| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1538 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "softly" | | 1 | "perfectly" | | 2 | "slightly" | | 3 | "very" | | 4 | "gently" |
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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) | |
| 21.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1538 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "weight" | | 1 | "whisper" | | 2 | "chaotic" | | 3 | "pulsed" | | 4 | "warmth" | | 5 | "rhythmic" | | 6 | "stark" | | 7 | "gloom" | | 8 | "silence" | | 9 | "structure" | | 10 | "crystal" | | 11 | "throb" | | 12 | "unreadable" | | 13 | "shimmered" | | 14 | "imposing" | | 15 | "oppressive" | | 16 | "intensity" | | 17 | "fractured" | | 18 | "determined" | | 19 | "resolve" | | 20 | "predictable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 101 | | matches | (empty) | |
| 86.28% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 101 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1541 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 87.13% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1193 | | uniqueNames | 12 | | maxNameDensity | 1.26 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 15 | | London | 1 | | November | 1 | | Isolde | 12 | | Heartstone | 3 | | Hel | 1 | | English | 1 | | Dymas | 1 | | Belphegor | 1 | | Fae-forged | 2 | | Nyx | 7 | | Evan | 1 |
| | persons | | 0 | "Rory" | | 1 | "Isolde" | | 2 | "Heartstone" | | 3 | "Belphegor" | | 4 | "Nyx" | | 5 | "Evan" |
| | places | | | globalScore | 0.871 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 5 | | matches | | 0 | "something like crushed mint and wet stone —" | | 1 | "looked like tiny, frozen flames" | | 2 | "looked like a tree had decided to grow in" | | 3 | "seemed carved from marbled fat and gemstones" | | 4 | "felt like a mask" |
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| 5.32% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.947 | | wordCount | 1541 | | matches | | 0 | "neither day nor" | | 1 | "not with the sharp warmth she associated with Hel portals, but with a cooler, rhythmic beat, like a slow, distant drum" | | 2 | "Not a clear picture, but impressions" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 42.81 | | std | 24.61 | | cv | 0.575 | | sampleLengths | | 0 | 77 | | 1 | 26 | | 2 | 43 | | 3 | 83 | | 4 | 16 | | 5 | 36 | | 6 | 55 | | 7 | 35 | | 8 | 21 | | 9 | 19 | | 10 | 69 | | 11 | 68 | | 12 | 17 | | 13 | 51 | | 14 | 45 | | 15 | 102 | | 16 | 10 | | 17 | 57 | | 18 | 7 | | 19 | 17 | | 20 | 47 | | 21 | 20 | | 22 | 22 | | 23 | 43 | | 24 | 45 | | 25 | 92 | | 26 | 36 | | 27 | 7 | | 28 | 24 | | 29 | 74 | | 30 | 24 | | 31 | 48 | | 32 | 60 | | 33 | 73 | | 34 | 26 | | 35 | 46 |
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| 94.84% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 101 | | matches | | 0 | "being watched" | | 1 | "were woven" | | 2 | "was caught" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 183 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 119 | | ratio | 0.067 | | matches | | 0 | "It wasn’t just the smell — from damp London park to something like crushed mint and wet stone — but the weight of it, as if the atmosphere had thickened." | | 1 | "Wildflowers bloomed in chaotic profusion — star-shaped blossoms of silver, bell-like flowers that chimed softly in a breeze Rory couldn’t feel, and ones that looked like tiny, frozen flames." | | 2 | "The wonder of the place was still there — the impossible beauty of it — but underpinning it was a stark, unsettling truth: this was not a place meant for humans." | | 3 | "There were sounds — the chime of the bell-flowers, the hum of the seed-creatures, the whisper of the strange leaves — but no bird calls." | | 4 | "No smoke rose from the chimney-like opening in the roof, but the scent of herbs and something sweet — like baking fruit — drifted out." | | 5 | "Then, a figure — large, imposing, seated on a throne that seemed carved from marbled fat and gemstones." | | 6 | "The vision seemed to have cost her something; her ethereal pallor was even more pronounced." | | 7 | "The alien beauty was still there — the glowing fungi, the chiming flowers — but now it felt like a mask." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1190 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.03361344537815126 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008403361344537815 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 12.95 | | std | 8.19 | | cv | 0.632 | | sampleLengths | | 0 | 16 | | 1 | 30 | | 2 | 20 | | 3 | 11 | | 4 | 21 | | 5 | 5 | | 6 | 8 | | 7 | 9 | | 8 | 12 | | 9 | 14 | | 10 | 5 | | 11 | 19 | | 12 | 10 | | 13 | 20 | | 14 | 29 | | 15 | 9 | | 16 | 7 | | 17 | 8 | | 18 | 28 | | 19 | 17 | | 20 | 21 | | 21 | 17 | | 22 | 5 | | 23 | 13 | | 24 | 17 | | 25 | 12 | | 26 | 9 | | 27 | 6 | | 28 | 13 | | 29 | 14 | | 30 | 4 | | 31 | 15 | | 32 | 28 | | 33 | 8 | | 34 | 12 | | 35 | 5 | | 36 | 20 | | 37 | 31 | | 38 | 13 | | 39 | 4 | | 40 | 4 | | 41 | 4 | | 42 | 25 | | 43 | 2 | | 44 | 7 | | 45 | 9 | | 46 | 6 | | 47 | 11 | | 48 | 17 | | 49 | 11 |
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| 60.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3949579831932773 | | totalSentences | 119 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 93 | | matches | | 0 | "Further in, the trees began" | | 1 | "Then, like ink dispersing in" | | 2 | "Then, a figure — large," | | 3 | "Then the image fractured." |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 93 | | matches | | 0 | "It wasn’t just the smell" | | 1 | "It was neither day nor" | | 2 | "Her silver hair seemed to" | | 3 | "She left no footprints in" | | 4 | "They reached out a hand" | | 5 | "She knelt by the pool," | | 6 | "Her voice sounded too loud" | | 7 | "It hovered for a second," | | 8 | "It wasn’t fear, not exactly." | | 9 | "It was the feeling of" | | 10 | "She’d only just noticed." | | 11 | "She placed a hand on" | | 12 | "They emerged from the tunnel" | | 13 | "It looked like a tree" | | 14 | "Its walls were woven from" | | 15 | "It was a void." | | 16 | "Her ageless face was unreadable." | | 17 | "She moved to the pedestal" | | 18 | "She breathed a word onto" | | 19 | "His face was indistinct, but" |
| | ratio | 0.269 | |
| 62.15% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 93 | | matches | | 0 | "The air in the clearing" | | 1 | "It wasn’t just the smell" | | 2 | "The late afternoon light, which" | | 3 | "It was neither day nor" | | 4 | "Nyx’s whisper brushed against her" | | 5 | "Isolde walked ahead of them," | | 6 | "Her silver hair seemed to" | | 7 | "She left no footprints in" | | 8 | "The grove unfolded around them." | | 9 | "Trees Rory didn’t recognize towered" | | 10 | "The ground underfoot was spongy" | | 11 | "Wildflowers bloomed in chaotic profusion" | | 12 | "Isolde said without turning" | | 13 | "Rory kept her hands close" | | 14 | "The Heartstone pendant against her" | | 15 | "Nyx flowed past her, their" | | 16 | "They reached out a hand" | | 17 | "The water looked clear, but" | | 18 | "She knelt by the pool," | | 19 | "Her voice sounded too loud" |
| | ratio | 0.796 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 93 | | matches | | 0 | "As if the grove was" | | 1 | "To the side of the" |
| | ratio | 0.022 | |
| 30.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 8 | | matches | | 0 | "It wasn’t just the smell — from damp London park to something like crushed mint and wet stone — but the weight of it, as if the atmosphere had thickened." | | 1 | "The late afternoon light, which had been a flat November grey outside the stones, bled into a soft, perpetual twilight." | | 2 | "Wildflowers bloomed in chaotic profusion — star-shaped blossoms of silver, bell-like flowers that chimed softly in a breeze Rory couldn’t feel, and ones that lo…" | | 3 | "A door, shaped from a single curved piece of wood that looked both incredibly old and still alive, stood slightly ajar." | | 4 | "She breathed a word onto the water’s surface, a sound that had no English equivalent, all soft consonants and bell-like vowels." | | 5 | "Then, a figure — large, imposing, seated on a throne that seemed carved from marbled fat and gemstones." | | 6 | "The scene shifted to a long table groaning under platters of fantastical food, and around it, figures eating with a desperate, frantic intensity that had nothin…" | | 7 | "The cool-headed logic that had gotten her through law tutorials and Evan’s tirades kicked in." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory said, her voice firm" |
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| 89.39% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "Rory murmured (murmur)" | | 1 | "Isolde acknowledged (acknowledge)" |
| | dialogueSentences | 33 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.182 | | effectiveRatio | 0.121 | |