| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1741 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
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| | 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) | |
| 42.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1741 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "warmth" | | 1 | "throb" | | 2 | "pulse" | | 3 | "traced" | | 4 | "perfect" | | 5 | "measured" | | 6 | "weight" | | 7 | "echo" | | 8 | "resonance" | | 9 | "pulsed" | | 10 | "comforting" | | 11 | "quickened" | | 12 | "vibrated" | | 13 | "stomach" |
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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 | 169 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 169 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 169 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 37 | | totalWords | 1765 | | ratio | 0.021 | | matches | | 0 | "Go tonight." | | 1 | "Don't be here when the moon crosses the stones." | | 2 | "The walls are thinner than you think" | | 3 | "Some tenants hear things in the cellar." | | 4 | "Don't be here when the moon crosses the stones." | | 5 | "Give it back." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1761 | | uniqueNames | 9 | | maxNameDensity | 0.91 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 6 | | Rory | 16 | | Park | 1 | | Isolde | 1 | | Silas | 3 | | London | 3 | | Tuesday | 1 | | November | 1 | | Carter | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Isolde" | | 3 | "Silas" | | 4 | "Tuesday" | | 5 | "Carter" |
| | places | | 0 | "Park" | | 1 | "London" | | 2 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 98.45% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 97 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a mouth caught mid-scream" | | 1 | "felt like a warning" |
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| 86.69% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.133 | | wordCount | 1765 | | matches | | 0 | "Not enough to trap her, but enough to scrape her shoulders on either side" | | 1 | "not the faint glow she'd seen in dark rooms but a deep, arterial pulse" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 169 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 40.11 | | std | 29.31 | | cv | 0.731 | | sampleLengths | | 0 | 13 | | 1 | 46 | | 2 | 103 | | 3 | 13 | | 4 | 24 | | 5 | 68 | | 6 | 50 | | 7 | 65 | | 8 | 9 | | 9 | 87 | | 10 | 6 | | 11 | 56 | | 12 | 82 | | 13 | 57 | | 14 | 3 | | 15 | 1 | | 16 | 87 | | 17 | 6 | | 18 | 54 | | 19 | 27 | | 20 | 89 | | 21 | 36 | | 22 | 3 | | 23 | 64 | | 24 | 8 | | 25 | 54 | | 26 | 53 | | 27 | 9 | | 28 | 60 | | 29 | 74 | | 30 | 50 | | 31 | 8 | | 32 | 4 | | 33 | 48 | | 34 | 48 | | 35 | 55 | | 36 | 6 | | 37 | 76 | | 38 | 40 | | 39 | 8 | | 40 | 56 | | 41 | 49 | | 42 | 3 | | 43 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 169 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 285 | | matches | | 0 | "was driving" | | 1 | "was reacting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 24 | | semicolonCount | 0 | | flaggedSentences | 16 | | totalSentences | 169 | | ratio | 0.095 | | matches | | 0 | "Not the gentle warmth it usually offered — a dull throb, like a second pulse beating against her skin." | | 1 | "Richmond Park at midnight was stupid enough on its own, but the grove — Isolde's grove, whatever the locals called it — sat well past the boundary markers where dog walkers feared to tread." | | 2 | "The message from Silas had arrived at 11:58 — just two words and an address: *Go tonight.* No explanation." | | 3 | "The gap between the second and third standing stones — where she'd ducked through easily at 2pm on a Tuesday — had narrowed." | | 4 | "Not dramatically — no horror-movie transformation or theatrical widening of the eyes." | | 5 | "The standing stones — she counted them, her lips moving — eight." | | 6 | "The sound came from everywhere and nowhere — a slow, wet intake, like someone breathing through a cloth held over their mouth." | | 7 | "Now every single bloom — the yellow ones, the purple, the white she hadn't noticed before — faced inward." | | 8 | "Not parted, not exactly — moved, like something enormous had dragged itself across the sky's underbelly and disturbed the cover." | | 9 | "A hum, or a moan, or the frequency between the two — something that lived in the bones rather than the ears." | | 10 | "Every rational thought she possessed — and Rory Carter had always possessed plenty — screamed the same instruction with increasing volume." | | 11 | "Whatever answers Silas wanted her to find, whatever the Heartstone was reacting to, whatever the grove contained — none of it was worth this." | | 12 | "Where the gap between the oaks had been — where her shoulders had scraped bark thirty seconds ago — two standing stones now stood flush together, sealed with no visible seam." | | 13 | "The moon had found a gap in the clouds, and its light poured into the clearing like something poured from a jug — thick, grey-white, wrong." | | 14 | "Its surface — she couldn't bring herself to call it skin — was the colour of wet slate, smooth and featureless where a face should have been." | | 15 | "Not with a mouth — the figure had none — but through the hum that had climbed through Rory's spine." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1747 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 55 | | adverbRatio | 0.031482541499713794 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.007441327990841442 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 169 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 169 | | mean | 10.44 | | std | 8.8 | | cv | 0.843 | | sampleLengths | | 0 | 13 | | 1 | 19 | | 2 | 20 | | 3 | 7 | | 4 | 4 | | 5 | 3 | | 6 | 34 | | 7 | 27 | | 8 | 7 | | 9 | 23 | | 10 | 2 | | 11 | 3 | | 12 | 5 | | 13 | 8 | | 14 | 7 | | 15 | 4 | | 16 | 1 | | 17 | 12 | | 18 | 12 | | 19 | 1 | | 20 | 19 | | 21 | 2 | | 22 | 34 | | 23 | 14 | | 24 | 17 | | 25 | 19 | | 26 | 5 | | 27 | 6 | | 28 | 23 | | 29 | 14 | | 30 | 17 | | 31 | 9 | | 32 | 12 | | 33 | 14 | | 34 | 5 | | 35 | 19 | | 36 | 6 | | 37 | 2 | | 38 | 2 | | 39 | 27 | | 40 | 6 | | 41 | 10 | | 42 | 2 | | 43 | 11 | | 44 | 4 | | 45 | 29 | | 46 | 33 | | 47 | 8 | | 48 | 12 | | 49 | 3 |
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| 45.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.32142857142857145 | | totalSentences | 168 | | uniqueOpeners | 54 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 136 | | matches | | 0 | "Just a settling." | | 1 | "Then she'd changed the subject" | | 2 | "Instead, it felt like a" | | 3 | "Roughly human in shape but" | | 4 | "Just a surface that gleamed" | | 5 | "Then it spoke." |
| | ratio | 0.044 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 136 | | matches | | 0 | "She pressed her thumb against" | | 1 | "She shouldn't be here." | | 2 | "She knew that." | | 3 | "She couldn't smell it now." | | 4 | "she muttered to herself" | | 5 | "Her voice sounded flat." | | 6 | "She pulled her phone from" | | 7 | "She'd paid cash and walked" | | 8 | "She was certain of it" | | 9 | "She'd measured it once, stepping" | | 10 | "She stood at its edge" | | 11 | "Her breath stopped misting." | | 12 | "She couldn't see the stars." | | 13 | "She couldn't see the treeline" | | 14 | "She counted again." | | 15 | "It caught no light, as" | | 16 | "Her voice left her mouth" | | 17 | "He'd never explained anything properly," | | 18 | "He poured her drinks when" | | 19 | "She reached up and closed" |
| | ratio | 0.287 | |
| 73.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 136 | | matches | | 0 | "The Heartstone burned against Rory's" | | 1 | "She pressed her thumb against" | | 2 | "The pendant had never done" | | 3 | "She shouldn't be here." | | 4 | "She knew that." | | 5 | "Richmond Park at midnight was" | | 6 | "Rory had memorised the route" | | 7 | "She couldn't smell it now." | | 8 | "The air tasted metallic, like" | | 9 | "she muttered to herself" | | 10 | "Her voice sounded flat." | | 11 | "The kind of quiet that" | | 12 | "She pulled her phone from" | | 13 | "The message from Silas had" | | 14 | "The text sat in her" | | 15 | "The driver had given her" | | 16 | "A specific look, the kind" | | 17 | "She'd paid cash and walked" | | 18 | "She was certain of it" | | 19 | "The gap between the second" |
| | ratio | 0.772 | |
| 36.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 136 | | matches | | 0 | "Now every single bloom —" |
| | ratio | 0.007 | |
| 93.93% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 73 | | technicalSentenceCount | 5 | | matches | | 0 | "Rory had memorised the route during daylight hours, counted the oak trunks, noted the split in the third standing stone that looked like a mouth caught mid-scre…" | | 1 | "Just a surface that gleamed in the moonlight and reflected her own terrified expression back at her, distorted, stretched, made unfamiliar." | | 2 | "The movement took longer than it should have, as though the thing existed in a different current of time, and its joints didn't bend so much as fold, like paper…" | | 3 | "The crimson gem blazed with light, not the faint glow she'd seen in dark rooms but a deep, arterial pulse that threw shadows across the grass and turned the wil…" | | 4 | "The sound changed, modulated, formed shapes that weren't words but carried meaning nonetheless." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |