeds keening through" | | 12 | "Then not white but colourless," | | 13 | "Only star-packed black, the same" | | 14 | "Then every flower in the" | | 15 | "Then, from somewhere just behind" |
| | ratio | 0.077 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 207 | | matches | | 0 | "She stopped with one trainer" | | 1 | "Her own voice fell flat." | | 2 | "She put the phone in" | | 3 | "She drew it free on" | | 4 | "She should have burned the" | | 5 | "She knew that." | | 6 | "She resisted the urge to" | | 7 | "She would have remembered a" | | 8 | "They formed tight white knots" | | 9 | "She leaned in." | | 10 | "Her own face surfaced beside" | | 11 | "She jerked back." | | 12 | "Her face stretched, thinned, vanished." | | 13 | "She took two steps back." | | 14 | "She held her breath and" | | 15 | "She did not draw it." | | 16 | "She took three fast strides" | | 17 | "Her words came sharper now," | | 18 | "It felt occupied." | | 19 | "She listened so hard her" |
| | ratio | 0.222 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 143 | | totalSentences | 207 | | matches | | 0 | "Aurora stepped past the ancient" | | 1 | "She stopped with one trainer" | | 2 | "Wildflowers covered the ground in" | | 3 | "The scent hung heavy and" | | 4 | "Rory let out a slow" | | 5 | "Her own voice fell flat." | | 6 | "The clearing swallowed it." | | 7 | "London had vanished ten steps" | | 8 | "She put the phone in" | | 9 | "The Heartstone sat warm against" | | 10 | "The deep crimson gem held" | | 11 | "She drew it free on" | | 12 | "The note had been slipped" | | 13 | "She should have burned the" | | 14 | "She knew that." | | 15 | "An anonymous message after the" | | 16 | "Curiosity had always beaten caution" | | 17 | "The standing stones sat behind" | | 18 | "The great oak trunks woven" | | 19 | "She resisted the urge to" |
| | ratio | 0.691 | |
| 72.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 207 | | matches | | 0 | "If you want answers about" | | 1 | "Now caution stood at her" | | 2 | "If there was a lesson" |
| | ratio | 0.014 | |
| 97.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 78 | | technicalSentenceCount | 5 | | matches | | 0 | "Every few steps the pendant gave a faint pulse, a steady, watchful warmth, as though it recognised the place and did not care for it." | | 1 | "They formed tight white knots she did not recognise, crowded together as if someone had shaken the heavens and let them settle in a new pattern." | | 2 | "A narrow track cut through them from the basin to the stones, stems bent flat as if something had just passed over them." | | 3 | "It remained all reflection and no substance, yet it watched her with a focus that turned her stomach." | | 4 | "A low wet note that made the grass at Rory’s feet quiver and the pendant blaze against her hand." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 20 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.5 | | effectiveRatio | 0.1 | |