| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 33 | | tagDensity | 0.545 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1567 | | 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) | |
| 32.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1567 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "shimmered" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "perfect" | | 4 | "whisper" | | 5 | "echoed" | | 6 | "comforting" | | 7 | "vibrated" | | 8 | "pulse" | | 9 | "crystal" | | 10 | "structure" | | 11 | "tension" |
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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 | 125 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 125 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 140 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1582 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 1359 | | uniqueNames | 12 | | maxNameDensity | 1.1 | | worstName | "Nyx" | | maxWindowNameDensity | 3 | | worstWindowName | "Nyx" | | discoveredNames | | Richmond | 2 | | Park | 2 | | January | 2 | | Eva | 13 | | Nyx | 15 | | Rory | 14 | | Heartstone | 4 | | Cardiff | 1 | | Bay | 1 | | Grove | 2 | | Varga | 1 | | Tuesday | 1 |
| | persons | | 0 | "Eva" | | 1 | "Nyx" | | 2 | "Rory" | | 3 | "Heartstone" | | 4 | "Varga" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Cardiff" | | 3 | "Bay" |
| | globalScore | 0.948 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 1 | | matches | | 0 | "something like bluebells carpeted the ground" |
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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 | 1582 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 140 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 31.02 | | std | 26.19 | | cv | 0.844 | | sampleLengths | | 0 | 55 | | 1 | 10 | | 2 | 55 | | 3 | 13 | | 4 | 26 | | 5 | 60 | | 6 | 5 | | 7 | 3 | | 8 | 46 | | 9 | 4 | | 10 | 12 | | 11 | 38 | | 12 | 3 | | 13 | 39 | | 14 | 8 | | 15 | 64 | | 16 | 5 | | 17 | 94 | | 18 | 35 | | 19 | 24 | | 20 | 51 | | 21 | 15 | | 22 | 43 | | 23 | 40 | | 24 | 40 | | 25 | 27 | | 26 | 46 | | 27 | 17 | | 28 | 2 | | 29 | 62 | | 30 | 27 | | 31 | 3 | | 32 | 51 | | 33 | 12 | | 34 | 14 | | 35 | 9 | | 36 | 35 | | 37 | 18 | | 38 | 8 | | 39 | 40 | | 40 | 144 | | 41 | 52 | | 42 | 25 | | 43 | 10 | | 44 | 59 | | 45 | 13 | | 46 | 18 | | 47 | 4 | | 48 | 42 | | 49 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 125 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 218 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 140 | | ratio | 0.1 | | matches | | 0 | "She reached toward it and her fingers tingled — a static charge crawling up her wrist to the crescent scar on its inside." | | 1 | "Cold hit her first — a bone-deep cold that had nothing to do with the January wind." | | 2 | "The glow came from everywhere — from the leaves themselves, from the moss that furred every trunk and root in a carpet of pale luminous green, from the air itself which hung thick with drifting motes that floated against the wind and upward and sideways in patterns too deliberate to be pollen." | | 3 | "Violet ones that pulsed when she looked at them — or she thought they pulsed." | | 4 | "Below them, something like bluebells carpeted the ground — but the bulbs were black and translucent, and inside each one a tiny light shifted like a trapped firefly." | | 5 | "It gave like firm foam and released a scent — cut grass and warm sugar." | | 6 | "Not laid — grown." | | 7 | "The stone rang under her boot — a deep tone, felt more than heard, that vibrated up through her ankle and settled in her chest." | | 8 | "The stones sang under each step, each note climbing the scale, and the filigree along the path's edges brightened in her wake — silver at first, then pale gold, then a blue that matched her eyes." | | 9 | "One glowed with flowers that chimed when the drifting motes brushed past them — tiny clear sounds like struck crystal that rippled across the tier in waves." | | 10 | "The third terrace held water — a pool that lay flat and black and mirrored nothing, not the sky, not the trees, not the three figures standing above it." | | 11 | "Its windows — if they were windows — were shaped like eyes and showed different colours behind each: amber, violet, deep green." | | 12 | "The cold had returned, or she'd walked into a pocket of it — a current of air sliding down from the upper branches that carried a smell like frost and iron." | | 13 | "The Heartstone pulsed against her — steady now, almost eager." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1356 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.025073746312684365 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0022123893805309734 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 140 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 140 | | mean | 11.3 | | std | 9.03 | | cv | 0.799 | | sampleLengths | | 0 | 8 | | 1 | 18 | | 2 | 29 | | 3 | 3 | | 4 | 7 | | 5 | 2 | | 6 | 19 | | 7 | 4 | | 8 | 1 | | 9 | 21 | | 10 | 5 | | 11 | 3 | | 12 | 7 | | 13 | 6 | | 14 | 16 | | 15 | 10 | | 16 | 3 | | 17 | 6 | | 18 | 2 | | 19 | 9 | | 20 | 23 | | 21 | 17 | | 22 | 5 | | 23 | 3 | | 24 | 8 | | 25 | 23 | | 26 | 15 | | 27 | 4 | | 28 | 7 | | 29 | 5 | | 30 | 2 | | 31 | 27 | | 32 | 7 | | 33 | 2 | | 34 | 3 | | 35 | 24 | | 36 | 3 | | 37 | 12 | | 38 | 8 | | 39 | 17 | | 40 | 2 | | 41 | 22 | | 42 | 3 | | 43 | 20 | | 44 | 5 | | 45 | 29 | | 46 | 9 | | 47 | 4 | | 48 | 52 | | 49 | 6 |
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| 66.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4357142857142857 | | totalSentences | 140 | | uniqueOpeners | 61 | |
| 66.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 101 | | matches | | 0 | "Then solid again." | | 1 | "Then a smell like jasmine" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 101 | | matches | | 0 | "They absorbed it." | | 1 | "She reached toward it and" | | 2 | "She pulled her hand back." | | 3 | "Their fingers passed through the" | | 4 | "Her jaw worked side to" | | 5 | "She put her phone in" | | 6 | "Their body dispersed into shadow" | | 7 | "Her ears popped." | | 8 | "Her balance tipped sideways and" | | 9 | "She looked away and looked" | | 10 | "Her voice came out flat" | | 11 | "It gave like firm foam" | | 12 | "Their shadow-self stayed anchored to" | | 13 | "Their whisper carried and echoed" | | 14 | "Their fingertips sank into the" | | 15 | "They drew back and the" | | 16 | "She catalogued it and set" | | 17 | "She took another step." | | 18 | "She hummed the first note" | | 19 | "It beat against her palm" |
| | ratio | 0.238 | |
| 83.76% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 101 | | matches | | 0 | "The path through Richmond Park" | | 1 | "Nyx led anyway, their shadow" | | 2 | "Rory followed with her jacket" | | 3 | "The sound arrived from everywhere" | | 4 | "Each one taller than Nyx" | | 5 | "The carvings caught no light." | | 6 | "They absorbed it." | | 7 | "Nyx's violet eyes reflected the" | | 8 | "Rory stepped closer." | | 9 | "The air between the stones" | | 10 | "Something thicker, like the space" | | 11 | "She reached toward it and" | | 12 | "The Heartstone pendant against her" | | 13 | "She pulled her hand back." | | 14 | "Nyx extended a hand as" | | 15 | "Their fingers passed through the" | | 16 | "Nyx looked at Eva" | | 17 | "Her jaw worked side to" | | 18 | "She put her phone in" | | 19 | "Nyx stepped through." |
| | ratio | 0.752 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 101 | | matches | (empty) | | ratio | 0 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 8 | | matches | | 0 | "Each one taller than Nyx in solid form, black as wet slate, carved with grooves that spiralled inward toward their centres." | | 1 | "Then a smell like jasmine and something older, something that reminded her of the wooden box her grandmother kept dried lavender in." | | 2 | "Massive oaks stood in a wide clearing, their trunks wider than cars, their canopies interlocking overhead into a ceiling of leaves that filtered the light into …" | | 3 | "The glow came from everywhere — from the leaves themselves, from the moss that furred every trunk and root in a carpet of pale luminous green, from the air itse…" | | 4 | "Each slab was thin as a coin and edged with curling filaments that shifted when the eye moved across them, like the stonework rearranged itself when unobserved." | | 5 | "The stones sang under each step, each note climbing the scale, and the filigree along the path's edges brightened in her wake — silver at first, then pale gold,…" | | 6 | "The next terrace held nothing but stones, thousands of them, each one stacked in towers no wider than a finger and no taller than a knee, arranged in a pattern …" | | 7 | "The cold had returned, or she'd walked into a pocket of it — a current of air sliding down from the upper branches that carried a smell like frost and iron." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 28.79% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 4 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "Eva breathed (breathe)" | | 2 | "Eva muttered (mutter)" | | 3 | "they whispered (whisper)" |
| | dialogueSentences | 33 | | tagDensity | 0.394 | | leniency | 0.788 | | rawRatio | 0.308 | | effectiveRatio | 0.242 | |