| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1075 | | totalAiIsmAdverbs | 4 | | 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) | |
| 53.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1075 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "lurch" | | 1 | "echo" | | 2 | "silence" | | 3 | "pulsed" | | 4 | "throb" | | 5 | "weight" | | 6 | "predator" | | 7 | "sense of" | | 8 | "trembled" | | 9 | "perfect" |
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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 | 69 | | matches | (empty) | |
| 39.34% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 2 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 75 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1087 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 1055 | | uniqueNames | 9 | | maxNameDensity | 0.47 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Park | 1 | | Ham | 1 | | Gate | 1 | | Heartstone | 3 | | Pendant | 1 | | Rory | 5 | | Hel | 1 | | Isolde | 2 | | London | 1 |
| | persons | | 0 | "Gate" | | 1 | "Heartstone" | | 2 | "Pendant" | | 3 | "Rory" | | 4 | "Isolde" |
| | places | | 0 | "Park" | | 1 | "Ham" | | 2 | "Hel" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.92 | | wordCount | 1087 | | matches | | 0 | "not immediately, but with a small, cold lurch once it registered" |
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| 75.34% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 73 | | matches | | 0 | "learned that much" | | 1 | "understood that whatever" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 33.97 | | std | 21.61 | | cv | 0.636 | | sampleLengths | | 0 | 52 | | 1 | 72 | | 2 | 17 | | 3 | 55 | | 4 | 46 | | 5 | 7 | | 6 | 60 | | 7 | 10 | | 8 | 22 | | 9 | 46 | | 10 | 36 | | 11 | 6 | | 12 | 46 | | 13 | 6 | | 14 | 6 | | 15 | 28 | | 16 | 52 | | 17 | 31 | | 18 | 25 | | 19 | 11 | | 20 | 57 | | 21 | 50 | | 22 | 8 | | 23 | 10 | | 24 | 20 | | 25 | 55 | | 26 | 51 | | 27 | 32 | | 28 | 8 | | 29 | 23 | | 30 | 58 | | 31 | 81 |
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| 95.09% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 69 | | matches | | 0 | "been switched" | | 1 | "being examined" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 180 | | matches | | 0 | "was going" | | 1 | "was breathing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 73 | | ratio | 0.151 | | matches | | 0 | "Rory found the standing stones by the smell first — wet moss and something sweeter underneath, like fruit gone soft." | | 1 | "She'd felt it flare hours ago in her flat, sharp enough to make her drop her fork, and she'd known — the way you know a phone ringing at 3 a.m." | | 2 | "is never good news — that something on the other side of that boundary wanted her attention." | | 3 | "She stepped between two of the largest and the temperature dropped — not cold exactly, just absence, like walking into a room where the heating had never once been switched on." | | 4 | "She noticed the wrongness the way you notice a word misspelled in a book you've read before — not immediately, but with a small, cold lurch once it registered." | | 5 | "Isolde rarely came when called; she arrived, unannounced, already mid-sentence as though the conversation had been going on for hours before Rory noticed she was in it." | | 6 | "The grass didn't rustle under her boots the way it should have — a half-beat too late, like the sound had to travel from somewhere else to catch up with her feet." | | 7 | "Not a flare — a slow throb, once, twice, in time with something that wasn't her own heartbeat, because hers was going twice that fast." | | 8 | "She'd learned that much from three years of London nights and one very bad boyfriend — turning fast told a predator you'd seen it." | | 9 | "That was almost worse than if it had — a held breath instead of a scare that came and passed." | | 10 | "She took a step back toward the stones she'd come in through, and behind her — from the direction of the entrance, from the only way out — came the low, wet sound of something breathing that had far too much air in its lungs to be anything her eyes could account for in this empty, silver-lit clearing." |
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| 88.33% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1050 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 56 | | adverbRatio | 0.05333333333333334 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.012380952380952381 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 14.89 | | std | 13.63 | | cv | 0.915 | | sampleLengths | | 0 | 20 | | 1 | 32 | | 2 | 8 | | 3 | 2 | | 4 | 14 | | 5 | 31 | | 6 | 17 | | 7 | 12 | | 8 | 5 | | 9 | 24 | | 10 | 31 | | 11 | 9 | | 12 | 16 | | 13 | 6 | | 14 | 15 | | 15 | 7 | | 16 | 29 | | 17 | 4 | | 18 | 3 | | 19 | 24 | | 20 | 10 | | 21 | 3 | | 22 | 4 | | 23 | 10 | | 24 | 5 | | 25 | 5 | | 26 | 27 | | 27 | 7 | | 28 | 7 | | 29 | 4 | | 30 | 32 | | 31 | 6 | | 32 | 2 | | 33 | 44 | | 34 | 1 | | 35 | 5 | | 36 | 3 | | 37 | 3 | | 38 | 3 | | 39 | 25 | | 40 | 7 | | 41 | 30 | | 42 | 15 | | 43 | 5 | | 44 | 7 | | 45 | 19 | | 46 | 6 | | 47 | 19 | | 48 | 11 | | 49 | 4 |
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| 59.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4246575342465753 | | totalSentences | 73 | | uniqueOpeners | 31 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 62 | | matches | | 0 | "Just the grove, the stones," | | 1 | "Somewhere behind her, soft as" | | 2 | "Actually burned, a small vicious" |
| | ratio | 0.048 | |
| 65.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 62 | | matches | | 0 | "She'd felt it flare hours" | | 1 | "she said, mostly to hear" | | 2 | "She stepped between two of" | | 3 | "She'd been here a dozen" | | 4 | "She knew the particular hush" | | 5 | "She noticed the wrongness the" | | 6 | "They were turned." | | 7 | "Her voice didn't echo." | | 8 | "It just stopped, swallowed a" | | 9 | "She worried, a little, about" | | 10 | "She moved further in." | | 11 | "She'd never felt it do" | | 12 | "It reacted to Hel portals," | | 13 | "She looked down at the" | | 14 | "She didn't turn immediately." | | 15 | "She'd learned that much from" | | 16 | "She let her eyes drift" | | 17 | "It belonged to nothing standing" | | 18 | "she said, quieter now, less" | | 19 | "She had the distinct, skin-crawling" |
| | ratio | 0.387 | |
| 64.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 62 | | matches | | 0 | "Rory found the standing stones" | | 1 | "Richmond Park had closed hours" | | 2 | "The Heartstone Pendant sat warm" | | 3 | "She'd felt it flare hours" | | 4 | "she said, mostly to hear" | | 5 | "The oaks stood the way" | | 6 | "She stepped between two of" | | 7 | "The grove opened up the" | | 8 | "Wildflowers, closed for the night," | | 9 | "She'd been here a dozen" | | 10 | "She knew the particular hush" | | 11 | "Tonight the hush had teeth" | | 12 | "She noticed the wrongness the" | | 13 | "The flowers weren't closed." | | 14 | "They were turned." | | 15 | "Every bloom in the clearing" | | 16 | "Rory stood very still and" | | 17 | "Her voice didn't echo." | | 18 | "It just stopped, swallowed a" | | 19 | "Nothing answered, which was normal." |
| | ratio | 0.79 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | | ratio | 0.016 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 9 | | matches | | 0 | "Wildflowers, closed for the night, silver-blue under a moon that hung too low and too large." | | 1 | "Isolde rarely came when called; she arrived, unannounced, already mid-sentence as though the conversation had been going on for hours before Rory noticed she wa…" | | 2 | "Nothing there but oak and shadow, and the shadow held the shape of the tree exactly the way a shadow should, and yet she found herself counting the trees, as th…" | | 3 | "Not a flare — a slow throb, once, twice, in time with something that wasn't her own heartbeat, because hers was going twice that fast." | | 4 | "It reacted to Hel portals, Isolde had told her once, in that offhand way the fae had of delivering vital information as though it were gossip about a mutual fri…" | | 5 | "When she did turn, slow, deliberate, there was a second shadow lying beside the nearest oak that had no earthly business being there." | | 6 | "They simply shivered, all together, roots and stems flinching in unison, and somewhere under the earth, faint as a held note, she heard something that might hav…" | | 7 | "Actually burned, a small vicious point of heat against her sternum, and she pressed her palm flat over it without thinking, as though she could smother a fire." | | 8 | "She made herself walk, fast, deliberate, toward the gap in the oaks, every hair on her arms standing up under her jacket, the Heartstone scalding a small perfec…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 9 | | tagDensity | 0.556 | | leniency | 1 | | rawRatio | 0.4 | | effectiveRatio | 0.4 | |