| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.643 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1171 | | totalAiIsmAdverbs | 2 | | 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) | |
| 57.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1171 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulsed" | | 1 | "throb" | | 2 | "warmth" | | 3 | "whisper" | | 4 | "pulse" | | 5 | "comforting" | | 6 | "familiar" |
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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 | 63 | | matches | (empty) | |
| 52.15% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 67 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 72 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1186 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1117 | | uniqueNames | 10 | | maxNameDensity | 0.9 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 10 | | Nyx | 9 | | December | 2 | | Richmond | 1 | | Park | 1 | | Rory | 1 | | Heartstone | 3 | | Shade | 1 | | London | 1 | | Heathrow | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Nyx" | | 2 | "Rory" | | 3 | "Heartstone" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Heathrow" |
| | globalScore | 1 | | windowScore | 1 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like ten minutes, and the tree rin" | | 1 | "not quite a path — more a suggestion, a willingness in the ground for feet" |
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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 | 1186 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 67 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 39.53 | | std | 30.06 | | cv | 0.76 | | sampleLengths | | 0 | 67 | | 1 | 1 | | 2 | 38 | | 3 | 16 | | 4 | 82 | | 5 | 32 | | 6 | 10 | | 7 | 67 | | 8 | 61 | | 9 | 28 | | 10 | 4 | | 11 | 18 | | 12 | 58 | | 13 | 5 | | 14 | 11 | | 15 | 111 | | 16 | 17 | | 17 | 56 | | 18 | 22 | | 19 | 59 | | 20 | 91 | | 21 | 39 | | 22 | 49 | | 23 | 4 | | 24 | 2 | | 25 | 85 | | 26 | 46 | | 27 | 13 | | 28 | 22 | | 29 | 72 |
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| 88.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 63 | | matches | | 0 | "was gone" | | 1 | "been blended" | | 2 | "being shaken" |
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| 7.32% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 173 | | matches | | 0 | "were walking" | | 1 | "were returning" | | 2 | "was, opening" | | 3 | "was not looking" | | 4 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 67 | | ratio | 0.134 | | matches | | 0 | "One moment she and Nyx were walking along the muddy December path that wound through Richmond Park — bare oaks and skeletal beeches on either side, the sky the color of old dishwater — and the next, a curtain of ivy seemed to have swallowed the trail behind them." | | 1 | "These oaks were green — impossibly, defiantly green in the dead of December, their leaves fat and waxy, the sort of deep summer green that hurt the eyes after months of grey." | | 2 | "Floral in a way that made her think of funerals and weddings at once — lilies, maybe, and something sweeter beneath, something with a tongue of its own." | | 3 | "The distant drone of London traffic — the buses on the A307, the planes threading toward Heathrow — was gone, replaced by a hush so complete she could hear her own pulse in her ears." | | 4 | "The grass was a foot deep and starred with flowers that had no business blooming — late roses, bluebells out of season, a sprawl of foxglove in candy pink." | | 5 | "It should not have been bigger than it looked — they had been walking for what felt like ten minutes, and the tree ring behind them had not shrunk — but it was, opening out into a series of small meadows stitched together by willow arches and drystone walls half-buried in climbing jasmine." | | 6 | "And on the surface of the stream, when she looked closely, she could see faint shapes moving beneath — small, darting things, possibly fish, possibly not, because they left no ripples when they turned." | | 7 | "A path of flat pale stones emerged from the grass ahead of her, not quite a path — more a suggestion, a willingness in the ground for feet." | | 8 | "At the end of the path the grove opened again, and there — in a ring of standing foxgloves taller than her head, their bells silent, their speckled throats all aimed inward like a forest of small open mouths — stood a woman with silver hair." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1106 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.03164556962025317 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.0108499095840868 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 67 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 67 | | mean | 17.7 | | std | 14.74 | | cv | 0.833 | | sampleLengths | | 0 | 8 | | 1 | 49 | | 2 | 10 | | 3 | 1 | | 4 | 38 | | 5 | 10 | | 6 | 6 | | 7 | 30 | | 8 | 20 | | 9 | 32 | | 10 | 17 | | 11 | 15 | | 12 | 10 | | 13 | 8 | | 14 | 29 | | 15 | 1 | | 16 | 1 | | 17 | 28 | | 18 | 28 | | 19 | 3 | | 20 | 30 | | 21 | 22 | | 22 | 6 | | 23 | 4 | | 24 | 10 | | 25 | 8 | | 26 | 2 | | 27 | 4 | | 28 | 35 | | 29 | 17 | | 30 | 5 | | 31 | 11 | | 32 | 19 | | 33 | 29 | | 34 | 23 | | 35 | 40 | | 36 | 5 | | 37 | 12 | | 38 | 12 | | 39 | 24 | | 40 | 20 | | 41 | 4 | | 42 | 2 | | 43 | 16 | | 44 | 10 | | 45 | 32 | | 46 | 17 | | 47 | 7 | | 48 | 53 | | 49 | 22 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4626865671641791 | | totalSentences | 67 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 54 | | matches | | 0 | "she said, pressing her palm" | | 1 | "she said, and pushed through" | | 2 | "They parted, sighing, as if" | | 3 | "She had read somewhere that" | | 4 | "They made a small, strangled" | | 5 | "She stepped through the ring." | | 6 | "It came out as a" | | 7 | "They lifted their face to" | | 8 | "She walked forward instead, the" | | 9 | "It should not have been" | | 10 | "She wiped her finger on" | | 11 | "It led between two willows" | | 12 | "She thought, briefly, of her" | | 13 | "She was not looking at" | | 14 | "She was looking at her" | | 15 | "she said, and the word" |
| | ratio | 0.296 | |
| 34.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 54 | | matches | | 0 | "The trees thickened before Aurora" | | 1 | "The Heartstone pendant at her" | | 2 | "she said, pressing her palm" | | 3 | "Nyx coalesced beside her, their" | | 4 | "These oaks were green —" | | 5 | "Nyx murmured, and their whisper" | | 6 | "she said, and pushed through" | | 7 | "The brambles did not catch" | | 8 | "They parted, sighing, as if" | | 9 | "The oak stones stood in" | | 10 | "Aurora counted seven." | | 11 | "She had read somewhere that" | | 12 | "Nyx flowed through the gap" | | 13 | "They made a small, strangled" | | 14 | "Nyx held up one shadowed" | | 15 | "The wind had stopped." | | 16 | "The distant drone of London" | | 17 | "A bee drifted past her" | | 18 | "She stepped through the ring." | | 19 | "The world on the other" |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 8 | | matches | | 0 | "The Heartstone pendant at her throat pulsed once, a single throb of warmth against her collarbone, and she stopped so abruptly that Nyx drifted through her, a c…" | | 1 | "They parted, sighing, as if they had been waiting for someone to do exactly this, and the air on the other side hit her like stepping into a greenhouse." | | 2 | "Floral in a way that made her think of funerals and weddings at once — lilies, maybe, and something sweeter beneath, something with a tongue of its own." | | 3 | "Nyx flowed through the gap behind her, their form rippling where it crossed the threshold, edges blurring like ink dropped in water." | | 4 | "The grass was a foot deep and starred with flowers that had no business blooming — late roses, bluebells out of season, a sprawl of foxglove in candy pink." | | 5 | "The sky above the clearing was a band of pale gold caught between the green canopy of oaks, but the light it gave was silvery, as if a moon and a sun had been b…" | | 6 | "Nyx drifted at her shoulder, their form less distinct here, the edges of their shadow bleeding into the longer shadows of the oaks as if they were returning to …" | | 7 | "The silver light had shifted while she'd been crouching, though she had not seen the sun move, and the shadows of the oaks had gone long and soft, leaning towar…" |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, and the word came out small, and the woman with the silver hair lifted her pale lavender eyes and smiled as if she had been expecting her for a very long time, and the grove tilted, just slightly, and the silver light came down like a held breath, and the flowers at Aurora's feet began to open all at once, one by one, like a thousand small unhurried stars" |
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| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 14 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.167 | | effectiveRatio | 0.143 | |