| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1421 | | totalAiIsmAdverbs | 1 | | 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) | |
| 40.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1421 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "weight" | | 1 | "rhythmic" | | 2 | "pulse" | | 3 | "loomed" | | 4 | "sentinels" | | 5 | "silence" | | 6 | "echoed" | | 7 | "scanning" | | 8 | "pulsed" | | 9 | "vibrated" | | 10 | "searing" | | 11 | "comforting" | | 12 | "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 | 164 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 164 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 172 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 16 | | totalWords | 1414 | | ratio | 0.011 | | matches | | 0 | "Drag. Scrape. Drag." | | 1 | "Thump-thump. Thump-thump." | | 2 | "Drag. Scrape." | | 3 | "Look. Look. Look." | | 4 | "Wrong. Wrong. Wrong." | | 5 | "Give. It. Back." |
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| 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 | 25 | | wordCount | 1379 | | uniqueNames | 9 | | maxNameDensity | 0.8 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Park | 1 | | Aurora | 1 | | Pre-Law | 1 | | Heartstone | 4 | | Grove | 3 | | London | 2 | | Hel | 1 | | Closer | 1 | | Rory | 11 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Rory" |
| | places | | 0 | "Park" | | 1 | "Grove" | | 2 | "London" | | 3 | "Hel" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 102 | | glossingSentenceCount | 7 | | matches | | 0 | "looked like majestic sentinels of history" | | 1 | "looked like jagged teeth waiting to snap" | | 2 | "as if gasping for air" | | 3 | "sounded like a dry branch breaking, heavy" | | 4 | "something akin to it nearby" | | 5 | "sounded like a child giggling through a fa" | | 6 | "felt like a toothpick now" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.707 | | wordCount | 1414 | | matches | | 0 | "not black, but a bruised purple, swirling with clouds" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 172 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 21.75 | | std | 15.97 | | cv | 0.734 | | sampleLengths | | 0 | 57 | | 1 | 60 | | 2 | 9 | | 3 | 45 | | 4 | 39 | | 5 | 36 | | 6 | 52 | | 7 | 18 | | 8 | 55 | | 9 | 3 | | 10 | 24 | | 11 | 6 | | 12 | 28 | | 13 | 1 | | 14 | 9 | | 15 | 15 | | 16 | 54 | | 17 | 25 | | 18 | 2 | | 19 | 3 | | 20 | 26 | | 21 | 44 | | 22 | 12 | | 23 | 12 | | 24 | 6 | | 25 | 30 | | 26 | 19 | | 27 | 7 | | 28 | 40 | | 29 | 24 | | 30 | 2 | | 31 | 10 | | 32 | 16 | | 33 | 11 | | 34 | 40 | | 35 | 21 | | 36 | 39 | | 37 | 2 | | 38 | 25 | | 39 | 3 | | 40 | 17 | | 41 | 23 | | 42 | 5 | | 43 | 4 | | 44 | 30 | | 45 | 3 | | 46 | 47 | | 47 | 28 | | 48 | 33 | | 49 | 3 |
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| 92.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 164 | | matches | | 0 | "were twisted" | | 1 | "being pulled" | | 2 | "was gone" | | 3 | "were made" | | 4 | "was gone" | | 5 | "were gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 242 | | matches | | 0 | "was burning" | | 1 | "was twitching" | | 2 | "was contracting" | | 3 | "was trying" | | 4 | "was coming" | | 5 | "was searing" | | 6 | "was turning" | | 7 | "was cooling" |
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| 93.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 172 | | ratio | 0.017 | | matches | | 0 | "The ambient noise of the city—the distant hum of traffic on the A3, the sirens, the constant drone of London—vanished." | | 1 | "It didn't walk; it flowed, its body a blur of grey and brown that shifted like smoke in a breeze." | | 2 | "For a split second, the creature shrieked—a sound like tearing metal—and recoiled, shielding its faceless face with its many arms." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1387 | | adjectiveStacks | 1 | | stackExamples | | 0 | "slow, impossible counter-clockwise rotation." |
| | adverbCount | 40 | | adverbRatio | 0.02883922134102379 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.007209805335255948 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 172 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 172 | | mean | 8.22 | | std | 5.89 | | cv | 0.716 | | sampleLengths | | 0 | 8 | | 1 | 23 | | 2 | 15 | | 3 | 2 | | 4 | 9 | | 5 | 4 | | 6 | 36 | | 7 | 20 | | 8 | 9 | | 9 | 15 | | 10 | 11 | | 11 | 11 | | 12 | 8 | | 13 | 12 | | 14 | 10 | | 15 | 10 | | 16 | 7 | | 17 | 4 | | 18 | 20 | | 19 | 7 | | 20 | 5 | | 21 | 9 | | 22 | 6 | | 23 | 23 | | 24 | 10 | | 25 | 4 | | 26 | 5 | | 27 | 5 | | 28 | 8 | | 29 | 10 | | 30 | 13 | | 31 | 13 | | 32 | 19 | | 33 | 3 | | 34 | 9 | | 35 | 15 | | 36 | 6 | | 37 | 2 | | 38 | 10 | | 39 | 9 | | 40 | 7 | | 41 | 1 | | 42 | 9 | | 43 | 2 | | 44 | 13 | | 45 | 9 | | 46 | 18 | | 47 | 1 | | 48 | 1 | | 49 | 5 |
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| 36.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 24 | | diversityRatio | 0.29651162790697677 | | totalSentences | 172 | | uniqueOpeners | 51 | |
| 99.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 134 | | matches | | 0 | "Just the rustle of leaves," | | 1 | "Then, a low chittering sound" | | 2 | "Just a smooth, pale oval" | | 3 | "Just shadows and old trees." |
| | ratio | 0.03 | |
| 61.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 134 | | matches | | 0 | "She pulled her coat tighter," | | 1 | "She shouldn't be here." | | 2 | "She stepped between the two" | | 3 | "It was a listening silence." | | 4 | "She reached out to touch" | | 5 | "She yanked her hand back," | | 6 | "She gripped the silver chain," | | 7 | "It cast a faint, bloody" | | 8 | "She stood up, her knees" | | 9 | "It sounded like a dry" | | 10 | "It came from behind her," | | 11 | "Her voice sounded thin, swallowed" | | 12 | "She turned in a slow" | | 13 | "Her mind was trying to" | | 14 | "It is reacting now." | | 15 | "It was wet this time." | | 16 | "It was coming from the" | | 17 | "She looked for a weapon," | | 18 | "Her hand found a fallen" | | 19 | "She lifted it, the wood" |
| | ratio | 0.396 | |
| 45.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 111 | | totalSentences | 134 | | matches | | 0 | "Richmond Park at night possessed" | | 1 | "The air felt heavier, thick" | | 2 | "She pulled her coat tighter," | | 3 | "She shouldn't be here." | | 4 | "The sane part of her" | | 5 | "The words hung in the" | | 6 | "Rory took a breath, steadying" | | 7 | "The moonlight filtering through the" | | 8 | "Tonight, they looked like jagged" | | 9 | "She stepped between the two" | | 10 | "The change was instant." | | 11 | "The ambient noise of the" | | 12 | "The silence that replaced it" | | 13 | "It was a listening silence." | | 14 | "Rory crouched, running her fingers" | | 15 | "The wildflowers here defied the" | | 16 | "Blooms of vivid violet and" | | 17 | "She reached out to touch" | | 18 | "The flower was twitching." | | 19 | "The flower was contracting, expanding," |
| | ratio | 0.828 | |
| 37.31% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 134 | | matches | | 0 | "Therefore, there is a portal" |
| | ratio | 0.007 | |
| 34.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 66 | | technicalSentenceCount | 10 | | matches | | 0 | "The sane part of her brain, the part that had finished her Pre-Law degree and knew exactly how many ways a person could disappear in a city of nine million, scr…" | | 1 | "The words hung in the cold air, a puff of white vapour that dissolved instantly." | | 2 | "Blooms of vivid violet and phosphorescent white clustered around the roots of the oaks, their petals open wide as if gasping for air." | | 3 | "The Heartstone flared hotter, a sudden spike of temperature that made her wince." | | 4 | "It cast a faint, bloody glow on the grass, illuminating a patch of ground that looked disturbingly like fur." | | 5 | "The sky above the Grove was not black, but a bruised purple, swirling with clouds that moved in a slow, impossible counter-clockwise rotation." | | 6 | "They bruised, leaking a thick, dark sap that smelled of copper and old blood." | | 7 | "It was tall, impossibly thin, with limbs that articulated in too many joints." | | 8 | "It was inside her skull, a invasive thought that wasn't hers." | | 9 | "Rory lay on her back, gasping, staring up at the normal, starless sky of London." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice stronger this time" | | 1 | "she whispered, her voice cracking" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 10 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.5 | | effectiveRatio | 0.2 | |