| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.368 | | leniency | 0.737 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1410 | | 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) | |
| 50.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1410 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "whisper" | | 1 | "weight" | | 2 | "pulse" | | 3 | "warmth" | | 4 | "flicker" | | 5 | "resonance" | | 6 | "perfect" | | 7 | "measured" |
| |
| 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 | 0 | | hedgeCount | 0 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1428 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.15% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 958 | | uniqueNames | 11 | | maxNameDensity | 1.36 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | London | 1 | | Richmond | 2 | | Park | 2 | | Nyx | 6 | | Rory | 13 | | Heartstone | 1 | | Hel | 1 | | December | 1 | | Seer | 2 | | Resting | 1 | | Isolde | 4 |
| | persons | | 0 | "Nyx" | | 1 | "Rory" | | 2 | "Seer" | | 3 | "Isolde" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "December" |
| | globalScore | 0.822 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.7 | | wordCount | 1428 | | matches | | 0 | "not the flat warmth of a heated room, but a living warmth, the kind" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 33.21 | | std | 26.9 | | cv | 0.81 | | sampleLengths | | 0 | 15 | | 1 | 51 | | 2 | 5 | | 3 | 61 | | 4 | 6 | | 5 | 7 | | 6 | 51 | | 7 | 7 | | 8 | 58 | | 9 | 67 | | 10 | 18 | | 11 | 74 | | 12 | 14 | | 13 | 8 | | 14 | 52 | | 15 | 17 | | 16 | 10 | | 17 | 68 | | 18 | 44 | | 19 | 7 | | 20 | 9 | | 21 | 4 | | 22 | 81 | | 23 | 3 | | 24 | 10 | | 25 | 1 | | 26 | 23 | | 27 | 75 | | 28 | 9 | | 29 | 49 | | 30 | 69 | | 31 | 6 | | 32 | 61 | | 33 | 23 | | 34 | 79 | | 35 | 8 | | 36 | 58 | | 37 | 11 | | 38 | 69 | | 39 | 40 | | 40 | 4 | | 41 | 34 | | 42 | 62 |
| |
| 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 | 144 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 1 | | flaggedSentences | 14 | | totalSentences | 94 | | ratio | 0.149 | | matches | | 0 | "She'd walked Richmond Park a hundred times on deliveries and never once seen them — and tonight they stood in her path as if they'd been waiting for a knock." | | 1 | "The gem lay cold against her collarbone — dormant, no pulse of warmth, no flicker of crimson." | | 2 | "Warmth washed over her — not the flat warmth of a heated room, but a living warmth, the kind that rises off skin, off breath, off soil in spring." | | 3 | "Hundreds of them, thousands, a carpet of them running down into a hollow that had no business existing inside Richmond Park — cornflowers and foxgloves and pale moon-poppies she'd never seen in any book, all open and drinking from a sky the colour of dark honey." | | 4 | "The screen showed 6:47, the same minute it had shown on the path outside — but the battery icon had dropped by half, and the clock's seconds ticked in stuttering bursts, catching and skipping like a scratched record." | | 5 | "The flowers parted around Rory's boots — she was almost certain she hadn't touched them — and each stem leaned after her passing, faces turning like spectators at a slow procession." | | 6 | "The hollow deepened into a bowl of white grass — actual white, pale as bone, each blade faintly luminous, so that their path glowed behind them in twin trails of crushed light." | | 7 | "Not carved — grown, the way knots and burls grow, except these knots had hollows for eyes and long weathered mouths, all of them shut." | | 8 | "She walked, evenly, watching the faces in the trees out of the corner of her eye — shut, shut, open a sliver, shut — until the white grass gave way to a clearing where the amber sky pooled close enough to touch." | | 9 | "One breath the grass was empty; the next, silver hair to her waist, a thin grey dress, bare feet on the white grass — and where she stood, where she must have walked, the grass bore no prints at all." | | 10 | "Nyx went utterly still — stiller than shadow, stiller than the tree-faces." | | 11 | "\"My exile taught me the price of small kindnesses done for mortals.\" Isolde drifted closer — drifted, her feet brushing the grass without bending it — and stopped before Rory." | | 12 | "Resting on it lay a dagger — slender, leaf-shaped, its moonsilver blade catching the amber light and holding it, glowing faintly from within like the memory of moonlight." | | 13 | "Rory reached out — and snatched her fingers back." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 947 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 32 | | adverbRatio | 0.0337909186906019 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007391763463569166 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 15.19 | | std | 12.07 | | cv | 0.794 | | sampleLengths | | 0 | 15 | | 1 | 4 | | 2 | 17 | | 3 | 30 | | 4 | 5 | | 5 | 13 | | 6 | 26 | | 7 | 22 | | 8 | 6 | | 9 | 7 | | 10 | 7 | | 11 | 17 | | 12 | 8 | | 13 | 2 | | 14 | 17 | | 15 | 7 | | 16 | 29 | | 17 | 2 | | 18 | 21 | | 19 | 6 | | 20 | 1 | | 21 | 46 | | 22 | 20 | | 23 | 4 | | 24 | 14 | | 25 | 19 | | 26 | 13 | | 27 | 42 | | 28 | 14 | | 29 | 8 | | 30 | 4 | | 31 | 38 | | 32 | 10 | | 33 | 17 | | 34 | 3 | | 35 | 7 | | 36 | 6 | | 37 | 31 | | 38 | 3 | | 39 | 2 | | 40 | 26 | | 41 | 6 | | 42 | 25 | | 43 | 13 | | 44 | 7 | | 45 | 9 | | 46 | 4 | | 47 | 32 | | 48 | 18 | | 49 | 6 |
| |
| 80.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5106382978723404 | | totalSentences | 94 | | uniqueOpeners | 48 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 59 | | matches | | 0 | "Instead, the grove held a" | | 1 | "Just a crack." | | 2 | "Somewhere in the trees, one" |
| | ratio | 0.051 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 59 | | matches | | 0 | "She'd walked Richmond Park a" | | 1 | "Their whisper carried a weight" | | 2 | "She exhaled a cloud of" | | 3 | "Her voice came out strange," | | 4 | "They solidified on the other" | | 5 | "She put it away with" | | 6 | "They descended into the hollow" | | 7 | "Their violet eyes had brightened" | | 8 | "Their bark had faces in" | | 9 | "Their whisper had gone thin" | | 10 | "She didn't run." | | 11 | "She walked, evenly, watching the" | | 12 | "Her eyes were pale lavender," |
| | ratio | 0.22 | |
| 70.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 59 | | matches | | 0 | "The standing stones rose out" | | 1 | "Rory counted them twice." | | 2 | "She'd walked Richmond Park a" | | 3 | "Nyx drifted past her, their" | | 4 | "Their whisper carried a weight" | | 5 | "Rory touched the Heartstone at" | | 6 | "The gem lay cold against" | | 7 | "Whatever waited beyond the stones," | | 8 | "She exhaled a cloud of" | | 9 | "The cold stopped like a" | | 10 | "Warmth washed over her —" | | 11 | "Hundreds of them, thousands, a" | | 12 | "A low amber sun hung" | | 13 | "Her voice came out strange," | | 14 | "Nyx flowed through the stones" | | 15 | "They solidified on the other" | | 16 | "Rory pulled it out." | | 17 | "The screen showed 6:47, the" | | 18 | "She put it away with" | | 19 | "They descended into the hollow" |
| | ratio | 0.78 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 2 | | matches | | 0 | "Warmth washed over her — not the flat warmth of a heated room, but a living warmth, the kind that rises off skin, off breath, off soil in spring." | | 1 | "Hundreds of them, thousands, a carpet of them running down into a hollow that had no business existing inside Richmond Park — cornflowers and foxgloves and pale…" |
| |
| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "Nyx flowed, their shadow-body rippling like ink dropped in water" |
| |
| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "people spoke (speak)" |
| | dialogueSentences | 38 | | tagDensity | 0.158 | | leniency | 0.316 | | rawRatio | 0.333 | | effectiveRatio | 0.105 | |