| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.293 | | leniency | 0.585 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.70% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 943 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 68.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 943 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "comforting" | | 1 | "whisper" | | 2 | "pulsed" | | 3 | "pulse" | | 4 | "chill" |
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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 | 39 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 39 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 65 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 949 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 675 | | uniqueNames | 9 | | maxNameDensity | 1.48 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Isolde" | | discoveredNames | | Rory | 10 | | Cardiff | 1 | | London | 1 | | Heartstone | 1 | | Pendant | 1 | | Hel | 1 | | Isolde | 8 | | Nyx | 6 | | Fae-forged | 1 |
| | persons | | 0 | "Rory" | | 1 | "Pendant" | | 2 | "Isolde" | | 3 | "Nyx" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "Hel" |
| | globalScore | 0.759 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 26 | | glossingSentenceCount | 3 | | matches | | 0 | "something like a spiral, each one taller tha" | | 1 | "not quite a smile" | | 2 | "quite wonder but ran close to it" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 3.161 | | wordCount | 949 | | matches | | 0 | "not toward the light, because there was no single source of light to turn toward, but toward *her*, tracking her the way a sunflower tracked the s" | | 1 | "no longer marking a boundary but" | | 2 | "not toward Rory, this time, but toward the far tree line" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 65 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 21.57 | | std | 19.52 | | cv | 0.905 | | sampleLengths | | 0 | 19 | | 1 | 7 | | 2 | 28 | | 3 | 31 | | 4 | 46 | | 5 | 3 | | 6 | 32 | | 7 | 23 | | 8 | 6 | | 9 | 7 | | 10 | 65 | | 11 | 3 | | 12 | 12 | | 13 | 30 | | 14 | 3 | | 15 | 3 | | 16 | 3 | | 17 | 28 | | 18 | 50 | | 19 | 25 | | 20 | 8 | | 21 | 39 | | 22 | 4 | | 23 | 5 | | 24 | 55 | | 25 | 19 | | 26 | 3 | | 27 | 39 | | 28 | 37 | | 29 | 4 | | 30 | 1 | | 31 | 22 | | 32 | 34 | | 33 | 83 | | 34 | 5 | | 35 | 36 | | 36 | 5 | | 37 | 9 | | 38 | 45 | | 39 | 22 | | 40 | 1 | | 41 | 3 | | 42 | 5 | | 43 | 41 |
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| 96.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 39 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 111 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 65 | | ratio | 0.092 | | matches | | 0 | "Every few feet, a flower turned its face toward her — not toward the light, because there was no single source of light to turn toward, but toward *her*, tracking her the way a sunflower tracked the sun." | | 1 | "They found her without looking, the way Rory suspected everyone found Isolde — she simply became visible, sitting on a fallen log silvered with a moss that pulsed faintly, in and out, like a heartbeat." | | 2 | "They went deeper, past trees that had bark like poured glass, translucent enough that Rory could see shapes moving inside the trunks — slow, coiling shapes, the size of her forearm, drifting upward through the wood like fish through water." | | 3 | "The path — if it was a path, if anything here deserved so plain a word — opened into a clearing bathed in light with no visible sun, and Rory's breath caught properly for the first time since stepping through the oaks." | | 4 | "Wildflowers didn't just bloom here; they moved in slow unison, a field of colour breathing in time with the pulsing moss, in time with the stones, in time, she realised with a chill crawling up her spine, with her own heartbeat." | | 5 | "As if in answer, the flowers all turned at once — not toward Rory, this time, but toward the far tree line, where the shadows between the trunks had gone a deeper black than shadow should allow, thick as poured ink, and utterly, unnervingly still." |
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| 87.11% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 676 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.05473372781065089 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.016272189349112426 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 65 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 65 | | mean | 14.6 | | std | 12.58 | | cv | 0.862 | | sampleLengths | | 0 | 19 | | 1 | 4 | | 2 | 3 | | 3 | 5 | | 4 | 21 | | 5 | 2 | | 6 | 19 | | 7 | 12 | | 8 | 30 | | 9 | 16 | | 10 | 3 | | 11 | 32 | | 12 | 9 | | 13 | 14 | | 14 | 6 | | 15 | 7 | | 16 | 2 | | 17 | 25 | | 18 | 38 | | 19 | 3 | | 20 | 4 | | 21 | 8 | | 22 | 27 | | 23 | 3 | | 24 | 3 | | 25 | 3 | | 26 | 3 | | 27 | 26 | | 28 | 2 | | 29 | 35 | | 30 | 15 | | 31 | 25 | | 32 | 8 | | 33 | 23 | | 34 | 16 | | 35 | 4 | | 36 | 4 | | 37 | 1 | | 38 | 40 | | 39 | 15 | | 40 | 19 | | 41 | 3 | | 42 | 32 | | 43 | 7 | | 44 | 37 | | 45 | 4 | | 46 | 1 | | 47 | 20 | | 48 | 2 | | 49 | 22 |
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| 67.18% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.47692307692307695 | | totalSentences | 65 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 30 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 30 | | matches | | 0 | "It hung low and violet-grey," | | 1 | "She stopped walking." | | 2 | "They found her without looking," | | 3 | "Her bare feet rested in" | | 4 | "They went deeper, past trees" | | 5 | "She reached out despite herself" | | 6 | "She struggled for the word," |
| | ratio | 0.233 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 28 | | totalSentences | 30 | | matches | | 0 | "Rory ducked under the low-hanging" | | 1 | "The sky wasn't a sky." | | 2 | "It hung low and violet-grey," | | 3 | "Nyx said, their voice sliding" | | 4 | "Rory turned to check that" | | 5 | "The Heartstone Pendant sat warm" | | 6 | "Nyx said, catching the gesture" | | 7 | "The grass didn't so much" | | 8 | "Every few feet, a flower" | | 9 | "Something answered from deep in" | | 10 | "She stopped walking." | | 11 | "A ripple of dark humour" | | 12 | "They found her without looking," | | 13 | "Her bare feet rested in" | | 14 | "Isolde rose without any visible" | | 15 | "Rory glanced at Nyx." | | 16 | "They went deeper, past trees" | | 17 | "She reached out despite herself" | | 18 | "Isolde's lavender eyes didn't blink" | | 19 | "The standing stones grew thicker" |
| | ratio | 0.933 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 30 | | matches | | | ratio | 0.033 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 2 | | matches | | 0 | "They went deeper, past trees that had bark like poured glass, translucent enough that Rory could see shapes moving inside the trunks — slow, coiling shapes, the…" | | 1 | "As if in answer, the flowers all turned at once — not toward Rory, this time, but toward the far tree line, where the shadows between the trunks had gone a deep…" |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "Isolde's mouth curved, not quite a smile" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.195 | | leniency | 0.39 | | rawRatio | 0 | | effectiveRatio | 0 | |