| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.441 | | leniency | 0.882 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1206 | | 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) | |
| 91.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1206 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 76 | | 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 | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1220 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 1037 | | uniqueNames | 13 | | maxNameDensity | 1.16 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | December | 1 | | London | 1 | | Eva | 9 | | Polish | 1 | | Rory | 12 | | Heartstone | 1 | | Camden | 1 | | Golden | 1 | | Empress | 1 | | Hel | 1 | | Nyx | 5 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Heartstone" | | 3 | "Nyx" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Polish" | | 4 | "Camden" |
| | globalScore | 0.921 | | windowScore | 0.833 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1220 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 94 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 27.73 | | std | 21.26 | | cv | 0.767 | | sampleLengths | | 0 | 30 | | 1 | 44 | | 2 | 31 | | 3 | 52 | | 4 | 18 | | 5 | 6 | | 6 | 4 | | 7 | 31 | | 8 | 17 | | 9 | 54 | | 10 | 3 | | 11 | 52 | | 12 | 68 | | 13 | 5 | | 14 | 48 | | 15 | 4 | | 16 | 36 | | 17 | 6 | | 18 | 28 | | 19 | 59 | | 20 | 5 | | 21 | 24 | | 22 | 63 | | 23 | 68 | | 24 | 4 | | 25 | 51 | | 26 | 11 | | 27 | 10 | | 28 | 37 | | 29 | 63 | | 30 | 8 | | 31 | 4 | | 32 | 4 | | 33 | 15 | | 34 | 59 | | 35 | 43 | | 36 | 11 | | 37 | 8 | | 38 | 2 | | 39 | 18 | | 40 | 21 | | 41 | 47 | | 42 | 19 | | 43 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 76 | | matches | | |
| 34.37% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 161 | | matches | | 0 | "was staring" | | 1 | "was grinning" | | 2 | "was leaving" | | 3 | "were singing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 94 | | ratio | 0.117 | | matches | | 0 | "Richmond Park sprawled behind her — bare December trees, a distant dog barking, the flat grey light of a London afternoon dying at three o'clock." | | 1 | "Not sun-warm — no sun had touched this place in weeks — but warm like skin, like the flank of a sleeping animal." | | 2 | "Now — nothing." | | 3 | "Not gradually — it was there and then it wasn't, snuffed like a match, and in its place came air so soft and full it felt like drinking." | | 4 | "Wildflowers — poppies and bluebells and cowslip and foxglove, things that had no business flowering in the same season, let alone the same month — spread out in a slope that dropped away farther than the ring of stones should have allowed." | | 5 | "Rory had her arm before the sound finished — but Eva wasn't in danger, she was staring up, and Rory followed her gaze and forgot how to breathe." | | 6 | "The grass parted for them, and Rory noticed after twenty paces that it stood back up behind her without a single blade broken — that she was leaving no trail at all." | | 7 | "Then, threaded through both, something that might have been singing if singing could be done without words or breath or any clear direction — it came from beneath, from the roots, from the ground pressing up through her soles." | | 8 | "Grown — the grain flowed into a brow, a closed eye, a mouth held in the particular slack shape of deep sleep." | | 9 | "The nearest face was small — a child's, cheeks round, lashes rendered in fine splinters of wood." | | 10 | "The flowers around her feet were singing a note Rory hadn't heard yet — high, and thin, and holding." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1031 | | adjectiveStacks | 1 | | stackExamples | | 0 | "whale-huge, translucent, drifting" |
| | adverbCount | 31 | | adverbRatio | 0.030067895247332686 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005819592628516004 | |
| 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 | 12.98 | | std | 11.4 | | cv | 0.879 | | sampleLengths | | 0 | 30 | | 1 | 12 | | 2 | 25 | | 3 | 7 | | 4 | 25 | | 5 | 6 | | 6 | 9 | | 7 | 3 | | 8 | 23 | | 9 | 17 | | 10 | 10 | | 11 | 8 | | 12 | 6 | | 13 | 4 | | 14 | 29 | | 15 | 2 | | 16 | 17 | | 17 | 7 | | 18 | 32 | | 19 | 3 | | 20 | 4 | | 21 | 8 | | 22 | 3 | | 23 | 4 | | 24 | 28 | | 25 | 20 | | 26 | 1 | | 27 | 21 | | 28 | 4 | | 29 | 42 | | 30 | 5 | | 31 | 10 | | 32 | 26 | | 33 | 6 | | 34 | 6 | | 35 | 4 | | 36 | 25 | | 37 | 11 | | 38 | 6 | | 39 | 28 | | 40 | 6 | | 41 | 36 | | 42 | 5 | | 43 | 12 | | 44 | 5 | | 45 | 20 | | 46 | 4 | | 47 | 5 | | 48 | 32 | | 49 | 20 |
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| 61.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.425531914893617 | | totalSentences | 94 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 66 | | matches | | 0 | "Then, threaded through both, something" | | 1 | "Then another, down the trunk" |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 66 | | matches | | 0 | "She pressed her palm flat" | | 1 | "It was warm." | | 2 | "She pulled her hand back" | | 3 | "She'd worn it four months" | | 4 | "She stepped through." | | 5 | "She stopped with one foot" | | 6 | "Their shadow-form bled at the" | | 7 | "They caught themselves against a" | | 8 | "They straightened, and the shadow" | | 9 | "It was layered, like looking" | | 10 | "They went down the slope." | | 11 | "She looked back at the" | | 12 | "She decided not to mention" | | 13 | "She cupped a bluebell and" | | 14 | "She let go." | | 15 | "Their voice had gone flat" | | 16 | "Her wrist itched." | | 17 | "She looked down and the" | | 18 | "She kept her voice down" |
| | ratio | 0.288 | |
| 58.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 66 | | matches | | 0 | "The oak stones stood in" | | 1 | "Rory circled the nearest stone," | | 2 | "Richmond Park sprawled behind her" | | 3 | "Nyx's voice came from the" | | 4 | "She pressed her palm flat" | | 5 | "It was warm." | | 6 | "She pulled her hand back" | | 7 | "Nyx agreed, and poured themselves" | | 8 | "Eva said something in Polish" | | 9 | "The Heartstone sat cold against" | | 10 | "She'd worn it four months" | | 11 | "Whatever waited past the stones," | | 12 | "She stepped through." | | 13 | "The cold went first." | | 14 | "She stopped with one foot" | | 15 | "The whole clearing was thick" | | 16 | "Grass to her knees." | | 17 | "Wildflowers — poppies and bluebells" | | 18 | "Nyx came through behind her" | | 19 | "Their shadow-form bled at the" |
| | ratio | 0.803 | |
| 75.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 66 | | matches | | | ratio | 0.015 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 6 | | matches | | 0 | "She pulled her hand back and looked at her palm as though it might have changed colour." | | 1 | "She stopped with one foot forward and her mouth open, and something landed on her tongue that tasted of elderflower." | | 2 | "Wildflowers — poppies and bluebells and cowslip and foxglove, things that had no business flowering in the same season, let alone the same month — spread out in…" | | 3 | "Then, threaded through both, something that might have been singing if singing could be done without words or breath or any clear direction — it came from benea…" | | 4 | "Nyx had drifted ahead, keeping to the long shadow of a rowan tree that grew alone in the middle of the meadow with fruit on it the colour of hot metal." | | 5 | "Water ran past it in a channel no wider than her hand, and the water was clear, and in the water, going the wrong way, upstream, swam three white leaves that fo…" |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory circled, boots crunching on frostbitten bracken" |
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| 32.35% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "She pressed (press)" | | 1 | "Nyx agreed (agree)" | | 2 | "Eva whispered (whisper)" | | 3 | "she breathed (breathe)" |
| | dialogueSentences | 34 | | tagDensity | 0.265 | | leniency | 0.529 | | rawRatio | 0.444 | | effectiveRatio | 0.235 | |