| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1017 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 50.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1017 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "silence" | | 1 | "pulsed" | | 2 | "weight" | | 3 | "familiar" | | 4 | "measured" | | 5 | "footsteps" | | 6 | "echo" | | 7 | "stomach" |
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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 | 90 | | matches | (empty) | |
| 95.24% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 90 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 5 | | totalWords | 1010 | | ratio | 0.005 | | matches | | 0 | "the heart of it," | | 1 | "\"Malphora.\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 953 | | uniqueNames | 9 | | maxNameDensity | 0.42 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 4 | | Park | 1 | | Pen | 1 | | Ponds | 1 | | Heathrow | 1 | | October | 1 | | Eva | 2 | | Evan | 1 | | Calm | 2 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like it belonged to someone else" | | 1 | "tasted like copper" |
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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 | 1010 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 95 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 28.86 | | std | 21.34 | | cv | 0.739 | | sampleLengths | | 0 | 26 | | 1 | 71 | | 2 | 14 | | 3 | 45 | | 4 | 51 | | 5 | 10 | | 6 | 3 | | 7 | 45 | | 8 | 1 | | 9 | 14 | | 10 | 45 | | 11 | 22 | | 12 | 16 | | 13 | 5 | | 14 | 36 | | 15 | 1 | | 16 | 64 | | 17 | 58 | | 18 | 4 | | 19 | 49 | | 20 | 52 | | 21 | 74 | | 22 | 8 | | 23 | 21 | | 24 | 13 | | 25 | 58 | | 26 | 13 | | 27 | 24 | | 28 | 20 | | 29 | 1 | | 30 | 43 | | 31 | 35 | | 32 | 11 | | 33 | 34 | | 34 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 90 | | matches | | |
| 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 | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 95 | | ratio | 0.074 | | matches | | 0 | "Not the silence of an empty park—she knew that sound, the distant hum of the city, planes stacking up for Heathrow, the rustle of foxes in the bracken." | | 1 | "The torch found nothing—just the dark trunks of the boundary oaks, the wildflowers nodding though there was no wind to nod them." | | 2 | "One, two, three—a measured pace, matching hers, off to her right now, just beyond the reach of the torch." | | 3 | "The stalks bowed and rose, bowed and rose, and the wave came on, and Rory's body decided before her mind did—she stepped back, and back, and her heel caught a root and she went down hard on one knee." | | 4 | "She'd learned that too, somewhere—that the things at the corner of your eye dissolve the moment you turn." | | 5 | "And yet some buried part of her flinched the way you flinch at your own name shouted across a crowded room—a deep, cellular recognition that bypassed thought entirely." | | 6 | "The flowers began, one by one, to turn their faces away from her—and toward the stones, as if to watch her only exit." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 963 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.028037383177570093 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005192107995846314 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 10.63 | | std | 9.46 | | cv | 0.89 | | sampleLengths | | 0 | 26 | | 1 | 6 | | 2 | 11 | | 3 | 28 | | 4 | 11 | | 5 | 15 | | 6 | 3 | | 7 | 11 | | 8 | 5 | | 9 | 28 | | 10 | 5 | | 11 | 7 | | 12 | 4 | | 13 | 24 | | 14 | 23 | | 15 | 6 | | 16 | 1 | | 17 | 2 | | 18 | 1 | | 19 | 3 | | 20 | 2 | | 21 | 22 | | 22 | 6 | | 23 | 15 | | 24 | 1 | | 25 | 14 | | 26 | 4 | | 27 | 5 | | 28 | 34 | | 29 | 2 | | 30 | 15 | | 31 | 7 | | 32 | 3 | | 33 | 1 | | 34 | 12 | | 35 | 5 | | 36 | 2 | | 37 | 22 | | 38 | 12 | | 39 | 1 | | 40 | 11 | | 41 | 4 | | 42 | 30 | | 43 | 19 | | 44 | 25 | | 45 | 7 | | 46 | 1 | | 47 | 8 | | 48 | 17 | | 49 | 4 |
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| 69.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.45263157894736844 | | totalSentences | 95 | | uniqueOpeners | 43 | |
| 46.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 72 | | matches | | | ratio | 0.014 | |
| 81.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 72 | | matches | | 0 | "Her benefactor's note had been" | | 1 | "She'd climbed the fence near" | | 2 | "Her torch caught the colours" | | 3 | "She crouched and touched a" | | 4 | "She turned a slow circle," | | 5 | "She found she didn't want" | | 6 | "Her own voice came back" | | 7 | "She checked her phone." | | 8 | "She laughed, and the laugh" | | 9 | "She held still and listened" | | 10 | "It wasn't Eva" | | 11 | "She knew it wasn't." | | 12 | "She started toward the centre" | | 13 | "She fixed on that thought" | | 14 | "She took one step." | | 15 | "She kept her voice level," | | 16 | "She didn't breathe." | | 17 | "She watched the flowers stand," | | 18 | "She didn't look at it" | | 19 | "She'd learned that too, somewhere—that" |
| | ratio | 0.347 | |
| 78.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 72 | | matches | | 0 | "The standing stones rose from" | | 1 | "Her benefactor's note had been" | | 2 | "Richmond Park, after the gates" | | 3 | "She'd climbed the fence near" | | 4 | "The pendant at her throat" | | 5 | "The grove answered with silence." | | 6 | "This was a thicker thing." | | 7 | "The kind that pressed against" | | 8 | "Wildflowers crowded her ankles." | | 9 | "Foxgloves, she thought, and something" | | 10 | "Her torch caught the colours" | | 11 | "She crouched and touched a" | | 12 | "The pendant pulsed." | | 13 | "She turned a slow circle," | | 14 | "The dark out there had" | | 15 | "She found she didn't want" | | 16 | "Her own voice came back" | | 17 | "She checked her phone." | | 18 | "The signal bars were gone." | | 19 | "The clock read 12:11, the" |
| | ratio | 0.764 | |
| 69.44% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 72 | | matches | | 0 | "Now it sat against her" |
| | ratio | 0.014 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "A long, slow ripple ran through them, starting at the tree line and rolling toward her, the way grass bends before a thing that walks through it." | | 1 | "And yet some buried part of her flinched the way you flinch at your own name shouted across a crowded room—a deep, cellular recognition that bypassed thought en…" | | 2 | "The laughter of something that had all the time that didn't exist in this place, and knew she had none of it." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "She laughed, and the laugh sounded like it belonged to someone else" | | 1 | "she said, and the lie tasted like copper" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "She laughed (laugh)" |
| | dialogueSentences | 11 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.5 | | effectiveRatio | 0.364 | |