| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.324 | | leniency | 0.647 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1023 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "slightly" |
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| 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) | |
| 70.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1023 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "whisper" | | 1 | "warmth" | | 2 | "comforting" | | 3 | "resolved" | | 4 | "footfall" |
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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 | 65 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 65 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 11 | | totalWords | 1037 | | ratio | 0.011 | | matches | | 0 | "I am sorry for the dog." | | 1 | "Take what you took back." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 68.60% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 860 | | uniqueNames | 12 | | maxNameDensity | 1.63 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Nyx | 6 | | Eva | 9 | | November | 1 | | English | 2 | | Rory | 14 | | Wildflowers | 1 | | Fae | 1 | | Isolde | 1 | | Hackney | 1 | | Hel | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Wildflowers" | | 4 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "English" | | 3 | "Hackney" |
| | globalScore | 0.686 | | windowScore | 0.833 | |
| 21.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 2 | | matches | | 0 | "quite birds; they left long afterimages behind them, and their song came before the motion, not after" | | 1 | "not-quite birdsong ran a lower note, a hum almost below hearing, the kind you felt in the back teeth" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.964 | | wordCount | 1037 | | matches | | 0 | "not a language Rory could read, but the shape of language, loops" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 22.06 | | std | 24.34 | | cv | 1.103 | | sampleLengths | | 0 | 48 | | 1 | 7 | | 2 | 30 | | 3 | 3 | | 4 | 32 | | 5 | 1 | | 6 | 12 | | 7 | 17 | | 8 | 5 | | 9 | 3 | | 10 | 35 | | 11 | 3 | | 12 | 74 | | 13 | 11 | | 14 | 53 | | 15 | 36 | | 16 | 1 | | 17 | 10 | | 18 | 60 | | 19 | 4 | | 20 | 69 | | 21 | 4 | | 22 | 2 | | 23 | 3 | | 24 | 48 | | 25 | 11 | | 26 | 1 | | 27 | 7 | | 28 | 13 | | 29 | 85 | | 30 | 3 | | 31 | 59 | | 32 | 17 | | 33 | 13 | | 34 | 35 | | 35 | 5 | | 36 | 4 | | 37 | 6 | | 38 | 86 | | 39 | 8 | | 40 | 3 | | 41 | 9 | | 42 | 48 | | 43 | 2 | | 44 | 4 | | 45 | 38 | | 46 | 9 |
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| 89.07% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 65 | | matches | | 0 | "was gone" | | 1 | "been placed " | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 138 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 88 | | ratio | 0.125 | | matches | | 0 | "The standing stones didn't look like much from the path — seven weathered oaks twisted into pillars, bark grey as bone, roots fused into the soil like clenched knuckles." | | 1 | "Rory pressed her thumb to the pendant at her collarbone — cool, for once, not that slow crimson warmth it gave off near the bad places — and walked between the stones on an exhale." | | 2 | "In its place hung a high cloudless vault the colour of unripe peaches, and two suns — no, one sun and its mirrored ghost, smaller, trailing a few degrees behind — crossed it with unhurried patience." | | 3 | "Wildflowers grew in drifts that had no business existing together — snowdrops beside foxglove beside something star-shaped and petalled in bruised violet that Rory didn't recognise at all." | | 4 | "The trees here arched impossibly, their branches meeting overhead and knotting into patterns that resembled written script — not a language Rory could read, but the shape of language, loops and stops and diacritics in pale living wood." | | 5 | "Between the branches, birds moved that weren't quite birds; they left long afterimages behind them, and their song came before the motion, not after." | | 6 | "It came from everywhere and nowhere, and if she concentrated it nearly resolved into voices — many of them, speaking over each other, patient, disinterested." | | 7 | "The path — if it was a path, it was more an idea of one, a slightly paler ribbon of moss-glass winding between the stands of wildflower — dipped down into a hollow." | | 8 | "Around its edge, small stones had been placed — dozens of them, some quite old, moss-furred, others startlingly new." | | 9 | "Not toward them — across." | | 10 | "Whatever waited at the end of this path, it wasn't Hel — not yet." |
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| 95.13% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 856 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.0455607476635514 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009345794392523364 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 11.78 | | std | 10.69 | | cv | 0.907 | | sampleLengths | | 0 | 29 | | 1 | 19 | | 2 | 7 | | 3 | 5 | | 4 | 25 | | 5 | 3 | | 6 | 24 | | 7 | 8 | | 8 | 1 | | 9 | 12 | | 10 | 8 | | 11 | 9 | | 12 | 5 | | 13 | 3 | | 14 | 35 | | 15 | 3 | | 16 | 9 | | 17 | 23 | | 18 | 6 | | 19 | 36 | | 20 | 7 | | 21 | 4 | | 22 | 28 | | 23 | 25 | | 24 | 7 | | 25 | 17 | | 26 | 12 | | 27 | 1 | | 28 | 10 | | 29 | 3 | | 30 | 32 | | 31 | 3 | | 32 | 5 | | 33 | 2 | | 34 | 15 | | 35 | 4 | | 36 | 2 | | 37 | 5 | | 38 | 38 | | 39 | 24 | | 40 | 4 | | 41 | 2 | | 42 | 3 | | 43 | 2 | | 44 | 21 | | 45 | 25 | | 46 | 6 | | 47 | 5 | | 48 | 1 | | 49 | 7 |
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| 77.65% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5 | | totalSentences | 88 | | uniqueOpeners | 44 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 51 | | matches | | 0 | "It wasn't a passage so" | | 1 | "She glanced back." | | 2 | "Her footprints were already gone." | | 3 | "It came from everywhere and" | | 4 | "It had been cold since" | | 5 | "It had no face that" | | 6 | "She straightened, drew a slow" |
| | ratio | 0.137 | |
| 48.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 51 | | matches | | 0 | "The standing stones didn't look" | | 1 | "Rory had walked past this" | | 2 | "Nyx didn't answer with words." | | 3 | "The shadow at her heel" | | 4 | "Nyx's whisper came from somewhere" | | 5 | "Eva, behind her, made a" | | 6 | "Rory pressed her thumb to" | | 7 | "The world folded." | | 8 | "It wasn't a passage so" | | 9 | "The grey English sky was" | | 10 | "Eva breathed, arriving at Rory's" | | 11 | "Wildflowers grew in drifts that" | | 12 | "The smell was almost too" | | 13 | "The shadow had taken a" | | 14 | "Rory moved first." | | 15 | "The moss-glass gave under her" | | 16 | "She glanced back." | | 17 | "Her footprints were already gone." | | 18 | "Nyx left none at all," | | 19 | "The canopy wasn't a canopy." |
| | ratio | 0.824 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 3 | | matches | | 0 | "One step on damp November grass, the next on something that yielded like moss but glittered underneath as if spun from green glass." | | 1 | "Wildflowers grew in drifts that had no business existing together — snowdrops beside foxglove beside something star-shaped and petalled in bruised violet that R…" | | 2 | "The trees here arched impossibly, their branches meeting overhead and knotting into patterns that resembled written script — not a language Rory could read, but…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 32.35% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "Eva breathed (breathe)" | | 1 | "Eva whispered (whisper)" | | 2 | "she murmured (murmur)" | | 3 | "she admitted (admit)" |
| | dialogueSentences | 34 | | tagDensity | 0.265 | | leniency | 0.529 | | rawRatio | 0.444 | | effectiveRatio | 0.235 | |