| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1478 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "perfectly" |
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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) | |
| 32.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1478 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "familiar" | | 1 | "silence" | | 2 | "glinting" | | 3 | "chill" | | 4 | "pulsed" | | 5 | "rhythmic" | | 6 | "warmth" | | 7 | "weight" | | 8 | "scanned" | | 9 | "flicker" | | 10 | "echoed" | | 11 | "searing" | | 12 | "throbbed" | | 13 | "macabre" | | 14 | "whisper" | | 15 | "racing" |
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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 | 123 | | matches | (empty) | |
| 96.40% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 123 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 11 | | totalWords | 1467 | | ratio | 0.007 | | matches | | 0 | "clink" | | 1 | "Malphora." | | 2 | "Clink." | | 3 | "Think, Rory. Out of the box." | | 4 | "clink-slid-clink" | | 5 | "Malphora" |
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| 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 | 38 | | wordCount | 1446 | | uniqueNames | 14 | | maxNameDensity | 0.83 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | London | 2 | | Silas | 3 | | Richmond | 2 | | Park | 2 | | Grove | 3 | | Cardiff | 2 | | Evan | 1 | | Heartstone | 5 | | Pendant | 2 | | Golden | 1 | | Empress | 1 | | July | 1 | | Yu-Fei | 1 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Evan" | | 3 | "Empress" | | 4 | "Yu-Fei" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Cardiff" | | 4 | "Golden" | | 5 | "July" |
| | globalScore | 1 | | windowScore | 1 | |
| 67.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a joke" | | 1 | "quite align with the objects creating them" | | 2 | "tasted like iron and ozone" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1467 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 35.78 | | std | 22.86 | | cv | 0.639 | | sampleLengths | | 0 | 70 | | 1 | 94 | | 2 | 56 | | 3 | 58 | | 4 | 60 | | 5 | 18 | | 6 | 40 | | 7 | 54 | | 8 | 50 | | 9 | 15 | | 10 | 36 | | 11 | 16 | | 12 | 59 | | 13 | 5 | | 14 | 53 | | 15 | 38 | | 16 | 6 | | 17 | 40 | | 18 | 26 | | 19 | 42 | | 20 | 1 | | 21 | 12 | | 22 | 72 | | 23 | 26 | | 24 | 25 | | 25 | 36 | | 26 | 12 | | 27 | 63 | | 28 | 7 | | 29 | 54 | | 30 | 16 | | 31 | 55 | | 32 | 6 | | 33 | 23 | | 34 | 31 | | 35 | 28 | | 36 | 39 | | 37 | 6 | | 38 | 8 | | 39 | 36 | | 40 | 75 |
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| 93.85% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 123 | | matches | | 0 | "been frozen" | | 1 | "was gone" | | 2 | "being surged" | | 3 | "was gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 10 | | totalVerbs | 237 | | matches | | 0 | "was vibrating" | | 1 | "were swallowing" | | 2 | "were testing" | | 3 | "were lengthening" | | 4 | "wasn't standing" | | 5 | "was waiting" | | 6 | "was pointing" | | 7 | "wasn't just glowing" | | 8 | "was standing" | | 9 | "was still holding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 4 | | flaggedSentences | 14 | | totalSentences | 125 | | ratio | 0.112 | | matches | | 0 | "Behind her, the familiar hum of London—the distant growl of the A3, the orange city glow, the comfort of exhaust-fumed air—snapped shut like a heavy book." | | 1 | "The air felt thick, more liquid than gas, and the wildflowers beneath her boots—primroses and violets that had no business blooming in the biting chill of late autumn—glowed with a soft, bioluminescent pallor." | | 2 | "Their bark didn’t twist with growth; it looked warped, as if the wood had been frozen mid-scream." | | 3 | "It pulsed with a steady, rhythmic warmth—like a heartbeat." | | 4 | "As she approached, a sound caught her ear—a sharp, metallic *clink*." | | 5 | "It was no longer empty; it was expectant." | | 6 | "She saw it then—a flicker of something white at the edge of her vision." | | 7 | "A soft, wet sound echoed from behind her—the sound of a boot pulling out of thick mud." | | 8 | "Not human—at least, she hoped not—but thousands of tiny, delicate ribs and skulls of birds and small forest creatures, knitted together like a macabre carpet." | | 9 | "It wasn't just glowing; it was pointing." | | 10 | "She could see the park on the other side—the dark silhouettes of regular trees, the distant glow of a streetlamp." | | 11 | "It didn't cry out; it didn't even stumble." | | 12 | "On the dark fabric of her coat, right where the thing had grabbed her, was a handprint of fine, white powder—crushed bone." | | 13 | "But as she walked under the safety of the streetlamps, she couldn't shake the feeling that the name she’d heard—*Malphora*—wasn't a mistake." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1469 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy thumb-sized weight" |
| | adverbCount | 48 | | adverbRatio | 0.03267528931245745 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.009530292716133424 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 11.74 | | std | 7.6 | | cv | 0.647 | | sampleLengths | | 0 | 23 | | 1 | 26 | | 2 | 21 | | 3 | 11 | | 4 | 2 | | 5 | 30 | | 6 | 18 | | 7 | 33 | | 8 | 18 | | 9 | 26 | | 10 | 12 | | 11 | 6 | | 12 | 5 | | 13 | 17 | | 14 | 30 | | 15 | 7 | | 16 | 12 | | 17 | 15 | | 18 | 9 | | 19 | 17 | | 20 | 17 | | 21 | 1 | | 22 | 4 | | 23 | 13 | | 24 | 2 | | 25 | 4 | | 26 | 17 | | 27 | 13 | | 28 | 9 | | 29 | 21 | | 30 | 11 | | 31 | 2 | | 32 | 15 | | 33 | 3 | | 34 | 11 | | 35 | 6 | | 36 | 4 | | 37 | 9 | | 38 | 15 | | 39 | 6 | | 40 | 19 | | 41 | 11 | | 42 | 8 | | 43 | 8 | | 44 | 14 | | 45 | 10 | | 46 | 3 | | 47 | 4 | | 48 | 20 | | 49 | 8 |
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| 43.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.28 | | totalSentences | 125 | | uniqueOpeners | 35 | |
| 57.97% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 115 | | matches | | 0 | "Instead, she reached into her" | | 1 | "Only two minutes had passed" |
| | ratio | 0.017 | |
| 46.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 115 | | matches | | 0 | "She checked her watch, the" | | 1 | "She had promised Silas she’d" | | 2 | "It was an old habit," | | 3 | "She moved deeper into the" | | 4 | "Their bark didn’t twist with" | | 5 | "It pulsed with a steady," | | 6 | "It usually stayed dormant, a" | | 7 | "she whispered, her voice sounding" | | 8 | "She scanned the perimeter." | | 9 | "It was a rhythmic parting" | | 10 | "She needed the mountain ash" | | 11 | "She spotted a cluster near" | | 12 | "She turned slowly." | | 13 | "she called out" | | 14 | "It was no longer empty;" | | 15 | "She saw it then—a flicker" | | 16 | "It moved behind a tree" | | 17 | "She kept her eyes fixed" | | 18 | "She spun around, but the" | | 19 | "It throbbed a frantic, bloody" |
| | ratio | 0.435 | |
| 73.04% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 115 | | matches | | 0 | "A thin membrane of mist" | | 1 | "The silence that rushed in" | | 2 | "She checked her watch, the" | | 3 | "She had promised Silas she’d" | | 4 | "The air felt thick, more" | | 5 | "Rory adjusted the strap of" | | 6 | "It was an old habit," | | 7 | "Tonight, the skin felt tight," | | 8 | "She moved deeper into the" | | 9 | "The oaks here were wrong." | | 10 | "Their bark didn’t twist with" | | 11 | "A sudden heat flared against" | | 12 | "Rory reached up, fumbling under" | | 13 | "The deep crimson gem was" | | 14 | "It pulsed with a steady," | | 15 | "It usually stayed dormant, a" | | 16 | "she whispered, her voice sounding" | | 17 | "She scanned the perimeter." | | 18 | "The movement wasn't random." | | 19 | "It was a rhythmic parting" |
| | ratio | 0.774 | |
| 86.96% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 115 | | matches | | 0 | "Now, standing within the perimeter" | | 1 | "To her right, a patch" |
| | ratio | 0.017 | |
| 29.48% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 10 | | matches | | 0 | "The silence that rushed in to fill the void was heavy and cloying, smelling of crushed wildfowers and damp, ancient earth." | | 1 | "The air felt thick, more liquid than gas, and the wildflowers beneath her boots—primroses and violets that had no business blooming in the biting chill of late …" | | 2 | "Above, the canopy was so dense it blotted out the stars, yet a sourceless, silver light permeated the space, casting shadows that didn’t quite align with the ob…" | | 3 | "It was a rhythmic parting of the tall stalks, as if something heavy were testing the air." | | 4 | "The cool-headed logic that made her a favorite at the Golden Empress fought against the rising tide of adrenaline." | | 5 | "The Heartstone was now burning, a searing heat that forced her to pull it out and let it hang over her clothes." | | 6 | "It was a name she’d heard in dreams she couldn't remember, a name that tasted like iron and ozone." | | 7 | "It simply stood there, its head tilting with a sickening, audible snap of vertebrae." | | 8 | "The distance between the trees grew, the ground beneath her turning from bone to a viscous, grey sludge that tried to suck the shoes from her feet." | | 9 | "She scrambled to her feet, spinning around, her chest heaving." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she lied (lie)" | | 2 | "she hissed (hiss)" |
| | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |