| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory's breath tore apart [apart]" |
| | dialogueSentences | 28 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0.091 | | effectiveRatio | 0.071 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1258 | | 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) | |
| 76.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1258 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "whisper" | | 1 | "footsteps" | | 2 | "warmth" | | 3 | "footfall" |
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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 | 88 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 88 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1271 | | 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 | 33 | | wordCount | 1034 | | uniqueNames | 12 | | maxNameDensity | 0.77 | | worstName | "Isolde" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Isolde" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Isolde | 8 | | December | 2 | | Nyx | 7 | | Rory | 7 | | Shade | 2 | | Heathrow | 1 | | Grove | 1 | | Grass | 1 | | Heartstone | 1 | | Deeper | 1 |
| | persons | | 0 | "Isolde" | | 1 | "December" | | 2 | "Nyx" | | 3 | "Rory" | | 4 | "Shade" | | 5 | "Grove" | | 6 | "Grass" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Heathrow" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1271 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 28.24 | | std | 22.52 | | cv | 0.797 | | sampleLengths | | 0 | 11 | | 1 | 58 | | 2 | 10 | | 3 | 26 | | 4 | 57 | | 5 | 33 | | 6 | 2 | | 7 | 37 | | 8 | 5 | | 9 | 12 | | 10 | 18 | | 11 | 57 | | 12 | 15 | | 13 | 32 | | 14 | 14 | | 15 | 3 | | 16 | 90 | | 17 | 25 | | 18 | 11 | | 19 | 86 | | 20 | 24 | | 21 | 50 | | 22 | 8 | | 23 | 42 | | 24 | 7 | | 25 | 60 | | 26 | 42 | | 27 | 6 | | 28 | 4 | | 29 | 26 | | 30 | 74 | | 31 | 31 | | 32 | 10 | | 33 | 27 | | 34 | 18 | | 35 | 44 | | 36 | 3 | | 37 | 35 | | 38 | 10 | | 39 | 55 | | 40 | 15 | | 41 | 39 | | 42 | 8 | | 43 | 22 | | 44 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 74.21% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 159 | | matches | | 0 | "was blooming " | | 1 | "was wearing" | | 2 | "was still counting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 2 | | flaggedSentences | 12 | | totalSentences | 105 | | ratio | 0.114 | | matches | | 0 | "Spirals had been cut deep into every face, and beneath the spirals ran lines like writing — script that rearranged itself when she looked away." | | 1 | "Pressure first — deep-water pressure, the kind that popped ears and squeezed behind the eyes — then every sound dropped away." | | 2 | "December stayed somewhere behind her ribs; here the air tasted of honey and rain on hot stone, thick enough to chew." | | 3 | "Beyond her boots the meadow ran on and on, and it was blooming — in winter, under a winter moon — flowers in blues she had no names for, white ones with throats of gold, and every blossom in the nearest bed had turned to face her." | | 4 | "The trees were oaks here too, but oaks grown drunk on centuries — trunks wide as sheds, bark silvered and coiled into whorls that almost spelled something and never did." | | 5 | "One clear note, then another, and the whole glade answered — harmonics rolling through the ground, up through her shins, into her teeth, a chord the size of a cathedral." | | 6 | "Its roots reared out of the earth and plunged back down like a wave frozen mid-break, and in its bark, at the height of Rory's eyes, knots had formed — dozens of them, arranged in rows, each one shaped like a closed eye." | | 7 | "Isolde stood at its edge and the water did not know she was there — no ripple, no reflection, though it gave back everything else." | | 8 | "Her sky held one moon; the water held three, two white and one the colour of a bruise, hung over constellations no sailor had ever steered by." | | 9 | "She looked up — shadow, violet eyes, six feet of nothing solid." | | 10 | "She looked down — the man, and beside him a woman in a winter coat with a crimson pendant at her throat, both lit by three moons." | | 11 | "Went still in the way shadow cannot hold stillness — every wisp of them frozen mid-drift, a photograph of smoke." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1031 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03297769156159069 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002909796314258002 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 12.1 | | std | 9.52 | | cv | 0.787 | | sampleLengths | | 0 | 11 | | 1 | 3 | | 2 | 24 | | 3 | 31 | | 4 | 10 | | 5 | 9 | | 6 | 11 | | 7 | 6 | | 8 | 8 | | 9 | 24 | | 10 | 25 | | 11 | 8 | | 12 | 1 | | 13 | 13 | | 14 | 11 | | 15 | 2 | | 16 | 14 | | 17 | 23 | | 18 | 5 | | 19 | 12 | | 20 | 11 | | 21 | 7 | | 22 | 17 | | 23 | 40 | | 24 | 2 | | 25 | 5 | | 26 | 8 | | 27 | 10 | | 28 | 22 | | 29 | 6 | | 30 | 8 | | 31 | 3 | | 32 | 21 | | 33 | 6 | | 34 | 7 | | 35 | 5 | | 36 | 13 | | 37 | 8 | | 38 | 23 | | 39 | 7 | | 40 | 4 | | 41 | 21 | | 42 | 6 | | 43 | 5 | | 44 | 5 | | 45 | 19 | | 46 | 47 | | 47 | 3 | | 48 | 12 | | 49 | 7 |
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| 90.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5728155339805825 | | totalSentences | 103 | | uniqueOpeners | 59 | |
| 86.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 77 | | matches | | 0 | "Then the Grove filled her" | | 1 | "Only more grove, closing behind" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 77 | | matches | | 0 | "Her hair reached her waist" | | 1 | "She laid a palm against" | | 2 | "She snatched her hand back" | | 3 | "Their violet eyes dimmed, flared," | | 4 | "She saw moon, branches, sky." | | 5 | "She laced her fingers through" | | 6 | "She stepped through." | | 7 | "Her own footsteps crunching frost." | | 8 | "She turned a full circle" | | 9 | "She checked her phone out" | | 10 | "She put it away and" | | 11 | "She pressed a thumb to" | | 12 | "She stood still until it" | | 13 | "Its roots reared out of" | | 14 | "She turned to fix the" | | 15 | "Her voice cracked on the" | | 16 | "Her sky held one moon;" | | 17 | "She was still counting moons" | | 18 | "He stood beside her in" | | 19 | "His eyes were closed, and" |
| | ratio | 0.299 | |
| 63.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 77 | | matches | | 0 | "Frost silvered Richmond Park, and" | | 1 | "Rory checked twice." | | 2 | "The grass behind the seer" | | 3 | "Nyx kept pace beside her" | | 4 | "Rory's breath tore apart in" | | 5 | "Isolde didn't turn" | | 6 | "Her hair reached her waist" | | 7 | "The stones rose out of" | | 8 | "Spirals had been cut deep" | | 9 | "She laid a palm against" | | 10 | "She snatched her hand back" | | 11 | "Isolde stopped between two of" | | 12 | "Nyx halted at the line" | | 13 | "Their violet eyes dimmed, flared," | | 14 | "The whisper arrived from everywhere" | | 15 | "She saw moon, branches, sky." | | 16 | "Whatever the Shade saw stayed" | | 17 | "Nyx extended a hand, fingers" | | 18 | "She laced her fingers through" | | 19 | "She stepped through." |
| | ratio | 0.792 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | | ratio | 0.013 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "Spirals had been cut deep into every face, and beneath the spirals ran lines like writing — script that rearranged itself when she looked away." | | 1 | "Blood-warm, on a December night that had turned her car doors into slabs." | | 2 | "Pressure first — deep-water pressure, the kind that popped ears and squeezed behind the eyes — then every sound dropped away." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |