| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 74.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1589 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "gently" | | 1 | "slightly" | | 2 | "very" | | 3 | "completely" | | 4 | "utterly" |
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| 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) | |
| 40.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1589 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "silence" | | 3 | "whisper" | | 4 | "footsteps" | | 5 | "dancing" | | 6 | "could feel" | | 7 | "fractured" | | 8 | "perfect" | | 9 | "charged" | | 10 | "searing" | | 11 | "throb" |
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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 | 1 | | narrationSentences | 153 | | matches | | |
| 30.81% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 9 | | narrationSentences | 153 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "seem to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 155 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1600 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1597 | | uniqueNames | 12 | | maxNameDensity | 0.88 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Aurora | 14 | | October | 2 | | Heartstone | 2 | | Pendant | 1 | | Petersham | 1 | | Road | 1 | | London | 1 | | Rory | 1 | | Fae | 1 | | Grove | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Pendant" | | 2 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "October" | | 3 | "Petersham" | | 4 | "Road" | | 5 | "London" | | 6 | "Fae" | | 7 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 5 | | matches | | 0 | "not quite" | | 1 | "head that seemed to rotate independently of its shoulders" | | 2 | "something that seemed to drink the light rather than reflect it" | | 3 | "felt like it would burn straight throug" | | 4 | "seemed fused to her skin" |
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| 75.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.25 | | wordCount | 1600 | | matches | | 0 | "not warm, not pulsing, but ice-cold" | | 1 | "not pulsing, but ice-cold" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 155 | | matches | | 0 | "dreams that the" | | 1 | "followed that pain" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 34.04 | | std | 25.26 | | cv | 0.742 | | sampleLengths | | 0 | 59 | | 1 | 46 | | 2 | 75 | | 3 | 5 | | 4 | 68 | | 5 | 2 | | 6 | 70 | | 7 | 20 | | 8 | 9 | | 9 | 80 | | 10 | 1 | | 11 | 35 | | 12 | 33 | | 13 | 25 | | 14 | 3 | | 15 | 88 | | 16 | 6 | | 17 | 57 | | 18 | 2 | | 19 | 26 | | 20 | 37 | | 21 | 53 | | 22 | 16 | | 23 | 2 | | 24 | 78 | | 25 | 13 | | 26 | 69 | | 27 | 6 | | 28 | 22 | | 29 | 44 | | 30 | 26 | | 31 | 4 | | 32 | 50 | | 33 | 13 | | 34 | 69 | | 35 | 46 | | 36 | 8 | | 37 | 50 | | 38 | 4 | | 39 | 50 | | 40 | 38 | | 41 | 42 | | 42 | 6 | | 43 | 44 | | 44 | 44 | | 45 | 39 | | 46 | 17 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 153 | | matches | | 0 | "were gone" | | 1 | "was surrounded" |
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| 50.19% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 267 | | matches | | 0 | "weren't doing" | | 1 | "was going " | | 2 | "were dying" | | 3 | "was failing" | | 4 | "was waiting" | | 5 | "were gathering" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 22 | | semicolonCount | 0 | | flaggedSentences | 16 | | totalSentences | 155 | | ratio | 0.103 | | matches | | 0 | "She shouldn't have been able to get in at all — the park closed at dusk this time of year — but the padlock had hung open on its chain, swinging gently as if someone had just passed through moments before." | | 1 | "The city noise that had followed her from the tube station — distant sirens, the white noise hum of traffic on the A307 — seemed to drop away the moment the gates closed." | | 2 | "She counted them without meaning to — thirty-seven, thirty-eight, thirty-nine — and somewhere around fifty she realized she couldn't hear anything else." | | 3 | "Aurora froze, her torch beam catching the animal's eyes — two flat discs of reflected light that didn't blink, didn't move, didn't look away." | | 4 | "The deer turned its head — wrong, wrong, heads don't turn that far — and walked into the darkness without a sound." | | 5 | "Grass crackled beneath her feet, each blade rimmed with ice that shouldn't have formed — it hadn't been cold enough, she'd checked the weather before leaving her flat." | | 6 | "She could feel it — eyes." | | 7 | "She didn't know where she was going — had lost the path completely — but the pendant burned hot against her chest now, hot enough to hurt, and she followed that pain through the frozen dark." | | 8 | "Wildflowers bloomed at their base — bluebells and foxglove and flowers she didn't recognize, impossible in October, their petals dusted with frost that didn't seem to touch them." | | 9 | "The pendant went cold against her chest — not warm, not pulsing, but ice-cold and utterly still, as if it had died." | | 10 | "She watched it happen in slow motion — petals curling inward, blackening at the edges, frost creeping up stems like a disease spreading through veins." | | 11 | "It didn't have a shape — not exactly." | | 12 | "She could see through it — see the dying flowers beyond, the frozen ground, the wall of night pressing in — but she could also see something else." | | 13 | "The pendant blazed hot against Aurora's chest, and she screamed — genuine pain now, searing heat that felt like it would burn straight through her ribs." | | 14 | "Its head tilted — that same wrong angle, the same inhuman curiosity she'd seen in the faces between the trees." | | 15 | "The shadow creature shifted — not back, not away, just shifted, its outline blurring and reforming as if uncertain how to proceed." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1586 | | adjectiveStacks | 2 | | stackExamples | | 0 | "flat, coin-bright eyes," | | 1 | "warm-cold-warm against her" |
| | adverbCount | 58 | | adverbRatio | 0.03656998738965952 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.011349306431273645 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 155 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 155 | | mean | 10.32 | | std | 8.92 | | cv | 0.864 | | sampleLengths | | 0 | 18 | | 1 | 41 | | 2 | 4 | | 3 | 33 | | 4 | 2 | | 5 | 1 | | 6 | 6 | | 7 | 17 | | 8 | 18 | | 9 | 22 | | 10 | 18 | | 11 | 5 | | 12 | 18 | | 13 | 2 | | 14 | 2 | | 15 | 26 | | 16 | 20 | | 17 | 2 | | 18 | 13 | | 19 | 22 | | 20 | 2 | | 21 | 2 | | 22 | 17 | | 23 | 14 | | 24 | 7 | | 25 | 13 | | 26 | 9 | | 27 | 24 | | 28 | 4 | | 29 | 20 | | 30 | 17 | | 31 | 15 | | 32 | 1 | | 33 | 7 | | 34 | 1 | | 35 | 4 | | 36 | 23 | | 37 | 22 | | 38 | 2 | | 39 | 4 | | 40 | 5 | | 41 | 12 | | 42 | 13 | | 43 | 2 | | 44 | 1 | | 45 | 5 | | 46 | 35 | | 47 | 28 | | 48 | 20 | | 49 | 6 |
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| 49.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.36129032258064514 | | totalSentences | 155 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 122 | | matches | | 0 | "Just her breath and her" | | 1 | "Just there, and then not." | | 2 | "Just watching her with those" | | 3 | "Only bark and shadow and" |
| | ratio | 0.033 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 122 | | matches | | 0 | "She shouldn't have been able" | | 1 | "She stood motionless, listening." | | 2 | "She pressed her palm flat" | | 3 | "She had to know why." | | 4 | "Her phone's torch cut a" | | 5 | "She counted them without meaning" | | 6 | "She adjusted her course slightly" | | 7 | "She knew it immediately, the" | | 8 | "Its proportions were slightly off," | | 9 | "It watched her with those" | | 10 | "She forced her feet forward." | | 11 | "She spun, torch sweeping left," | | 12 | "Her heart hammered against her" | | 13 | "She could feel it —" | | 14 | "Her heel caught on a" | | 15 | "They weren't moving." | | 16 | "They weren't doing anything." | | 17 | "She didn't know where she" | | 18 | "Her lungs screamed for air" | | 19 | "She burst through a wall" |
| | ratio | 0.27 | |
| 91.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 122 | | matches | | 0 | "The iron gates of Richmond" | | 1 | "She shouldn't have been able" | | 2 | "She stood motionless, listening." | | 3 | "The city noise that had" | | 4 | "The Heartstone Pendant pulsed once" | | 5 | "She pressed her palm flat" | | 6 | "The pendant had been doing" | | 7 | "Tonight, it had practically burned" | | 8 | "She had to know why." | | 9 | "The path stretched ahead of" | | 10 | "The light pollution that usually" | | 11 | "Her phone's torch cut a" | | 12 | "The gravel crunched beneath her" | | 13 | "She counted them without meaning" | | 14 | "The pendant warmed again, stronger" | | 15 | "She adjusted her course slightly" | | 16 | "A deer stood in the" | | 17 | "Aurora froze, her torch beam" | | 18 | "The deer was wrong." | | 19 | "She knew it immediately, the" |
| | ratio | 0.738 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 122 | | matches | (empty) | | ratio | 0 | |
| 56.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 66 | | technicalSentenceCount | 8 | | matches | | 0 | "The Heartstone Pendant pulsed once against her sternum, a flutter of warmth that made her breath catch." | | 1 | "The pendant pulsed warm-cold-warm against her chest in a rhythm that didn't match her heartbeat, and she followed it like a compass needle, leaving the gravel p…" | | 2 | "Grass crackled beneath her feet, each blade rimmed with ice that shouldn't have formed — it hadn't been cold enough, she'd checked the weather before leaving he…" | | 3 | "The standing stones rose from the frost like broken teeth, ancient oaks that had somehow petrified into smooth grey rock." | | 4 | "Wildflowers bloomed at their base — bluebells and foxglove and flowers she didn't recognize, impossible in October, their petals dusted with frost that didn't s…" | | 5 | "The pendant went cold against her chest — not warm, not pulsing, but ice-cold and utterly still, as if it had died." | | 6 | "The pendant blazed hot against Aurora's chest, and she screamed — genuine pain now, searing heat that felt like it would burn straight through her ribs." | | 7 | "The shadow creature shifted — not back, not away, just shifted, its outline blurring and reforming as if uncertain how to proceed." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |