| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said drily [drily]" | | 1 | "he said finally [finally]" |
| | dialogueSentences | 13 | | tagDensity | 0.615 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |
| 78.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 470 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 470 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "traced" | | 1 | "whisper" | | 2 | "familiar" | | 3 | "flickered" | | 4 | "unspoken" | | 5 | "measured" | | 6 | "facade" | | 7 | "silence" | | 8 | "calculating" | | 9 | "charged" |
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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 | 54 | | matches | (empty) | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 54 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 59 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 463 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.62% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 421 | | uniqueNames | 6 | | maxNameDensity | 1.19 | | worstName | "Michael" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Michael" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Heuer | 1 | | Blackwood | 1 | | Aurora | 3 | | Michael | 5 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Blackwood" | | 3 | "Aurora" | | 4 | "Michael" |
| | places | (empty) | | globalScore | 0.906 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 28 | | glossingSentenceCount | 2 | | matches | | 0 | "photographs that seemed to whisper of forgotten stories" | | 1 | "looked like the very system they'd once c" |
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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 | 463 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 19.29 | | std | 14.77 | | cv | 0.766 | | sampleLengths | | 0 | 60 | | 1 | 10 | | 2 | 6 | | 3 | 5 | | 4 | 42 | | 5 | 11 | | 6 | 14 | | 7 | 38 | | 8 | 25 | | 9 | 5 | | 10 | 7 | | 11 | 44 | | 12 | 8 | | 13 | 8 | | 14 | 31 | | 15 | 12 | | 16 | 19 | | 17 | 11 | | 18 | 28 | | 19 | 28 | | 20 | 8 | | 21 | 28 | | 22 | 6 | | 23 | 9 |
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| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 54 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 80 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 59 | | ratio | 0.068 | | matches | | 0 | "The bar's walls were a palimpsest of memories—old maps and faded photographs that seemed to whisper of forgotten stories." | | 1 | "His hair—once a surfer's bleached mess—was now precisely trimmed, threaded with premature silver." | | 2 | "His watch—a TAG Heuer, she noted—gleamed under the bar's dim green neon light." | | 3 | "The bar's background murmur—glasses clinking, muted conversations—created a buffer between their charged silence." |
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| 96.25% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 429 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.04428904428904429 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.011655011655011656 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 59 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 59 | | mean | 7.85 | | std | 5.4 | | cv | 0.689 | | sampleLengths | | 0 | 19 | | 1 | 22 | | 2 | 19 | | 3 | 6 | | 4 | 4 | | 5 | 6 | | 6 | 4 | | 7 | 1 | | 8 | 15 | | 9 | 14 | | 10 | 13 | | 11 | 3 | | 12 | 3 | | 13 | 5 | | 14 | 6 | | 15 | 8 | | 16 | 5 | | 17 | 1 | | 18 | 19 | | 19 | 13 | | 20 | 12 | | 21 | 13 | | 22 | 5 | | 23 | 5 | | 24 | 2 | | 25 | 8 | | 26 | 9 | | 27 | 17 | | 28 | 10 | | 29 | 8 | | 30 | 3 | | 31 | 1 | | 32 | 1 | | 33 | 3 | | 34 | 6 | | 35 | 17 | | 36 | 8 | | 37 | 4 | | 38 | 8 | | 39 | 5 | | 40 | 3 | | 41 | 2 | | 42 | 9 | | 43 | 6 | | 44 | 5 | | 45 | 10 | | 46 | 18 | | 47 | 3 | | 48 | 10 | | 49 | 5 |
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| 77.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5254237288135594 | | totalSentences | 59 | | uniqueOpeners | 31 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 45 | | matches | | 0 | "So different from the boy" |
| | ratio | 0.022 | |
| 68.89% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 45 | | matches | | 0 | "She didn't look up." | | 1 | "Her spine went rigid." | | 2 | "His collegiate swimmer's build had" | | 3 | "His hair—once a surfer's bleached" | | 4 | "She gestured to the empty" | | 5 | "His watch—a TAG Heuer, she" | | 6 | "His hazel eyes flickered between" | | 7 | "It was a landscape of" | | 8 | "She remembered him as he" | | 9 | "she asked, already knowing the" | | 10 | "She wondered which of them" | | 11 | "She knew what he meant." | | 12 | "she said drily" | | 13 | "Her part-time job was just" | | 14 | "he said finally" | | 15 | "It wasn't a compliment." | | 16 | "It was an accusation." |
| | ratio | 0.378 | |
| 37.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 45 | | matches | | 0 | "The evening light slanted through" | | 1 | "Aurora traced the condensation on" | | 2 | "The bar's walls were a" | | 3 | "The bell above the door" | | 4 | "She didn't look up." | | 5 | "a familiar voice said" | | 6 | "Her spine went rigid." | | 7 | "His collegiate swimmer's build had" | | 8 | "His hair—once a surfer's bleached" | | 9 | "A statement weighted with years." | | 10 | "She gestured to the empty" | | 11 | "A peace offering, or perhaps" | | 12 | "Michael sat, his movements careful." | | 13 | "His watch—a TAG Heuer, she" | | 14 | "Silas Blackwood, the bar's owner," | | 15 | "His hazel eyes flickered between" | | 16 | "Aurora took a measured sip." | | 17 | "The distance between them was" | | 18 | "It was a landscape of" | | 19 | "She remembered him as he" |
| | ratio | 0.844 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 45 | | matches | | 0 | "Now he looked like the" | | 1 | "Even when it looks the" |
| | ratio | 0.044 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 3 | | matches | | 0 | "The bar's walls were a palimpsest of memories—old maps and faded photographs that seemed to whisper of forgotten stories." | | 1 | "So different from the boy who used to burst through her dormitory door, all wild energy and spontaneous adventure." | | 2 | "The boy who'd led campus protests against corporate influence now wore their uniform, moved in their circles." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.615 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |