| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said instead [instead]" |
| | dialogueSentences | 40 | | tagDensity | 0.45 | | leniency | 0.9 | | rawRatio | 0.056 | | effectiveRatio | 0.05 | |
| 82.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1132 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lightly" | | 1 | "slightly" | | 2 | "really" | | 3 | "completely" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 82.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1132 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "eyebrow" | | 1 | "flicker" | | 2 | "crystal" | | 3 | "unraveling" |
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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 | 43 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 43 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 64 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 69 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 1120 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 783 | | uniqueNames | 12 | | maxNameDensity | 1.28 | | worstName | "Tommy" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Tommy" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 6 | | Rory | 5 | | Whitfield | 1 | | Cardiff | 1 | | South | 1 | | America | 1 | | Evan | 1 | | Tommy | 10 | | Steph | 1 | | Eva | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Whitfield" | | 5 | "Evan" | | 6 | "Tommy" | | 7 | "Steph" | | 8 | "Eva" |
| | places | | 0 | "Cardiff" | | 1 | "South" | | 2 | "America" |
| | globalScore | 0.861 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1120 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 64 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 30.27 | | std | 22.72 | | cv | 0.75 | | sampleLengths | | 0 | 62 | | 1 | 11 | | 2 | 7 | | 3 | 57 | | 4 | 1 | | 5 | 40 | | 6 | 75 | | 7 | 13 | | 8 | 21 | | 9 | 61 | | 10 | 20 | | 11 | 47 | | 12 | 7 | | 13 | 30 | | 14 | 27 | | 15 | 2 | | 16 | 41 | | 17 | 4 | | 18 | 42 | | 19 | 81 | | 20 | 41 | | 21 | 7 | | 22 | 30 | | 23 | 25 | | 24 | 32 | | 25 | 4 | | 26 | 17 | | 27 | 71 | | 28 | 6 | | 29 | 40 | | 30 | 31 | | 31 | 6 | | 32 | 41 | | 33 | 3 | | 34 | 23 | | 35 | 25 | | 36 | 69 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 43 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 141 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 64 | | ratio | 0.109 | | matches | | 0 | "The Raven's Nest smelled the way it always had—whisky-soaked wood and the faint ghost of cigarette smoke that had seeped into the walls decades before the smoking ban." | | 1 | "It took her a second—longer than it should have—to place the face under the beard, the frame that had thickened since she'd last seen it." | | 2 | "Rory gave him a small shake of her head—*I've got this*—and crossed the room." | | 3 | "That was Silas—read a room before anyone in it knew what was in it themselves." | | 4 | "She thought of every version of Tommy she'd carried in her memory—the one who'd once climbed onto the roof of the student union at 3 a.m." | | 5 | "Rory looked at him—really looked—and saw the outline of every unsent letter, every almost-phone-call, every version of Tommy that could've existed if the sickness hadn't come, if Steph hadn't happened, if any single domino had fallen a different direction." | | 6 | "Silas drifted back with the bottle, topped up Tommy's glass without asking, gave Rory's arm the briefest touch on his way past—checking in, the way he always did, without making a production of it." |
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| 94.28% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 795 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.04654088050314465 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007547169811320755 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 17.5 | | std | 12.43 | | cv | 0.71 | | sampleLengths | | 0 | 28 | | 1 | 34 | | 2 | 11 | | 3 | 7 | | 4 | 2 | | 5 | 30 | | 6 | 25 | | 7 | 1 | | 8 | 26 | | 9 | 14 | | 10 | 2 | | 11 | 26 | | 12 | 18 | | 13 | 29 | | 14 | 13 | | 15 | 12 | | 16 | 9 | | 17 | 46 | | 18 | 15 | | 19 | 11 | | 20 | 9 | | 21 | 7 | | 22 | 40 | | 23 | 7 | | 24 | 27 | | 25 | 3 | | 26 | 20 | | 27 | 7 | | 28 | 2 | | 29 | 17 | | 30 | 24 | | 31 | 4 | | 32 | 21 | | 33 | 21 | | 34 | 6 | | 35 | 26 | | 36 | 23 | | 37 | 8 | | 38 | 18 | | 39 | 16 | | 40 | 25 | | 41 | 7 | | 42 | 11 | | 43 | 19 | | 44 | 25 | | 45 | 6 | | 46 | 26 | | 47 | 4 | | 48 | 17 | | 49 | 39 |
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| 95.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.609375 | | totalSentences | 64 | | uniqueOpeners | 39 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 40 | | matches | | 0 | "Just something sadder." |
| | ratio | 0.025 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 40 | | matches | | 0 | "She didn't get three steps" | | 1 | "It took her a second—longer" | | 2 | "He stood, and the chair" | | 3 | "He'd been lean then, all" | | 4 | "she started, and didn't know" | | 5 | "He laughed, but it came" | | 6 | "She sat when he gestured" | | 7 | "She didn't offer more than" | | 8 | "She said it lightly, watching" | | 9 | "He turned the glass, not" | | 10 | "He said it flat, no" | | 11 | "He said this the way" | | 12 | "She thought of every version" | | 13 | "he said, before she could" | | 14 | "He finally drank, wincing slightly" | | 15 | "she said, and left it" | | 16 | "he said instead" | | 17 | "She recognised the shape of" | | 18 | "She wore a version of" | | 19 | "He smiled, but it didn't" |
| | ratio | 0.575 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 40 | | matches | | 0 | "The Raven's Nest smelled the" | | 1 | "Rory pushed through the door" | | 2 | "She didn't get three steps" | | 3 | "A man sat alone at" | | 4 | "It took her a second—longer" | | 5 | "He stood, and the chair" | | 6 | "Rory gave him a small" | | 7 | "He'd been lean then, all" | | 8 | "she started, and didn't know" | | 9 | "He laughed, but it came" | | 10 | "She sat when he gestured" | | 11 | "That was Silas—read a room" | | 12 | "Tommy wrapped both hands around" | | 13 | "She didn't offer more than" | | 14 | "Evan's name didn't belong in" | | 15 | "She said it lightly, watching" | | 16 | "He turned the glass, not" | | 17 | "He said it flat, no" | | 18 | "He said this the way" | | 19 | "Rory didn't say anything right" |
| | ratio | 0.875 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 40 | | matches | | 0 | "Now his shoulders had rounded" | | 1 | "because someone dared him, the" |
| | ratio | 0.05 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 5 | | matches | | 0 | "The Raven's Nest smelled the way it always had—whisky-soaked wood and the faint ghost of cigarette smoke that had seeped into the walls decades before the smoki…" | | 1 | "Rory pushed through the door with rain still clinging to her shoulders, shaking it off like a dog might, and made for the bar where Silas was polishing a glass …" | | 2 | "Now his shoulders had rounded forward, like something invisible pressed down on them, and there were lines around his eyes that hadn't earned the right to be th…" | | 3 | "Evan's name didn't belong in this conversation, not tonight, maybe not ever with Tommy, who still remembered her as the girl who used to argue contract law theo…" | | 4 | "Rory looked at him—really looked—and saw the outline of every unsent letter, every almost-phone-call, every version of Tommy that could've existed if the sickne…" |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 3 | | matches | | 0 | "He stood, and the chair scraped back loud enough that Silas glanced over from the bar, one eyebrow lifting in silent question" | | 1 | "He turned, not drinking, just turning it, the ice clicking against crystal" | | 2 | "He said, but his jaw tightened on the last word" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "He laughed (laugh)" | | 1 | "she agreed (agree)" |
| | dialogueSentences | 40 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.2 | | effectiveRatio | 0.1 | |