| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1582 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "slowly" | | 3 | "carefully" | | 4 | "barely above a whisper" |
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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) | |
| 52.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1582 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "gloom" | | 1 | "weight" | | 2 | "flickered" | | 3 | "glint" | | 4 | "echoed" | | 5 | "mechanical" | | 6 | "standard" | | 7 | "pulse" | | 8 | "silence" | | 9 | "whisper" | | 10 | "racing" | | 11 | "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 | 131 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 131 | | 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 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 27 | | markdownWords | 55 | | totalWords | 1572 | | ratio | 0.035 | | matches | | 0 | "Keep Calm and Carry On" | | 1 | "placed" | | 2 | "stuck" | | 3 | "phone" | | 4 | "on them" | | 5 | "clean" | | 6 | "needle" | | 7 | "drained" | | 8 | "took" | | 9 | "Eva Kowalski." | | 10 | "what" | | 11 | "vanished" | | 12 | "The London Evening Standard" | | 13 | "Tabloid of the Strange" | | 14 | "what" | | 15 | "what" | | 16 | "rifts" | | 17 | "They’re using the old stations." | | 18 | "invitations." | | 19 | "The Book of the Unseen Path." | | 20 | "doors" | | 21 | "symbols." | | 22 | "sacrifice." | | 23 | "Veil" | | 24 | "browser history." | | 25 | "we’re not just looking for a killer." | | 26 | "door." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 59 | | wordCount | 1132 | | uniqueNames | 11 | | maxNameDensity | 1.77 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 20 | | Calm | 1 | | Carry | 1 | | Morris | 6 | | Tom | 1 | | Whitaker | 9 | | Adam | 1 | | Didn | 1 | | Eva | 17 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Tom" | | 4 | "Whitaker" | | 5 | "Adam" | | 6 | "Eva" |
| | places | (empty) | | globalScore | 0.617 | | windowScore | 0 | |
| 51.32% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like he hadn’t slept in days" | | 1 | "as if expecting something to emerge from them" | | 2 | "something like this" |
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| 9.16% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.908 | | wordCount | 1572 | | matches | | 0 | "not just with dust but with the weight of something unseen, something" | | 1 | "not back yet, but the ME’s guessing an overdose" | | 2 | "Not this exact piece, but she’d seen one like it before" |
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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 | 65 | | mean | 24.18 | | std | 21.52 | | cv | 0.89 | | sampleLengths | | 0 | 91 | | 1 | 30 | | 2 | 53 | | 3 | 56 | | 4 | 9 | | 5 | 44 | | 6 | 86 | | 7 | 6 | | 8 | 3 | | 9 | 47 | | 10 | 14 | | 11 | 38 | | 12 | 37 | | 13 | 1 | | 14 | 63 | | 15 | 27 | | 16 | 3 | | 17 | 40 | | 18 | 15 | | 19 | 28 | | 20 | 18 | | 21 | 40 | | 22 | 5 | | 23 | 54 | | 24 | 41 | | 25 | 2 | | 26 | 38 | | 27 | 6 | | 28 | 48 | | 29 | 39 | | 30 | 16 | | 31 | 14 | | 32 | 18 | | 33 | 7 | | 34 | 84 | | 35 | 10 | | 36 | 12 | | 37 | 15 | | 38 | 15 | | 39 | 18 | | 40 | 13 | | 41 | 11 | | 42 | 2 | | 43 | 30 | | 44 | 12 | | 45 | 7 | | 46 | 42 | | 47 | 19 | | 48 | 11 | | 49 | 7 |
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| 97.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 131 | | matches | | 0 | "been *placed" | | 1 | "were rusted" | | 2 | "been dragged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 196 | | matches | | 0 | "was hearing" | | 1 | "was steadying" |
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| 7.61% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 169 | | ratio | 0.047 | | matches | | 0 | "The beam of her torch cut through the gloom, illuminating peeling posters from the 1940s—*Keep Calm and Carry On*—their edges curled like dying leaves." | | 1 | "The crime scene photos were still taped to the wall—a young man, early twenties, splayed across the tracks like a broken marionette." | | 2 | "She brought her fingers to her nose—no chemical bite, no acrid tang of drugs." | | 3 | "It was symbols—crude, but deliberate." | | 4 | "A fragment, no bigger than a fingernail, but unmistakable—the curved edge of a compass casing, patinated with verdigris." | | 5 | "A sound echoed from the far end of the platform—a scuffle, a muffled curse." | | 6 | "“The boy who died. His name was Jamie Ritter.” Eva pulled a photo from her notebook—a young man with dark hair, a nervous smile." | | 7 | "She could see it now—the pieces clicking into place like the tumblers of a lock." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1139 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.03424056189640035 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.00877963125548727 | |
| 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 | 9.3 | | std | 7.96 | | cv | 0.856 | | sampleLengths | | 0 | 22 | | 1 | 16 | | 2 | 24 | | 3 | 29 | | 4 | 8 | | 5 | 17 | | 6 | 5 | | 7 | 40 | | 8 | 8 | | 9 | 5 | | 10 | 3 | | 11 | 9 | | 12 | 22 | | 13 | 14 | | 14 | 2 | | 15 | 4 | | 16 | 1 | | 17 | 1 | | 18 | 9 | | 19 | 2 | | 20 | 34 | | 21 | 8 | | 22 | 5 | | 23 | 6 | | 24 | 17 | | 25 | 20 | | 26 | 5 | | 27 | 7 | | 28 | 14 | | 29 | 7 | | 30 | 4 | | 31 | 1 | | 32 | 3 | | 33 | 3 | | 34 | 2 | | 35 | 1 | | 36 | 17 | | 37 | 30 | | 38 | 3 | | 39 | 11 | | 40 | 6 | | 41 | 10 | | 42 | 5 | | 43 | 14 | | 44 | 3 | | 45 | 11 | | 46 | 9 | | 47 | 17 | | 48 | 1 | | 49 | 11 |
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| 50.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.33727810650887574 | | totalSentences | 169 | | uniqueOpeners | 57 | |
| 88.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 113 | | matches | | 0 | "Just the faintest scent of" | | 1 | "Then she turned slowly, her" | | 2 | "Somewhere in the distance, water" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 113 | | matches | | 0 | "She exhaled through her nose," | | 1 | "He looked like he hadn’t" | | 2 | "She moved past him, her" | | 3 | "His skin was gray, his" | | 4 | "she asked, though she already" | | 5 | "He pointed to a small," | | 6 | "It was too precise, the" | | 7 | "She reached into her coat" | | 8 | "It didn’t flake like ash." | | 9 | "It *stuck*, slightly tacky, like" | | 10 | "She brought her fingers to" | | 11 | "She stood abruptly." | | 12 | "She turned on him, her" | | 13 | "It was symbols—crude, but deliberate." | | 14 | "Her watch dug into her" | | 15 | "She ignored Whitaker, stepping closer" | | 16 | "She knelt again, running her" | | 17 | "Her breath hitched." | | 18 | "She knew this." | | 19 | "She pocketed the fragment." |
| | ratio | 0.292 | |
| 30.80% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 113 | | matches | | 0 | "The abandoned Tube station reeked" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The beam of her torch" | | 3 | "The air was thick, not" | | 4 | "She exhaled through her nose," | | 5 | "Another scene that smelled wrong." | | 6 | "The voice came from the" | | 7 | "He looked like he hadn’t" | | 8 | "Quinn didn’t answer." | | 9 | "She moved past him, her" | | 10 | "The crime scene photos were" | | 11 | "His skin was gray, his" | | 12 | "she asked, though she already" | | 13 | "He pointed to a small," | | 14 | "Quinn crouched, her knees popping." | | 15 | "The circle wasn’t a scorch" | | 16 | "It was too precise, the" | | 17 | "She reached into her coat" | | 18 | "It didn’t flake like ash." | | 19 | "It *stuck*, slightly tacky, like" |
| | ratio | 0.858 | |
| 44.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 113 | | matches | | 0 | "Because, she wanted to say," |
| | ratio | 0.009 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "The abandoned Tube station reeked of damp concrete and something older, something that clung to the back of the throat like rust." | | 1 | "The air was thick, not just with dust but with the weight of something unseen, something that made the hairs on the back of her neck stand at attention." | | 2 | "A case file with too many missing pages, too many witnesses who couldn’t remember what they’d seen." | | 3 | "A case that had ended with him vanishing into thin air, leaving behind only a single, cryptic note: *They’re using the old stations.*" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 3 | | matches | | 0 | "She turned on, her voice low, controlled" | | 1 | "She stepped, her voice dropping to a growl" | | 2 | "Eva’s eyes darted, as if expecting something to emerge from them" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn barked (bark)" | | 1 | "she barked (bark)" |
| | dialogueSentences | 57 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0.667 | | effectiveRatio | 0.07 | |