| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 56.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 802 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | |
| | highlights | | 0 | "warmly" | | 1 | "barely above a whisper" | | 2 | "perfectly" | | 3 | "slowly" | | 4 | "suddenly" | | 5 | "softly" | | 6 | "tightly" |
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| 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) | |
| 31.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 802 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "footsteps" | | 1 | "pulsed" | | 2 | "loomed" | | 3 | "perfect" | | 4 | "whisper" | | 5 | "pulse" | | 6 | "quickened" | | 7 | "scanning" | | 8 | "flickered" | | 9 | "silk" |
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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 | 59 | | matches | (empty) | |
| 94.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 60 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 811 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.63% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 758 | | uniqueNames | 6 | | maxNameDensity | 1.19 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Rory | 9 | | Heartstone | 5 | | Grove | 9 | | November | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Grove" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "November" |
| | globalScore | 0.906 | | windowScore | 1 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared peaceful its wildflowers glowing softly in the darkness as if nothing had happened" |
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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 | 811 | | matches | (empty) | |
| 55.56% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 60 | | matches | | 0 | "flat that morning" | | 1 | "trust that warning" |
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| 81.14% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 42.68 | | std | 18.52 | | cv | 0.434 | | sampleLengths | | 0 | 49 | | 1 | 66 | | 2 | 56 | | 3 | 26 | | 4 | 25 | | 5 | 39 | | 6 | 49 | | 7 | 20 | | 8 | 67 | | 9 | 5 | | 10 | 46 | | 11 | 42 | | 12 | 37 | | 13 | 38 | | 14 | 48 | | 15 | 57 | | 16 | 56 | | 17 | 75 | | 18 | 10 |
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| 93.37% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 59 | | matches | | 0 | "being dragged" | | 1 | "was lost" |
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| 94.18% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 126 | | matches | | 0 | "was coming" | | 1 | "were getting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 60 | | ratio | 0.133 | | matches | | 0 | "As she passed between them, the air changed – became thicker, heavier with the scent of blooming flowers that shouldn't exist in November." | | 1 | "The crescent scar on her left wrist itched – an old tell from childhood that always meant trouble was coming." | | 2 | "A soft sound came from behind her – like bare feet on grass, or perhaps something being dragged." | | 3 | "Something laughed – a high, thin sound like breaking glass." | | 4 | "The beam caught something moving between the trees – a flash of pale flesh that didn't look quite human." | | 5 | "Not a standing stone – just another tree." | | 6 | "In that brief flash, Rory saw them – pale, twisted shapes crowding between the trees, reaching for her with too-long fingers." | | 7 | "The normal sounds of Richmond Park rushed back – distant traffic, wind in the trees, a fox's bark." |
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| 90.64% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 297 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.050505050505050504 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.020202020202020204 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 60 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 60 | | mean | 13.52 | | std | 6.82 | | cv | 0.504 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 16 | | 3 | 28 | | 4 | 15 | | 5 | 23 | | 6 | 19 | | 7 | 15 | | 8 | 3 | | 9 | 19 | | 10 | 10 | | 11 | 16 | | 12 | 15 | | 13 | 5 | | 14 | 5 | | 15 | 7 | | 16 | 6 | | 17 | 20 | | 18 | 6 | | 19 | 18 | | 20 | 11 | | 21 | 20 | | 22 | 12 | | 23 | 8 | | 24 | 10 | | 25 | 8 | | 26 | 13 | | 27 | 21 | | 28 | 2 | | 29 | 13 | | 30 | 5 | | 31 | 12 | | 32 | 10 | | 33 | 12 | | 34 | 12 | | 35 | 19 | | 36 | 5 | | 37 | 18 | | 38 | 2 | | 39 | 16 | | 40 | 14 | | 41 | 2 | | 42 | 3 | | 43 | 13 | | 44 | 8 | | 45 | 17 | | 46 | 15 | | 47 | 21 | | 48 | 12 | | 49 | 10 |
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| 56.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.36666666666666664 | | totalSentences | 60 | | uniqueOpeners | 22 | |
| 60.61% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 55 | | matches | | | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 55 | | matches | | 0 | "Her footsteps crunched on fallen" | | 1 | "She needed answers about the" | | 2 | "she called out, her voice" | | 3 | "She'd learned to trust that" | | 4 | "She whirled around, but there" | | 5 | "she said, proud that her" | | 6 | "It came from everywhere and" | | 7 | "It came from multiple directions," | | 8 | "She fumbled for her phone," | | 9 | "Her light flickered and died," | | 10 | "She sprinted toward where she" | | 11 | "She was lost in the" | | 12 | "Their faces were wrong, all" | | 13 | "She screamed, the sound shocking" | | 14 | "She burst through the stone" |
| | ratio | 0.273 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 55 | | matches | | 0 | "The path through Richmond Park" | | 1 | "Her footsteps crunched on fallen" | | 2 | "The Heartstone pendant pulsed warmly" | | 3 | "She needed answers about the" | | 4 | "The standing stones loomed ahead," | | 5 | "The wildflowers carpeting the Grove" | | 6 | "Rory pulled her jacket tighter," | | 7 | "Something felt wrong." | | 8 | "The Grove had always been" | | 9 | "she called out, her voice" | | 10 | "The word seemed to die" | | 11 | "A breeze stirred the flowers" | | 12 | "The wind is moving wrong." | | 13 | "The Heartstone's pulse quickened against" | | 14 | "Rory turned slowly, scanning the" | | 15 | "The crescent scar on her" | | 16 | "She'd learned to trust that" | | 17 | "A soft sound came from" | | 18 | "She whirled around, but there" | | 19 | "she said, proud that her" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 89.29% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 3 | | matches | | 0 | "The Heartstone pendant pulsed warmly against her chest, a steady rhythm that matched her quickening heartbeat." | | 1 | "As she passed between them, the air changed – became thicker, heavier with the scent of blooming flowers that shouldn't exist in November." | | 2 | "The Heartstone flared suddenly, blazing with crimson light that illuminated the Grove in harsh relief." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "she called out, her voice barely above a whisper" | | 1 | "she said, proud that her voice remained steady" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she called out (call out)" |
| | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |