| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said aloud [aloud]" |
| | dialogueSentences | 13 | | tagDensity | 0.615 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |
| 95.67% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1156 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
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| | 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) | |
| 48.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1156 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulse" | | 2 | "echo" | | 3 | "silence" | | 4 | "stomach" | | 5 | "footsteps" | | 6 | "pulsed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 89 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1165 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1102 | | uniqueNames | 9 | | maxNameDensity | 0.64 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 7 | | Richmond | 1 | | Park | 1 | | Pen | 1 | | Ponds | 1 | | Heartstone | 1 | | Eva | 1 | | October | 1 | | June | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Pen" | | 3 | "June" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1165 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 35.3 | | std | 25.53 | | cv | 0.723 | | sampleLengths | | 0 | 15 | | 1 | 62 | | 2 | 11 | | 3 | 77 | | 4 | 78 | | 5 | 53 | | 6 | 43 | | 7 | 11 | | 8 | 15 | | 9 | 79 | | 10 | 6 | | 11 | 50 | | 12 | 19 | | 13 | 18 | | 14 | 62 | | 15 | 9 | | 16 | 5 | | 17 | 64 | | 18 | 52 | | 19 | 58 | | 20 | 18 | | 21 | 3 | | 22 | 69 | | 23 | 6 | | 24 | 77 | | 25 | 3 | | 26 | 44 | | 27 | 29 | | 28 | 46 | | 29 | 14 | | 30 | 15 | | 31 | 25 | | 32 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 171 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 94 | | ratio | 0.096 | | matches | | 0 | "The standing stones had been a curiosity then — seven weathered oaks, shaped and set in a ring at the edge of a clearing no map bothered to mark." | | 1 | "It felt the way skin feels — a fraction above the air around it." | | 2 | "The traffic noise didn't fade — it ended, clipped off mid-hiss like a finger lifted from a string." | | 3 | "No signal — she'd expected that." | | 4 | "Then they came back — an echo, which was its own problem, because the open clearing had no walls to bounce from." | | 5 | "Rory stood in the silver grass with her fists at her sides and heard the quiet underneath the quiet — a low, tidal sound, in and out, too slow to be wind and too steady to be water." | | 6 | "\"I came because this thing—\" she lifted the pendant, and its crimson heart flared in her palm, \"—has been dragging me here for three nights. Somebody gave it to me. I don't know who. If that's you, you've got my attention. Well done. Now show yourself.\"" | | 7 | "They had no prints leading back in — they simply began, ten feet behind her, as if the walker had condensed out of the air mid-stride." | | 8 | "The breathing behind her — no, beside her now — slowed, and settled, and waited." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 895 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03128491620111732 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.00558659217877095 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 12.39 | | std | 10 | | cv | 0.807 | | sampleLengths | | 0 | 15 | | 1 | 30 | | 2 | 11 | | 3 | 21 | | 4 | 9 | | 5 | 2 | | 6 | 9 | | 7 | 18 | | 8 | 5 | | 9 | 12 | | 10 | 19 | | 11 | 14 | | 12 | 7 | | 13 | 32 | | 14 | 29 | | 15 | 10 | | 16 | 8 | | 17 | 13 | | 18 | 32 | | 19 | 6 | | 20 | 13 | | 21 | 10 | | 22 | 14 | | 23 | 6 | | 24 | 5 | | 25 | 15 | | 26 | 15 | | 27 | 18 | | 28 | 13 | | 29 | 33 | | 30 | 6 | | 31 | 10 | | 32 | 23 | | 33 | 4 | | 34 | 4 | | 35 | 9 | | 36 | 12 | | 37 | 7 | | 38 | 5 | | 39 | 13 | | 40 | 5 | | 41 | 6 | | 42 | 15 | | 43 | 4 | | 44 | 32 | | 45 | 5 | | 46 | 4 | | 47 | 5 | | 48 | 11 | | 49 | 1 |
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| 59.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.425531914893617 | | totalSentences | 94 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 83 | | matches | | 0 | "Then a pulse, faint as" | | 1 | "Somewhere beyond the treeline, a" | | 2 | "Then they came back —" |
| | ratio | 0.036 | |
| 70.60% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 83 | | matches | | 0 | "She climbed the fence at" | | 1 | "she muttered to the empty" | | 2 | "She set off along the" | | 3 | "It had started as warmth." | | 4 | "She knew the way to" | | 5 | "She'd found the grove once" | | 6 | "She stopped at the boundary" | | 7 | "It felt the way skin" | | 8 | "she told it" | | 9 | "She stepped between two of" | | 10 | "she said aloud, because saying" | | 11 | "She took out her phone." | | 12 | "She'd walked twenty minutes." | | 13 | "She watched the display, and" | | 14 | "She pocketed the phone" | | 15 | "She counted six repetitions." | | 16 | "Her voice sounded smaller than" | | 17 | "Her words hung." | | 18 | "She'd said communication skills." | | 19 | "She turned in a slow" |
| | ratio | 0.373 | |
| 68.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 83 | | matches | | 0 | "The pendant had been burning" | | 1 | "She climbed the fence at" | | 2 | "The lock on the gate" | | 3 | "she muttered to the empty" | | 4 | "The joke landed in the" | | 5 | "She set off along the" | | 6 | "It had started as warmth." | | 7 | "Tonight it pulled like a" | | 8 | "She knew the way to" | | 9 | "She'd found the grove once" | | 10 | "The standing stones had been" | | 11 | "The park at night was" | | 12 | "The ponds lay flat and" | | 13 | "The stones rose ahead of" | | 14 | "She stopped at the boundary" | | 15 | "The oak was cold, but" | | 16 | "It felt the way skin" | | 17 | "she told it" | | 18 | "She stepped between two of" | | 19 | "That was the only way" |
| | ratio | 0.783 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "Now the pendant flared hot" |
| | ratio | 0.012 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "Somewhere beyond the treeline, a car passed on the road, and the sound reached her thin and stretched, as if it had traveled much farther than the half mile it …" | | 1 | "The eighth came a half-second late, as if the singer had needed a moment to remember what came next." | | 2 | "It was the silence of a held breath, of something that had been making noise and had chosen, deliberately, to stop because she was listening." | | 3 | "They had no prints leading back in — they simply began, ten feet behind her, as if the walker had condensed out of the air mid-stride." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.25 | | effectiveRatio | 0.154 | |