| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde said softly [softly]" |
| | dialogueSentences | 27 | | tagDensity | 0.519 | | leniency | 1 | | rawRatio | 0.071 | | effectiveRatio | 0.071 | |
| 95.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1193 | | 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) | |
| 41.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1193 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "perfect" | | 1 | "rhythmic" | | 2 | "silk" | | 3 | "gloom" | | 4 | "whisper" | | 5 | "scanned" | | 6 | "throbbed" | | 7 | "pulsed" | | 8 | "silence" | | 9 | "mechanical" | | 10 | "vibrated" | | 11 | "stomach" | | 12 | "chaotic" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "wave of emotion" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 93 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 93 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1187 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 69.68% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 996 | | uniqueNames | 10 | | maxNameDensity | 1.61 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | London | 1 | | Richmond | 1 | | Park | 1 | | Rory | 16 | | Isolde | 8 | | Nyx | 8 | | Heartstone | 3 | | Silas | 1 | | Earth | 1 | | Aurora | 2 |
| | persons | | 0 | "Rory" | | 1 | "Isolde" | | 2 | "Nyx" | | 3 | "Heartstone" | | 4 | "Silas" | | 5 | "Aurora" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 0.697 | | windowScore | 0.833 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a branding iron" | | 1 | "looked like a void" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1187 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 75.30% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 32.97 | | std | 13.64 | | cv | 0.414 | | sampleLengths | | 0 | 34 | | 1 | 39 | | 2 | 31 | | 3 | 70 | | 4 | 24 | | 5 | 46 | | 6 | 39 | | 7 | 11 | | 8 | 33 | | 9 | 36 | | 10 | 59 | | 11 | 48 | | 12 | 18 | | 13 | 40 | | 14 | 30 | | 15 | 38 | | 16 | 31 | | 17 | 16 | | 18 | 40 | | 19 | 40 | | 20 | 33 | | 21 | 39 | | 22 | 41 | | 23 | 2 | | 24 | 31 | | 25 | 54 | | 26 | 6 | | 27 | 33 | | 28 | 33 | | 29 | 26 | | 30 | 42 | | 31 | 16 | | 32 | 35 | | 33 | 23 | | 34 | 28 | | 35 | 22 |
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| 97.72% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 93 | | matches | | 0 | "was broken" | | 1 | "was covered" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 167 | | matches | | 0 | "was radiating" | | 1 | "was bleeding" | | 2 | "was turning" | | 3 | "wasn't coming" | | 4 | "was coming" | | 5 | "was overwhelming" |
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| 61.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 106 | | ratio | 0.028 | | matches | | 0 | "It lacked the sharp angles of the real sun; it diffused into the air." | | 1 | "The benefactor who gave her this artifact—the unknown someone who knew her scar, her escape, her life—had sent her here." | | 2 | "Below it, hundreds of figures—shadowy, hunched shapes—clashed together in a chaotic, violent feast." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1002 | | adjectiveStacks | 1 | | stackExamples | | 0 | "sickly, sulfur-yellow twilight." |
| | adverbCount | 24 | | adverbRatio | 0.023952095808383235 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011976047904191617 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 11.2 | | std | 5.69 | | cv | 0.508 | | sampleLengths | | 0 | 10 | | 1 | 23 | | 2 | 1 | | 3 | 13 | | 4 | 13 | | 5 | 13 | | 6 | 5 | | 7 | 12 | | 8 | 14 | | 9 | 9 | | 10 | 24 | | 11 | 11 | | 12 | 10 | | 13 | 16 | | 14 | 3 | | 15 | 16 | | 16 | 5 | | 17 | 3 | | 18 | 14 | | 19 | 14 | | 20 | 15 | | 21 | 6 | | 22 | 18 | | 23 | 15 | | 24 | 11 | | 25 | 5 | | 26 | 28 | | 27 | 10 | | 28 | 10 | | 29 | 16 | | 30 | 6 | | 31 | 26 | | 32 | 16 | | 33 | 11 | | 34 | 10 | | 35 | 24 | | 36 | 14 | | 37 | 7 | | 38 | 11 | | 39 | 2 | | 40 | 6 | | 41 | 16 | | 42 | 16 | | 43 | 8 | | 44 | 6 | | 45 | 16 | | 46 | 3 | | 47 | 10 | | 48 | 5 | | 49 | 20 |
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| 38.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.330188679245283 | | totalSentences | 106 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 80.47% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 86 | | matches | | 0 | "It wasn't the undulating dune" | | 1 | "She tugged the strap of" | | 2 | "Her fingers brushed the pendant" | | 3 | "He had no solid form" | | 4 | "He towered over her, approximately" | | 5 | "His voice wasn't a whisper" | | 6 | "Her silver hair flowed behind" | | 7 | "She wore a dress of" | | 8 | "Her speech was a melody," | | 9 | "He held up a hand," | | 10 | "It throbbed against her sternum," | | 11 | "She pointed toward a narrow" | | 12 | "It lacked the sharp angles" | | 13 | "They bent toward the group," | | 14 | "It wasn't mechanical, not like" | | 15 | "It vibrated in their teeth," | | 16 | "She needed to know why." | | 17 | "Her footprints evaporated as soon" | | 18 | "It was overwhelming." | | 19 | "It smelt like a high-end" |
| | ratio | 0.349 | |
| 23.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 86 | | matches | | 0 | "The air shifted the moment" | | 1 | "The humid haze of a" | | 2 | "Aurora stopped, her boots sinking" | | 3 | "It wasn't the undulating dune" | | 4 | "She tugged the strap of" | | 5 | "Her fingers brushed the pendant" | | 6 | "Nyx materialized from the gloom" | | 7 | "He had no solid form" | | 8 | "The humanoid silhouette solidified, flickering" | | 9 | "He towered over her, approximately" | | 10 | "His voice wasn't a whisper" | | 11 | "Isolde stepped forward." | | 12 | "Her silver hair flowed behind" | | 13 | "She wore a dress of" | | 14 | "Her speech was a melody," | | 15 | "Rory asked, keeping her voice" | | 16 | "Isolde tilted her head" | | 17 | "Nyx stepped into the path" | | 18 | "He held up a hand," | | 19 | "Rory reached up, clutching the" |
| | ratio | 0.872 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 4 | | matches | | 0 | "The humid haze of a London summer dissolved, replaced by a scent that smelled of ozone and rain on hot pavement, but sharper." | | 1 | "Her speech was a melody, the cadence rolling off her tongue in patterns that made Rory's brain itch." | | 2 | "It vibrated in their teeth, a sub-bass frequency that made the ground vibrate beneath their soles." | | 3 | "The benefactor who gave her this artifact—the unknown someone who knew her scar, her escape, her life—had sent her here." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "Nyx said, his voice dropping an octave" | | 1 | "she whispered, her voice trembling for the first time" |
| |
| 1.85% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "Nyx snarled (snarl)" | | 2 | "Nyx ordered (order)" | | 3 | "Rory choked (choke)" |
| | dialogueSentences | 27 | | tagDensity | 0.407 | | leniency | 0.815 | | rawRatio | 0.364 | | effectiveRatio | 0.296 | |