| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 959 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "precisely" | | 1 | "really" | | 2 | "very" | | 3 | "utterly" |
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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) | |
| 58.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 959 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulse" | | 1 | "throbbed" | | 2 | "unsettled" | | 3 | "silence" | | 4 | "echo" | | 5 | "footsteps" | | 6 | "weight" |
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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 | 1 | | narrationSentences | 68 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 967 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 918 | | uniqueNames | 9 | | maxNameDensity | 0.98 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | London | 1 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Pendant | 1 | | October | 2 | | Isolde | 3 | | Evan | 1 | | Rory | 9 |
| | persons | | 0 | "Pendant" | | 1 | "Isolde" | | 2 | "Evan" | | 3 | "Rory" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "October" |
| | globalScore | 1 | | windowScore | 1 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like foxglove but glowed faintly g" | | 1 | "not quite more an absence, a patch of darker dark sliding between two trunks" |
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| 96.59% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.034 | | wordCount | 967 | | matches | | 0 | "not cold exactly, but different" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 31.19 | | std | 19.27 | | cv | 0.618 | | sampleLengths | | 0 | 58 | | 1 | 53 | | 2 | 9 | | 3 | 50 | | 4 | 17 | | 5 | 41 | | 6 | 6 | | 7 | 36 | | 8 | 43 | | 9 | 11 | | 10 | 45 | | 11 | 1 | | 12 | 27 | | 13 | 13 | | 14 | 66 | | 15 | 5 | | 16 | 25 | | 17 | 10 | | 18 | 36 | | 19 | 42 | | 20 | 44 | | 21 | 28 | | 22 | 37 | | 23 | 5 | | 24 | 40 | | 25 | 17 | | 26 | 23 | | 27 | 61 | | 28 | 57 | | 29 | 6 | | 30 | 55 |
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| 94.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 68 | | matches | | 0 | "was ringed" | | 1 | "been undisturbed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 155 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 71 | | ratio | 0.099 | | matches | | 0 | "Rory stepped between two oak stones and the temperature dropped, not cold exactly, but different — pressure change, like descending too fast in a lift." | | 1 | "The second sound came from ahead — a low hum, almost musical, like wind through a bottle's neck." | | 2 | "It should have — the clearing was ringed with trees close enough to bounce sound — but it just fell away, swallowed whole." | | 3 | "Not a shape, not quite — more an absence, a patch of darker dark sliding between two trunks." | | 4 | "This time she recognized a rhythm to it, something almost like breathing set to music, in and out, and beneath it, softer, a second sound — wet, deliberate, footsteps in the sort of mud that didn't exist on solid grass." | | 5 | "The pendant burned white-hot against her skin, bright enough that she could see its glow reflected in the grass, and beneath that light she saw them — footprints, forming in real time a few feet ahead of her, sinking into ground that had been undisturbed a heartbeat before." | | 6 | "The grove answered by going utterly silent — no hum, no wet footsteps, no wind through wildflowers that shouldn't bloom in October." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 81 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.037037037037037035 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 13.62 | | std | 11.05 | | cv | 0.812 | | sampleLengths | | 0 | 23 | | 1 | 35 | | 2 | 30 | | 3 | 10 | | 4 | 13 | | 5 | 6 | | 6 | 3 | | 7 | 7 | | 8 | 18 | | 9 | 25 | | 10 | 4 | | 11 | 3 | | 12 | 4 | | 13 | 6 | | 14 | 16 | | 15 | 21 | | 16 | 2 | | 17 | 2 | | 18 | 6 | | 19 | 2 | | 20 | 25 | | 21 | 9 | | 22 | 18 | | 23 | 25 | | 24 | 11 | | 25 | 3 | | 26 | 25 | | 27 | 3 | | 28 | 14 | | 29 | 1 | | 30 | 4 | | 31 | 23 | | 32 | 13 | | 33 | 5 | | 34 | 18 | | 35 | 27 | | 36 | 4 | | 37 | 2 | | 38 | 10 | | 39 | 5 | | 40 | 18 | | 41 | 7 | | 42 | 10 | | 43 | 36 | | 44 | 7 | | 45 | 6 | | 46 | 29 | | 47 | 6 | | 48 | 26 | | 49 | 5 |
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| 73.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4647887323943662 | | totalSentences | 71 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 63 | | matches | | 0 | "Somewhere behind her, a twig" | | 1 | "Just the ones in the" | | 2 | "Instead she stood very still" | | 3 | "Just her heartbeat, and the" |
| | ratio | 0.063 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 63 | | matches | | 0 | "It had started buzzing an" | | 1 | "she said, to no one" | | 2 | "She checked her phone." | | 3 | "She'd entered at half past" | | 4 | "She exhaled, watched her breath" | | 5 | "She followed it because Isolde's" | | 6 | "She looked around." | | 7 | "Her voice didn't echo." | | 8 | "It should have — the" | | 9 | "She'd read about this." | | 10 | "She made herself breathe slow." | | 11 | "she said, louder now, aiming" | | 12 | "It came from close, close" | | 13 | "Her heel caught a root" | | 14 | "She was sure of it." | | 15 | "She'd have noticed a stone" | | 16 | "She looked up." | | 17 | "She'd trained herself out of" |
| | ratio | 0.286 | |
| 63.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 63 | | matches | | 0 | "The standing stones marked the" | | 1 | "Rory had walked this stretch" | | 2 | "It had started buzzing an" | | 3 | "The pulse had been faint" | | 4 | "she said, to no one" | | 5 | "The wildflowers didn't care about" | | 6 | "Bluebells and something that looked" | | 7 | "Rory stepped between two oak" | | 8 | "She checked her phone." | | 9 | "The screen read 11:47." | | 10 | "She'd entered at half past" | | 11 | "The path Isolde had described" | | 12 | "Rory found it exactly where" | | 13 | "Nothing but the stones, dark" | | 14 | "She exhaled, watched her breath" | | 15 | "The second sound came from" | | 16 | "She followed it because Isolde's" | | 17 | "The hum stopped the moment" | | 18 | "Rory stood still." | | 19 | "The silence afterward had texture" |
| | ratio | 0.794 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | 0 | "Now, standing at the threshold" |
| | ratio | 0.016 | |
| 75.89% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 3 | | matches | | 0 | "The standing stones marked the edge of the grove like teeth, pale under a moon that seemed too bright for London's usual sky." | | 1 | "Rory had nodded along without really absorbing it, the way you nod at warnings that feel theoretical until they aren't." | | 2 | "The grove answered by going utterly silent — no hum, no wet footsteps, no wind through wildflowers that shouldn't bloom in October." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |