| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 89.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1488 | | totalAiIsmAdverbs | 3 | | 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) | |
| 19.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1488 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "chill" | | 1 | "warmth" | | 2 | "searing" | | 3 | "constructed" | | 4 | "pulse" | | 5 | "quickened" | | 6 | "throb" | | 7 | "silence" | | 8 | "trembled" | | 9 | "whisper" | | 10 | "weight" | | 11 | "pulsed" | | 12 | "flickered" | | 13 | "footfall" | | 14 | "echo" | | 15 | "perfect" | | 16 | "vibrated" | | 17 | "measured" |
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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 | 157 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 157 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 158 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1481 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1445 | | uniqueNames | 16 | | maxNameDensity | 0.48 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 3 | | Tonight | 1 | | Richmond | 2 | | Park | 2 | | Heartstone | 3 | | Pendant | 1 | | Silas | 1 | | Evan | 2 | | Cardiff | 2 | | Kingston | 2 | | Vale | 2 | | Jennifer | 1 | | Latin | 1 | | Aurora | 2 | | Brendan | 1 | | Rory | 7 |
| | persons | | 0 | "Carter" | | 1 | "Heartstone" | | 2 | "Pendant" | | 3 | "Silas" | | 4 | "Evan" | | 5 | "Vale" | | 6 | "Jennifer" | | 7 | "Aurora" | | 8 | "Brendan" | | 9 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "Kingston" |
| | globalScore | 1 | | windowScore | 1 | |
| 70.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 94 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a dare she intended to answer" | | 1 | "darkness that seemed to drink color rather than reflect it" | | 2 | "felt like miles" |
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| 64.96% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.35 | | wordCount | 1481 | | matches | | 0 | "Not a footfall this time, but a rustle" | | 1 | "Not for the vanished gap, but for the space between two oaks" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 158 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 44.88 | | std | 34.02 | | cv | 0.758 | | sampleLengths | | 0 | 54 | | 1 | 100 | | 2 | 94 | | 3 | 47 | | 4 | 6 | | 5 | 103 | | 6 | 7 | | 7 | 3 | | 8 | 127 | | 9 | 8 | | 10 | 72 | | 11 | 56 | | 12 | 14 | | 13 | 50 | | 14 | 1 | | 15 | 12 | | 16 | 98 | | 17 | 51 | | 18 | 68 | | 19 | 97 | | 20 | 39 | | 21 | 24 | | 22 | 30 | | 23 | 70 | | 24 | 27 | | 25 | 36 | | 26 | 33 | | 27 | 2 | | 28 | 40 | | 29 | 23 | | 30 | 46 | | 31 | 11 | | 32 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 157 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 272 | | matches | | |
| 16.27% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 2 | | flaggedSentences | 7 | | totalSentences | 158 | | ratio | 0.044 | | matches | | 0 | "The distant hum of the A3, the thump of a stereo from a passing car, the whisper of wind in bare branches—all of it cut out as if a door had slammed." | | 1 | "Her eyes—bright blue, prone to catching light—strained against a darkness that seemed to drink color rather than reflect it." | | 2 | "Roots didn’t burrow into it—they emerged from it, thick and white, pulsing with a peristaltic rhythm, like tendons flexing inside a wrist." | | 3 | "Her shoulder-length hair caught on something sticky above her; she jerked free and kept her eyes forward." | | 4 | "Her left wrist screamed; the crescent scar felt wet, freshly cut." | | 5 | "She acted before thought could stop her—before the cool-headed daughter of Brendan Carter could argue logic, before the frightened girl who had fled Cardiff could freeze." | | 6 | "This time, she heard its foot—or whatever served as one—press into the pale ground with a sound like a thumb sinking into an eye socket." |
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| 65.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 12 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 1 | | adverbRatio | 0.08333333333333333 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 158 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 158 | | mean | 9.37 | | std | 7.8 | | cv | 0.832 | | sampleLengths | | 0 | 7 | | 1 | 3 | | 2 | 37 | | 3 | 7 | | 4 | 26 | | 5 | 25 | | 6 | 17 | | 7 | 9 | | 8 | 23 | | 9 | 11 | | 10 | 22 | | 11 | 27 | | 12 | 5 | | 13 | 5 | | 14 | 24 | | 15 | 4 | | 16 | 2 | | 17 | 18 | | 18 | 8 | | 19 | 12 | | 20 | 3 | | 21 | 2 | | 22 | 1 | | 23 | 3 | | 24 | 8 | | 25 | 15 | | 26 | 33 | | 27 | 7 | | 28 | 10 | | 29 | 9 | | 30 | 13 | | 31 | 8 | | 32 | 7 | | 33 | 3 | | 34 | 2 | | 35 | 32 | | 36 | 7 | | 37 | 9 | | 38 | 2 | | 39 | 32 | | 40 | 3 | | 41 | 7 | | 42 | 15 | | 43 | 18 | | 44 | 8 | | 45 | 12 | | 46 | 1 | | 47 | 28 | | 48 | 6 | | 49 | 19 |
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| 44.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3227848101265823 | | totalSentences | 158 | | uniqueOpeners | 51 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 134 | | matches | | 0 | "Only the ring of oak-stones," | | 1 | "No longer warm." |
| | ratio | 0.015 | |
| 67.76% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 134 | | matches | | 0 | "It clarified things." | | 1 | "She stood at the southwestern" | | 2 | "It had started as a" | | 3 | "She’d asked Silas if he’d" | | 4 | "He’d only shrugged, polishing a" | | 5 | "She was twenty-five, cool-headed by" | | 6 | "She didn’t believe in magic." | | 7 | "She checked her phone." | | 8 | "She followed it." | | 9 | "They weren’t stones, exactly, but" | | 10 | "Her mother Jennifer would have" | | 11 | "They trembled, though the air" | | 12 | "She crossed between two of" | | 13 | "It pressed against her eardrums," | | 14 | "She rubbed the small crescent" | | 15 | "She tugged it from beneath" | | 16 | "It pulsed like a signal" | | 17 | "She turned, straight black hair" | | 18 | "She forced herself to look" | | 19 | "Her eyes—bright blue, prone to" |
| | ratio | 0.381 | |
| 71.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 134 | | matches | | 0 | "Aurora Carter had always trusted" | | 1 | "It clarified things." | | 2 | "Tonight, however, the cold had" | | 3 | "She stood at the southwestern" | | 4 | "It had started as a" | | 5 | "She’d asked Silas if he’d" | | 6 | "He’d only shrugged, polishing a" | | 7 | "Rory had kept it because" | | 8 | "She was twenty-five, cool-headed by" | | 9 | "She didn’t believe in magic." | | 10 | "She checked her phone." | | 11 | "The pendant’s pulse quickened, a" | | 12 | "She followed it." | | 13 | "The trees opened." | | 14 | "The grove waited in a" | | 15 | "They weren’t stones, exactly, but" | | 16 | "Violets, snow-white stars, and something" | | 17 | "Her mother Jennifer would have" | | 18 | "Rory only knew they had" | | 19 | "They trembled, though the air" |
| | ratio | 0.776 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 134 | | matches | | 0 | "Because after Evan, after Cardiff," | | 1 | "Now she counted again." |
| | ratio | 0.015 | |
| 21.56% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 9 | | matches | | 0 | "She was twenty-five, cool-headed by necessity, the daughter of a barrister who constructed arguments from stone and a teacher who believed every question had a …" | | 1 | "Behind her, Kingston Vale’s traffic had faded, swallowed by a fog that smelled of ozone and turned-up earth." | | 2 | "Violets, snow-white stars, and something crimson that caught the moonlight." | | 3 | "The distant hum of the A3, the thump of a stereo from a passing car, the whisper of wind in bare branches—all of it cut out as if a door had slammed." | | 4 | "Only the ring of oak-stones, their fissured surfaces forming patterns that might have been faces, or might have been knots in wood, depending on how long she st…" | | 5 | "The new one stood at her left shoulder, close enough to touch, its bark weeping a dark sap that smelled of copper and rotting honey." | | 6 | "The flowers to her right bent in a line, as if pressed down by a heavy, invisible weight moving toward her." | | 7 | "When she tried, her eyes slid off, her mind substituting bark and shadow, refusing to assemble the whole." | | 8 | "She acted before thought could stop her—before the cool-headed daughter of Brendan Carter could argue logic, before the frightened girl who had fled Cardiff cou…" |
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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 | |