| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1499 | | totalAiIsmAdverbs | 2 | | 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) | |
| 46.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1499 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "weight" | | 1 | "predator" | | 2 | "perfect" | | 3 | "pumping" | | 4 | "tracing" | | 5 | "scanned" | | 6 | "methodical" | | 7 | "etched" | | 8 | "quivered" | | 9 | "pulse" | | 10 | "footsteps" | | 11 | "echoing" | | 12 | "vibrated" | | 13 | "sense of" | | 14 | "pulsed" |
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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 | 115 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 115 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1488 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1198 | | uniqueNames | 13 | | maxNameDensity | 0.92 | | worstName | "Osei" | | maxWindowNameDensity | 2 | | worstWindowName | "Osei" | | discoveredNames | | Veil | 1 | | Market | 1 | | Camden | 1 | | Harlow | 7 | | Quinn | 2 | | Osei | 11 | | London | 1 | | Shade | 1 | | Barking | 1 | | Underground | 1 | | Eva | 2 | | Kowalski | 1 | | Morris | 1 |
| | persons | | 0 | "Market" | | 1 | "Camden" | | 2 | "Harlow" | | 3 | "Quinn" | | 4 | "Osei" | | 5 | "Eva" | | 6 | "Kowalski" | | 7 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 86.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 79 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite" | | 1 | "lines that seemed to slide out of focus if she stared too long" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1488 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 131 | | matches | | 0 | "learned that certainty" | | 1 | "believe that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 38.15 | | std | 29.23 | | cv | 0.766 | | sampleLengths | | 0 | 93 | | 1 | 59 | | 2 | 38 | | 3 | 4 | | 4 | 8 | | 5 | 45 | | 6 | 14 | | 7 | 62 | | 8 | 5 | | 9 | 4 | | 10 | 2 | | 11 | 21 | | 12 | 64 | | 13 | 4 | | 14 | 39 | | 15 | 56 | | 16 | 21 | | 17 | 12 | | 18 | 94 | | 19 | 9 | | 20 | 60 | | 21 | 9 | | 22 | 82 | | 23 | 16 | | 24 | 38 | | 25 | 26 | | 26 | 50 | | 27 | 83 | | 28 | 18 | | 29 | 16 | | 30 | 3 | | 31 | 97 | | 32 | 84 | | 33 | 63 | | 34 | 59 | | 35 | 40 | | 36 | 12 | | 37 | 30 | | 38 | 48 |
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| 93.06% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 115 | | matches | | 0 | "been poured" | | 1 | "was etched" | | 2 | "were dusted" | | 3 | "been found" |
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| 67.99% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 202 | | matches | | 0 | "wasn’t spinning" | | 1 | "was pointing" | | 2 | "was recalibrating" | | 3 | "was holding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 131 | | ratio | 0.069 | | matches | | 0 | "Detective Harlow Quinn felt the weight of it before she cleared the last stairwell—a prickling wrongness that settled behind her sternum and refused to shift." | | 1 | "The corridor smelled of damp London brick and something sharper—copper, but not quite." | | 2 | "Harlow ran a finger above the floor—not touching, just tracing the temperature gradient." | | 3 | "Its casing bloomed with verdigris, the green of old pennies, and the face was etched with sigils—interlocking lines that seemed to slide out of focus if she stared too long." | | 4 | "The dead man’s index finger and thumb were dusted with white—fine powder, slightly luminous under her torch." | | 5 | "Her watch stopped—she caught the tiny hesitation of its second hand, a stutter that lasted half a breath before it resumed." | | 6 | "The needle swept past the body—past north, past logic—and aimed once more at the end wall." | | 7 | "The chalked circle on the floor—what was left of it—caught her torch beam and held it, the faint lines flaring for a fraction of a second before settling." | | 8 | "The cold didn’t retreat; it just turned expectant, as if something behind the wall was holding its breath." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 556 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.025179856115107913 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0017985611510791368 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 11.36 | | std | 8.52 | | cv | 0.75 | | sampleLengths | | 0 | 10 | | 1 | 25 | | 2 | 10 | | 3 | 10 | | 4 | 30 | | 5 | 8 | | 6 | 11 | | 7 | 2 | | 8 | 4 | | 9 | 15 | | 10 | 8 | | 11 | 19 | | 12 | 32 | | 13 | 6 | | 14 | 4 | | 15 | 8 | | 16 | 35 | | 17 | 10 | | 18 | 14 | | 19 | 13 | | 20 | 8 | | 21 | 17 | | 22 | 5 | | 23 | 7 | | 24 | 8 | | 25 | 4 | | 26 | 5 | | 27 | 3 | | 28 | 1 | | 29 | 2 | | 30 | 11 | | 31 | 4 | | 32 | 6 | | 33 | 15 | | 34 | 6 | | 35 | 22 | | 36 | 3 | | 37 | 2 | | 38 | 16 | | 39 | 4 | | 40 | 13 | | 41 | 7 | | 42 | 2 | | 43 | 2 | | 44 | 15 | | 45 | 6 | | 46 | 41 | | 47 | 9 | | 48 | 6 | | 49 | 15 |
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| 54.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.37404580152671757 | | totalSentences | 131 | | uniqueOpeners | 49 | |
| 64.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 103 | | matches | | 0 | "Then it swung, slow but" | | 1 | "Then she held the compass" |
| | ratio | 0.019 | |
| 80.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 103 | | matches | | 0 | "She hadn’t called in that" | | 1 | "He nodded at the taped-off" | | 2 | "She let the name slide" | | 3 | "He studied the scene longer" | | 4 | "She gave him that." | | 5 | "She reset her weight onto" | | 6 | "She didn’t finish the sentence" | | 7 | "She began a methodical pat-down" | | 8 | "Its casing bloomed with verdigris," | | 9 | "She only knew it prickled" | | 10 | "It wasn’t spinning." | | 11 | "It was pointing at the" | | 12 | "She moved the compass a" | | 13 | "She uncurled his hand gently." | | 14 | "She swept the beam across" | | 15 | "She tapped the compass" | | 16 | "Her watch stopped—she caught the" | | 17 | "She’d felt that cold once" | | 18 | "She’d told herself she imagined" | | 19 | "He nodded and retreated toward" |
| | ratio | 0.35 | |
| 57.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 103 | | matches | | 0 | "The Veil Market crouched beneath" | | 1 | "Detective Harlow Quinn felt the" | | 2 | "The entrance was a ticket" | | 3 | "Bone tokens changed hands in" | | 4 | "She hadn’t called in that" | | 5 | "Sachets of powdered yew." | | 6 | "Jars with things suspended in" | | 7 | "The air tasted of ozone" | | 8 | "The vendors watched her pass" | | 9 | "DC Osei waited at the" | | 10 | "He nodded at the taped-off" | | 11 | "She let the name slide" | | 12 | "The corridor smelled of damp" | | 13 | "Moss grew between the tiles" | | 14 | "Halfway down, a body lay" | | 15 | "Harlow crouched and held up" | | 16 | "Osei stopped behind her." | | 17 | "Osei leaned in." | | 18 | "He studied the scene longer" | | 19 | "She gave him that." |
| | ratio | 0.806 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 103 | | matches | | 0 | "As if the blood had" | | 1 | "Now the cold had texture," | | 2 | "Now the nonsense had a" |
| | ratio | 0.029 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 4 | | matches | | 0 | "One of them, a knuckle-sized disc carved from what she didn’t want to name, already sat in her coat pocket, a souvenir from a fence who owed her a favour." | | 1 | "Its casing bloomed with verdigris, the green of old pennies, and the face was etched with sigils—interlocking lines that seemed to slide out of focus if she sta…" | | 2 | "The needle didn’t shift, as if magnetised to something inside the brickwork." | | 3 | "The cold didn’t retreat; it just turned expectant, as if something behind the wall was holding its breath." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.269 | | leniency | 0.538 | | rawRatio | 0 | | effectiveRatio | 0 | |