| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.366 | | leniency | 0.732 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1332 | | totalAiIsmAdverbs | 1 | | 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) | |
| 88.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1332 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "whisper" | | 1 | "perfect" | | 2 | "complex" |
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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 | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1345 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1049 | | uniqueNames | 12 | | maxNameDensity | 1.24 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | December | 1 | | Isolde | 11 | | Nyx | 5 | | Rory | 13 | | London | 1 | | Warm | 1 | | Birdsong | 1 | | Cardiff | 1 | | Heat | 1 | | Frost | 2 |
| | persons | | 0 | "Isolde" | | 1 | "Nyx" | | 2 | "Rory" | | 3 | "Birdsong" | | 4 | "Heat" | | 5 | "Frost" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Warm" | | 4 | "Cardiff" |
| | globalScore | 0.88 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.743 | | wordCount | 1345 | | matches | | 0 | "not toward the light, but toward the three of them, thousands of small faces swivellin" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 28.62 | | std | 24.06 | | cv | 0.841 | | sampleLengths | | 0 | 45 | | 1 | 12 | | 2 | 26 | | 3 | 55 | | 4 | 21 | | 5 | 68 | | 6 | 7 | | 7 | 80 | | 8 | 2 | | 9 | 6 | | 10 | 14 | | 11 | 26 | | 12 | 69 | | 13 | 88 | | 14 | 14 | | 15 | 29 | | 16 | 20 | | 17 | 30 | | 18 | 18 | | 19 | 10 | | 20 | 25 | | 21 | 75 | | 22 | 3 | | 23 | 8 | | 24 | 41 | | 25 | 16 | | 26 | 28 | | 27 | 8 | | 28 | 9 | | 29 | 81 | | 30 | 21 | | 31 | 64 | | 32 | 8 | | 33 | 16 | | 34 | 26 | | 35 | 45 | | 36 | 4 | | 37 | 12 | | 38 | 3 | | 39 | 7 | | 40 | 53 | | 41 | 15 | | 42 | 46 | | 43 | 53 | | 44 | 7 | | 45 | 8 | | 46 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 70 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 159 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 1 | | flaggedSentences | 12 | | totalSentences | 96 | | ratio | 0.125 | | matches | | 0 | "Isolde led them off the path where no trail existed — no cairn, no gap in the hedge, only a change in the way the dead grass leaned." | | 1 | "Nyx kept pace at Rory's shoulder — or at the shoulder of her shadow, a darkness one shade deeper than the morning." | | 2 | "When weak light filtered through the clouds they thinned to a smear; when the cloud closed again they bloomed solid, six feet of living night with two violet embers set where eyes belonged." | | 3 | "The smell of London — diesel, frost, wet leaves — fell away and something else moved into its place: rain on hot stone, honey, and underneath it a green growing smell entirely out of season." | | 4 | "The grove opened wider inside than eleven trees could possibly contain — a meadow rolling gently downhill toward a stream, and across every inch of it wildflowers in their tens of thousands." | | 5 | "The flowers turned as they passed — not toward the light, but toward the three of them, thousands of small faces swivelling on their stems like an audience tracking a stage." | | 6 | "Rory turned toward it and found no bird, no branch, no movement at all — only flowers, and the glass-leaved hawthorn, and the amber light." | | 7 | "No — not stopped." | | 8 | "The water mirrored a night sky — dense, glittering, hung with constellations she had never seen from any rooftop in Cardiff — while above the stream the true sky stayed amber and sourceless." | | 9 | "She pulled her collar open and drew out the pendant on its silver chain — the crimson stone glowing from within, pulsing, each beat stronger than the last, quick as a second heart trying to keep pace with the first." | | 10 | "Cold had been the blade's nature since the day it was given to her, but this was different — cold biting through the sheath, through leather and wool, and when she glanced down, frost had feathered across the moonsilver hilt in fine white ferns." | | 11 | "The ground rose into a low hill crowned with a ring of white stones, and above the stones the air itself lost its grip — a seam of shimmer hanging between two leaning hawthorns, like heat-haze in reverse, cold and hard-edged, a distortion in the shape of the world." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1042 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03262955854126679 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007677543186180422 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 14.01 | | std | 11.55 | | cv | 0.824 | | sampleLengths | | 0 | 17 | | 1 | 28 | | 2 | 9 | | 3 | 3 | | 4 | 17 | | 5 | 9 | | 6 | 22 | | 7 | 33 | | 8 | 17 | | 9 | 4 | | 10 | 4 | | 11 | 32 | | 12 | 32 | | 13 | 7 | | 14 | 28 | | 15 | 52 | | 16 | 2 | | 17 | 6 | | 18 | 6 | | 19 | 8 | | 20 | 26 | | 21 | 17 | | 22 | 4 | | 23 | 35 | | 24 | 13 | | 25 | 2 | | 26 | 27 | | 27 | 32 | | 28 | 27 | | 29 | 14 | | 30 | 15 | | 31 | 1 | | 32 | 7 | | 33 | 6 | | 34 | 13 | | 35 | 7 | | 36 | 23 | | 37 | 7 | | 38 | 9 | | 39 | 9 | | 40 | 6 | | 41 | 4 | | 42 | 11 | | 43 | 14 | | 44 | 6 | | 45 | 31 | | 46 | 38 | | 47 | 3 | | 48 | 5 | | 49 | 3 |
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| 69.79% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.46875 | | totalSentences | 96 | | uniqueOpeners | 45 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 64 | | matches | | 0 | "Faintly humming, like a wire" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 64 | | matches | | 0 | "She saw them then." | | 1 | "They did not grow so" | | 2 | "She pushed through the last" | | 3 | "She crouched and pressed her" | | 4 | "They slid free of the" | | 5 | "They went down the slope" | | 6 | "She held her wrist up." | | 7 | "She leaned closer." | | 8 | "They followed the stream to" | | 9 | "She stopped walking." | | 10 | "She pulled her collar open" | | 11 | "She tightened her grip on" |
| | ratio | 0.188 | |
| 38.13% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 64 | | matches | | 0 | "Frost had stiffened the bracken" | | 1 | "Isolde led them off the" | | 2 | "Rory pulled her scarf up" | | 3 | "Isolde crossed the frost on" | | 4 | "Nyx kept pace at Rory's" | | 5 | "The whisper reached Rory as" | | 6 | "She saw them then." | | 7 | "They did not grow so" | | 8 | "Isolde stopped between two of" | | 9 | "Nyx rippled like heat over" | | 10 | "Isolde stepped between the oaks," | | 11 | "Rory went in after her," | | 12 | "Pressure clamped her ears." | | 13 | "The smell of London —" | | 14 | "She pushed through the last" | | 15 | "The grove opened wider inside" | | 16 | "Harebells, vetch, and a bloom" | | 17 | "The ground gave under her" | | 18 | "She crouched and pressed her" | | 19 | "Isolde waited a few paces" |
| | ratio | 0.844 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 3 | | matches | | 0 | "Sourceless, warm, the light of a late summer afternoon that came from everywhere and nowhere, though the sky beyond the branches held no sun she could find." | | 1 | "The ground gave under her boots, springy and warm, moss over something that breathed." | | 2 | "A fish moved through the reflected stars, silver-bellied, and left ripples that spread upward through the reflected dark instead of outward." |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "Isolde stepped, and the light took her the way water takes a dropped coin" | | 1 | "Isolde waited, hands folded" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.073 | | leniency | 0.146 | | rawRatio | 0 | | effectiveRatio | 0 | |