| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said quietly [quietly]" | | 1 | "Reyes flipped back [back]" | | 2 | "Quinn said slowly [slowly]" | | 3 | "she said again [again]" |
| | dialogueSentences | 30 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.267 | | effectiveRatio | 0.267 | |
| 85.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1069 | | totalAiIsmAdverbs | 3 | | 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) | |
| 90.65% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1069 | | 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 | 42 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 42 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 57 | | 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 | 1 | | markdownWords | 1 | | totalWords | 1073 | | ratio | 0.001 | | matches | | |
| 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 | 22 | | wordCount | 782 | | uniqueNames | 9 | | maxNameDensity | 0.9 | | worstName | "Reyes" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 2 | | Camden | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 5 | | Reyes | 7 | | Deptford | 1 | | Morris | 3 | | London | 1 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Reyes" | | 4 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 66.67% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | glossingSentenceCount | 1 | | matches | | 0 | "quite pain and wasn't quite anything she had a word for" | | 1 | "quite anything she had a word for" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1073 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 57 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 39.74 | | std | 32.21 | | cv | 0.81 | | sampleLengths | | 0 | 63 | | 1 | 46 | | 2 | 5 | | 3 | 6 | | 4 | 87 | | 5 | 19 | | 6 | 1 | | 7 | 66 | | 8 | 24 | | 9 | 121 | | 10 | 4 | | 11 | 2 | | 12 | 46 | | 13 | 35 | | 14 | 73 | | 15 | 88 | | 16 | 7 | | 17 | 9 | | 18 | 5 | | 19 | 45 | | 20 | 25 | | 21 | 70 | | 22 | 10 | | 23 | 48 | | 24 | 65 | | 25 | 30 | | 26 | 73 |
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| 96.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 42 | | matches | | |
| 59.15% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 142 | | matches | | 0 | "were looking" | | 1 | "was already writing" | | 2 | "was willing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 57 | | ratio | 0.088 | | matches | | 0 | "She crouched at the edge of the scorched circle on the platform floor — a perfect ring, nearly eight feet across, the old ceramic tiles beneath it not blackened so much as *vitrified*, fused to a glassy black sheen like a plate left too long in a kiln." | | 1 | "\"Fire spreads, Reyes. Fire climbs walls, it eats posters, it blisters paint on the ceiling. Look up.\" She didn't need to point; she'd already clocked it walking in." | | 2 | "There were markings pressed into it, as if it had been liquid once and something had stamped a pattern into it before it cooled — a ring of small, precise symbols, evenly spaced, running the full circumference." | | 3 | "Something on the ground near the tunnel mouth caught the light — a small object, half-buried in grit, easy to miss unless you were looking for things that didn't belong." | | 4 | "Not a coin — a token, disc-shaped, worn smooth on one face, and on the other, carved deep enough to have survived decades of pocket-wear, a symbol she recognized now with a cold certainty that settled into her spine like a hook." |
| |
| 87.94% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 781 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.05377720870678617 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.019206145966709345 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 57 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 57 | | mean | 18.82 | | std | 14.03 | | cv | 0.745 | | sampleLengths | | 0 | 30 | | 1 | 33 | | 2 | 30 | | 3 | 16 | | 4 | 5 | | 5 | 6 | | 6 | 48 | | 7 | 12 | | 8 | 1 | | 9 | 26 | | 10 | 11 | | 11 | 8 | | 12 | 1 | | 13 | 28 | | 14 | 24 | | 15 | 14 | | 16 | 9 | | 17 | 15 | | 18 | 23 | | 19 | 5 | | 20 | 37 | | 21 | 6 | | 22 | 3 | | 23 | 47 | | 24 | 4 | | 25 | 2 | | 26 | 20 | | 27 | 26 | | 28 | 32 | | 29 | 3 | | 30 | 28 | | 31 | 30 | | 32 | 15 | | 33 | 2 | | 34 | 42 | | 35 | 6 | | 36 | 23 | | 37 | 15 | | 38 | 7 | | 39 | 9 | | 40 | 5 | | 41 | 31 | | 42 | 14 | | 43 | 21 | | 44 | 4 | | 45 | 40 | | 46 | 30 | | 47 | 10 | | 48 | 48 | | 49 | 46 |
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| 96.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.7017543859649122 | | totalSentences | 57 | | uniqueOpeners | 40 | |
| 87.72% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 38 | | matches | | 0 | "Somewhere below, metal ticked as" |
| | ratio | 0.026 | |
| 51.58% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 38 | | matches | | 0 | "She ducked under the crime" | | 1 | "She crouched at the edge" | | 2 | "She didn't need to point;" | | 3 | "She leaned closer, careful not" | | 4 | "She'd seen symbols like that" | | 5 | "she said quietly" | | 6 | "She straightened, wiping chalky dust" | | 7 | "She crouched again, produced a" | | 8 | "She'd seen that symbol chalked" | | 9 | "She'd seen it since, twice," | | 10 | "she said, before she could" | | 11 | "She bagged it with the" | | 12 | "She stood, knees aching, and" | | 13 | "She looked down the black" | | 14 | "she said again, quieter" | | 15 | "She needed the room to" |
| | ratio | 0.421 | |
| 38.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 32 | | totalSentences | 38 | | matches | | 0 | "The abandoned Tube station beneath" | | 1 | "She ducked under the crime" | | 2 | "DC Reyes stood near the" | | 3 | "She crouched at the edge" | | 4 | "Skin drawn tight and grey" | | 5 | "Quinn said, mostly to herself" | | 6 | "She didn't need to point;" | | 7 | "The ceiling directly above the" | | 8 | "Reyes crouched beside her, reluctant," | | 9 | "She leaned closer, careful not" | | 10 | "The vitrified glass wasn't smooth." | | 11 | "She'd seen symbols like that" | | 12 | "she said quietly" | | 13 | "She straightened, wiping chalky dust" | | 14 | "Reyes flipped back a page" | | 15 | "Quinn walked the perimeter of" | | 16 | "Something on the ground near" | | 17 | "She crouched again, produced a" | | 18 | "A stylized eye inside a" | | 19 | "She'd seen that symbol chalked" |
| | ratio | 0.842 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 38 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 6 | | matches | | 0 | "She ducked under the crime scene tape strung across the collapsed turnstiles, her torch beam cutting through dust that hung motionless in the dead air, as if it…" | | 1 | "Skin drawn tight and grey over the bones, mouth open in an expression that wasn't quite pain and wasn't quite anything she had a word for." | | 2 | "There were markings pressed into it, as if it had been liquid once and something had stamped a pattern into it before it cooled — a ring of small, precise symbo…" | | 3 | "On the floor of a warehouse in Deptford, the night DS Morris walked in ahead of her and never walked out, and all she'd found afterward was a scorch mark not un…" | | 4 | "Something on the ground near the tunnel mouth caught the light — a small object, half-buried in grit, easy to miss unless you were looking for things that didn'…" | | 5 | "Not a coin — a token, disc-shaped, worn smooth on one face, and on the other, carved deep enough to have survived decades of pocket-wear, a symbol she recognize…" |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "Quinn said, mostly to herself" | | 1 | "she said again, quieter" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.233 | | leniency | 0.467 | | rawRatio | 0 | | effectiveRatio | 0 | |