| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1316 | | 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) | |
| 43.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1316 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "footsteps" | | 1 | "weight" | | 2 | "echoes" | | 3 | "silence" | | 4 | "familiar" | | 5 | "pulse" | | 6 | "quickened" | | 7 | "throb" | | 8 | "pulsed" |
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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 | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1328 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 1256 | | uniqueNames | 9 | | maxNameDensity | 0.24 | | worstName | "Richmond" | | maxWindowNameDensity | 1 | | worstWindowName | "Richmond" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Richmond | 3 | | Park | 2 | | Eva | 1 | | London | 1 | | June-warm | 2 | | Welsh | 1 | | Cardiff | 1 |
| | persons | | | places | | 0 | "Golden" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "London" | | 4 | "June-warm" | | 5 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a small mercy" |
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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 | 1328 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 85 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 41.5 | | std | 32.48 | | cv | 0.783 | | sampleLengths | | 0 | 6 | | 1 | 97 | | 2 | 28 | | 3 | 68 | | 4 | 35 | | 5 | 52 | | 6 | 4 | | 7 | 106 | | 8 | 16 | | 9 | 12 | | 10 | 19 | | 11 | 106 | | 12 | 18 | | 13 | 82 | | 14 | 14 | | 15 | 50 | | 16 | 28 | | 17 | 56 | | 18 | 46 | | 19 | 29 | | 20 | 6 | | 21 | 101 | | 22 | 17 | | 23 | 67 | | 24 | 72 | | 25 | 39 | | 26 | 10 | | 27 | 81 | | 28 | 23 | | 29 | 2 | | 30 | 36 | | 31 | 2 |
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| 87.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 81 | | matches | | 0 | "were chained" | | 1 | "been carved" | | 2 | "was gone" | | 3 | "been learned" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 206 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 2 | | flaggedSentences | 12 | | totalSentences | 85 | | ratio | 0.141 | | matches | | 0 | "Whenever her delivery route bent past Richmond Park, the heat climbed another notch — a compass needle with a grudge." | | 1 | "Richmond's deer ignored people in daylight; at night they scattered from footsteps." | | 2 | "She walked the path with six frozen gazes aimed past her shoulder, and it took her a hundred metres to notice she'd started matching her steps to something — some rhythm — without deciding to." | | 3 | "There was no moment when it happened — the traffic hum just wasn't there anymore, and no plane crossed the black sky, and no siren wound through the distance." | | 4 | "She had lived above a bar for two years; she knew what silence cost in this city." | | 5 | "Between the second and third trunk, the gap showed a clearing that glowed — a faint, sourceless dimness, as if moonlight pooled there without bothering to fall from the moon." | | 6 | "Warm air folded around her, June-warm, and the smell of the clearing arrived with it — honey, and under the honey something sweet gone off, fruit rotting in a closed room." | | 7 | "She crouched to look at the nearest cluster and the blooms tilted toward her — slow, the way a face turns." | | 8 | "She turned her head and it was gone, and the gap between the trunks looked as empty as before — except every flower in that corner of the clearing had turned to face it." | | 9 | "She stood still, spine cold inside the June-warm air, and counted a third time and got seven — but the gap she'd come through was on the far side now, and she had not moved, and the humming had started again without her." | | 10 | "Not her heartbeat — hers ticked fast and shallow at her throat, a bird's." | | 11 | "Then, from just behind her shoulder — close, close enough that the warm air stirred — it answered in her own voice, her own cadence, word for word:" |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 136 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.022058823529411766 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.007352941176470588 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 15.62 | | std | 11.96 | | cv | 0.765 | | sampleLengths | | 0 | 6 | | 1 | 8 | | 2 | 18 | | 3 | 20 | | 4 | 22 | | 5 | 29 | | 6 | 7 | | 7 | 21 | | 8 | 44 | | 9 | 24 | | 10 | 35 | | 11 | 7 | | 12 | 28 | | 13 | 17 | | 14 | 4 | | 15 | 15 | | 16 | 12 | | 17 | 3 | | 18 | 4 | | 19 | 6 | | 20 | 21 | | 21 | 10 | | 22 | 35 | | 23 | 2 | | 24 | 14 | | 25 | 3 | | 26 | 3 | | 27 | 6 | | 28 | 19 | | 29 | 9 | | 30 | 29 | | 31 | 17 | | 32 | 6 | | 33 | 34 | | 34 | 1 | | 35 | 1 | | 36 | 9 | | 37 | 18 | | 38 | 44 | | 39 | 5 | | 40 | 3 | | 41 | 30 | | 42 | 10 | | 43 | 4 | | 44 | 7 | | 45 | 22 | | 46 | 12 | | 47 | 1 | | 48 | 8 | | 49 | 26 |
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| 72.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.47619047619047616 | | totalSentences | 84 | | uniqueOpeners | 40 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Somewhere between the deer and" | | 1 | "Then, from just behind her" |
| | ratio | 0.027 | |
| 76.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 75 | | matches | | 0 | "She called Eva while she" | | 1 | "She wedged the phone between" | | 2 | "She dropped into long grass" | | 3 | "She followed a firebreak path" | | 4 | "She walked the path with" | | 5 | "Her own footsteps." | | 6 | "She rubbed the crescent scar" | | 7 | "She had lived above a" | | 8 | "They stood like standing stones." | | 9 | "She checked her phone to" | | 10 | "she told the dark, because" | | 11 | "She stepped between the oaks," | | 12 | "Her breath stopped fogging." | | 13 | "She crouched to look at" | | 14 | "She pulled her hand back" | | 15 | "She knew the tune now" | | 16 | "Her mother used to sing" | | 17 | "It came from the far" | | 18 | "She stood in the warm" | | 19 | "Her voice landed flat and" |
| | ratio | 0.36 | |
| 86.67% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 75 | | matches | | 0 | "Rory had meant only to" | | 1 | "The pendant had run warm" | | 2 | "Tonight it had crossed into" | | 3 | "The gates were chained at" | | 4 | "She called Eva while she" | | 5 | "She wedged the phone between" | | 6 | "She dropped into long grass" | | 7 | "Richmond Park after midnight was" | | 8 | "She followed a firebreak path" | | 9 | "The deer came first." | | 10 | "Richmond's deer ignored people in" | | 11 | "These did neither." | | 12 | "None of them grazed." | | 13 | "None of them shifted their" | | 14 | "Every head was turned toward" | | 15 | "She walked the path with" | | 16 | "The rhythm went on without" | | 17 | "Her own footsteps." | | 18 | "That was all." | | 19 | "Echoes off the firebreak, arriving" |
| | ratio | 0.747 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "Whenever her delivery route bent" |
| | ratio | 0.013 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 4 | | matches | | 0 | "She dropped into long grass on the other side, and the pendant flared, hot as a struck match, before settling into a steady burn that pulled at her like a hand …" | | 1 | "The quiet sat on her ears like water, and beneath it she could hear the frost ticking off the bracken, and beneath that, if she let herself listen, something th…" | | 2 | "Seven of them, grown in a ring where no ring should be, each trunk broad as a cottage, black bark scored with marks that might have been bark's own doing and mi…" | | 3 | "Between the second and third trunk, the gap showed a clearing that glowed — a faint, sourceless dimness, as if moonlight pooled there without bothering to fall …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "She wedged, boots scraping rust" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |