| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1306 | | totalAiIsmAdverbs | 3 | | 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) | |
| 77.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1306 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "pulsed" | | 1 | "silence" | | 2 | "weight" | | 3 | "pulse" |
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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 | 145 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 145 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 148 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1298 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 1286 | | uniqueNames | 6 | | maxNameDensity | 0.7 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 9 | | Heartstone | 2 | | Richmond | 1 | | October | 1 | | Evan | 1 | | London | 1 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 1 | | matches | | 0 | "as if learning it for the first time" |
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| 45.92% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.541 | | wordCount | 1298 | | matches | | 0 | "not at the sky but at her" | | 1 | "not with strength, but with a thousand feathery touches" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 148 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 29.5 | | std | 22.26 | | cv | 0.754 | | sampleLengths | | 0 | 67 | | 1 | 66 | | 2 | 4 | | 3 | 51 | | 4 | 78 | | 5 | 5 | | 6 | 40 | | 7 | 1 | | 8 | 13 | | 9 | 37 | | 10 | 59 | | 11 | 6 | | 12 | 18 | | 13 | 61 | | 14 | 28 | | 15 | 1 | | 16 | 4 | | 17 | 19 | | 18 | 6 | | 19 | 35 | | 20 | 2 | | 21 | 41 | | 22 | 42 | | 23 | 10 | | 24 | 59 | | 25 | 28 | | 26 | 53 | | 27 | 6 | | 28 | 45 | | 29 | 28 | | 30 | 1 | | 31 | 20 | | 32 | 2 | | 33 | 65 | | 34 | 42 | | 35 | 40 | | 36 | 25 | | 37 | 40 | | 38 | 31 | | 39 | 17 | | 40 | 60 | | 41 | 3 | | 42 | 26 | | 43 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 145 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 197 | | matches | (empty) | |
| 46.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 148 | | ratio | 0.034 | | matches | | 0 | "The city noise—sirens, the low grind of a night bus—cut off as if a hand had closed around her ears." | | 1 | "A shape detached itself from behind the widest oak—a darkness darker than the trunk—and slid from one tree to the next." | | 2 | "Clouds moved across the sky, but above the grove they didn’t drift—they folded over each other, forming a deeper black, a hole in the night." | | 3 | "The city noise rushed back—distant cars, a fox screaming somewhere in the park." | | 4 | "But there—just at the edge of the treeline—stood a figure." |
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| 99.16% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1294 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.04095826893353941 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0038639876352395673 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 148 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 148 | | mean | 8.77 | | std | 6.49 | | cv | 0.74 | | sampleLengths | | 0 | 12 | | 1 | 24 | | 2 | 27 | | 3 | 4 | | 4 | 17 | | 5 | 20 | | 6 | 6 | | 7 | 5 | | 8 | 18 | | 9 | 4 | | 10 | 2 | | 11 | 2 | | 12 | 6 | | 13 | 22 | | 14 | 7 | | 15 | 6 | | 16 | 6 | | 17 | 10 | | 18 | 5 | | 19 | 24 | | 20 | 9 | | 21 | 1 | | 22 | 2 | | 23 | 27 | | 24 | 5 | | 25 | 4 | | 26 | 5 | | 27 | 31 | | 28 | 1 | | 29 | 13 | | 30 | 6 | | 31 | 5 | | 32 | 13 | | 33 | 13 | | 34 | 6 | | 35 | 18 | | 36 | 7 | | 37 | 21 | | 38 | 3 | | 39 | 2 | | 40 | 2 | | 41 | 6 | | 42 | 3 | | 43 | 15 | | 44 | 12 | | 45 | 4 | | 46 | 11 | | 47 | 15 | | 48 | 9 | | 49 | 4 |
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| 42.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.31756756756756754 | | totalSentences | 148 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 124 | | matches | | 0 | "Instead, she ran harder, pushing" | | 1 | "Then she was through." | | 2 | "Only the oaks stood there," | | 3 | "Just an empty patch of" | | 4 | "Then, from the other side" |
| | ratio | 0.04 | |
| 97.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 124 | | matches | | 0 | "She had come to Richmond" | | 1 | "She climbed the fence where" | | 2 | "Their branches did not sway." | | 3 | "She stepped between them." | | 4 | "They bloomed in dense clusters," | | 5 | "It had gone still and" | | 6 | "She knelt and pressed her" | | 7 | "She stood and turned." | | 8 | "Her voice came out small" | | 9 | "It pressed against her ears." | | 10 | "She counted ten slow beats" | | 11 | "She kept her eyes on" | | 12 | "She blinked and it was" | | 13 | "She didn’t know if she" | | 14 | "She had counted seven stones" | | 15 | "Her mother’s voice, clear as" | | 16 | "She did not turn." | | 17 | "She had not seen it" | | 18 | "She was certain." | | 19 | "She stumbled backward and caught" |
| | ratio | 0.306 | |
| 64.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 124 | | matches | | 0 | "The chain warmed against Rory’s" | | 1 | "She had come to Richmond" | | 2 | "Tonight she stopped resisting." | | 3 | "She climbed the fence where" | | 4 | "The city noise—sirens, the low" | | 5 | "Their branches did not sway." | | 6 | "The standing stones at their" | | 7 | "She stepped between them." | | 8 | "The wildflowers underfoot bent without" | | 9 | "They bloomed in dense clusters," | | 10 | "Rory touched the pendant through" | | 11 | "It had gone still and" | | 12 | "That felt worse than the" | | 13 | "The clearing was smaller than" | | 14 | "She knelt and pressed her" | | 15 | "She stood and turned." | | 16 | "Nothing moved between the oaks." | | 17 | "The path she had entered" | | 18 | "Her voice came out small" | | 19 | "The silence that followed had" |
| | ratio | 0.79 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 124 | | matches | | 0 | "By the time she reached" | | 1 | "Now she counted nine." |
| | ratio | 0.016 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 56 | | technicalSentenceCount | 4 | | matches | | 0 | "The city noise—sirens, the low grind of a night bus—cut off as if a hand had closed around her ears." | | 1 | "At its center, the grass lay flattened in a spiral, as though some large animal had bedded there and risen long before she arrived." | | 2 | "The path she had entered through was still there, a pale cut between the trunks, but it looked farther away now, as if the grove had drawn a breath and expanded…" | | 3 | "This one was wet and low, a sound shaped around her name as if learning it for the first time." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.5 | | effectiveRatio | 0.333 | |