| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.412 | | leniency | 0.824 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 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) | |
| 4.61% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1258 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "down her spine" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "pulse" | | 5 | "down her spine" | | 6 | "flickered" | | 7 | "resolving" | | 8 | "silk" | | 9 | "grave" | | 10 | "stomach" | | 11 | "echoed" | | 12 | "shattered" | | 13 | "lurch" | | 14 | "whisper" | | 15 | "trembled" | | 16 | "silence" | | 17 | "footsteps" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
|
| | highlights | | |
| 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 | 143 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 35 | | totalWords | 1244 | | ratio | 0.028 | | matches | | 0 | "“Sometimes the boss isn’t in a mood for delays, tiger,”" | | 1 | "daemon’s blood, cured in salt and starfall" | | 2 | "“People don’t always ask for what they need, Rory. Some things should stay buried.”" | | 3 | "don’t let them see." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 992 | | uniqueNames | 10 | | maxNameDensity | 1.81 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 18 | | Grove | 6 | | Heartstone | 6 | | Evan | 4 | | Isolde | 9 | | Hel-ooze | 1 | | Hel-spawn | 2 | | Hel | 4 | | Footsteps | 1 | | Carter | 1 |
| | persons | | 0 | "Rory" | | 1 | "Evan" | | 2 | "Isolde" | | 3 | "Hel-ooze" | | 4 | "Hel-spawn" | | 5 | "Hel" | | 6 | "Carter" |
| | places | | | globalScore | 0.593 | | windowScore | 0.333 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 2 | | matches | | 0 | "something like warning" | | 1 | "not quite human" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.804 | | wordCount | 1244 | | matches | | 0 | "not from clouds, but from nowhere, as if the sky had opened inside the Grove" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 143 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 20.06 | | std | 20.2 | | cv | 1.007 | | sampleLengths | | 0 | 57 | | 1 | 110 | | 2 | 69 | | 3 | 63 | | 4 | 59 | | 5 | 2 | | 6 | 34 | | 7 | 7 | | 8 | 42 | | 9 | 21 | | 10 | 6 | | 11 | 19 | | 12 | 12 | | 13 | 30 | | 14 | 36 | | 15 | 5 | | 16 | 32 | | 17 | 10 | | 18 | 33 | | 19 | 4 | | 20 | 22 | | 21 | 22 | | 22 | 10 | | 23 | 6 | | 24 | 11 | | 25 | 43 | | 26 | 3 | | 27 | 6 | | 28 | 33 | | 29 | 5 | | 30 | 13 | | 31 | 13 | | 32 | 3 | | 33 | 34 | | 34 | 23 | | 35 | 33 | | 36 | 4 | | 37 | 2 | | 38 | 39 | | 39 | 17 | | 40 | 44 | | 41 | 19 | | 42 | 5 | | 43 | 15 | | 44 | 3 | | 45 | 22 | | 46 | 1 | | 47 | 1 | | 48 | 6 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 123 | | matches | (empty) | |
| 97.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 196 | | matches | | 0 | "was going" | | 1 | "was working" | | 2 | "was already fading" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 0 | | flaggedSentences | 15 | | totalSentences | 143 | | ratio | 0.105 | | matches | | 0 | "The Grove shouldn’t have been this quiet—no rustle of foxes in the undergrowth, no distant owls calling from the trees." | | 1 | "But she hadn’t told him where she was going—only that she had to follow the signal." | | 2 | "Not an animal—too precise, too deliberate." | | 3 | "Yu-Fei had told her what was inside once—*daemon’s blood, cured in salt and starfall*—before slamming a cabinet shut." | | 4 | "A response flickered in the Heartstone—deeper, slower, like a heartbeat syncing to hers." | | 5 | "She wore clothes that shifted between textures—sometimes silk, sometimes bark, sometimes scales—moving as if underwater." | | 6 | "Ten figures lurch out from behind the oaks—Evan and nine others, faces twisted slack, mouths unhinged." | | 7 | "Their bodies weren’t quite whole—limbs too long, joints bent wrong." | | 8 | "Bone crunched—too easy, too wrong." | | 9 | "It flared—deep crimson, pulsing like a wound in time." | | 10 | "This was something else—ice in the veins, memories not hers, screams not spoken." | | 11 | "Silence smashed down—absolute, crushing." | | 12 | "Then—" | | 13 | "His eyes caught hers—bright blue." | | 14 | "Rain began to fall—not from clouds, but from nowhere, as if the sky had opened inside the Grove." |
| |
| 87.62% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1014 | | adjectiveStacks | 2 | | stackExamples | | 0 | "damp, sweet-scented night." | | 1 | "small paper-wrapped parcel." |
| | adverbCount | 41 | | adverbRatio | 0.04043392504930966 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0039447731755424065 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 143 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 143 | | mean | 8.7 | | std | 6.29 | | cv | 0.723 | | sampleLengths | | 0 | 24 | | 1 | 20 | | 2 | 13 | | 3 | 21 | | 4 | 14 | | 5 | 23 | | 6 | 12 | | 7 | 16 | | 8 | 24 | | 9 | 7 | | 10 | 6 | | 11 | 3 | | 12 | 15 | | 13 | 14 | | 14 | 17 | | 15 | 3 | | 16 | 4 | | 17 | 11 | | 18 | 9 | | 19 | 11 | | 20 | 18 | | 21 | 14 | | 22 | 21 | | 23 | 13 | | 24 | 1 | | 25 | 3 | | 26 | 21 | | 27 | 2 | | 28 | 19 | | 29 | 3 | | 30 | 12 | | 31 | 7 | | 32 | 27 | | 33 | 15 | | 34 | 11 | | 35 | 10 | | 36 | 5 | | 37 | 1 | | 38 | 7 | | 39 | 12 | | 40 | 8 | | 41 | 4 | | 42 | 5 | | 43 | 25 | | 44 | 13 | | 45 | 11 | | 46 | 12 | | 47 | 5 | | 48 | 16 | | 49 | 16 |
| |
| 49.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.36363636363636365 | | totalSentences | 143 | | uniqueOpeners | 52 | |
| 99.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 101 | | matches | | 0 | "Just the breath of her" | | 1 | "Then it screamed." | | 2 | "Even the air held its" |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 101 | | matches | | 0 | "She adjusted the strap of" | | 1 | "It had pulsed against her" | | 2 | "She knew this feeling, the" | | 3 | "She’d felt it in Evan’s" | | 4 | "She’d felt it crossing the" | | 5 | "She unzipped the delivery bag," | | 6 | "She uncorked the vial with" | | 7 | "It was working." | | 8 | "She slid the vial into" | | 9 | "She wore clothes that shifted" | | 10 | "She tilted her head" | | 11 | "She hurled the vial onto" | | 12 | "It shattered, the daemon’s blood" | | 13 | "Their bodies weren’t quite whole—limbs" | | 14 | "You think this fixes anything?" | | 15 | "His voice slithered into Rory’s" | | 16 | "She clenched her fists." | | 17 | "She came up hard, elbow" | | 18 | "She drove forward, fingers brushing" | | 19 | "It flared—deep crimson, pulsing like" |
| | ratio | 0.267 | |
| 19.41% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 101 | | matches | | 0 | "The air thickened as Rory" | | 1 | "The Grove shouldn’t have been" | | 2 | "She adjusted the strap of" | | 3 | "It had pulsed against her" | | 4 | "Yu-Fei had tried to press" | | 5 | "The Heartstone had led her" | | 6 | "A branch snapped somewhere beyond" | | 7 | "Rory’s pulse steadied." | | 8 | "She knew this feeling, the" | | 9 | "She’d felt it in Evan’s" | | 10 | "She’d felt it crossing the" | | 11 | "The world narrowing." | | 12 | "The wrongness pressing in." | | 13 | "She unzipped the delivery bag," | | 14 | "The contents sloshed sluggishly, like" | | 15 | "Yu-Fei had told her what" | | 16 | "She uncorked the vial with" | | 17 | "A response flickered in the" | | 18 | "It was working." | | 19 | "Whatever had opened the way" |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 101 | | matches | (empty) | | ratio | 0 | |
| 94.16% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 3 | | matches | | 0 | "The air thickened as Rory stepped past the standing stones, her boots sinking into damp moss that clung to her soles like wet fingers." | | 1 | "She wore clothes that shifted between textures—sometimes silk, sometimes bark, sometimes scales—moving as if underwater." | | 2 | "The fissure pulsed under her palms, trying to heal itself, trying to pull her in." |
| |
| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "the woman said, her lips barely moving" | | 1 | "she said, voice raw" | | 2 | "Brendan said, voice steady, softer than she remembered" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.324 | | leniency | 0.647 | | rawRatio | 0 | | effectiveRatio | 0 | |