| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 30 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.083 | | effectiveRatio | 0.067 | |
| 87.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1960 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "lazily" | | 1 | "very" | | 2 | "slowly" | | 3 | "perfectly" | | 4 | "really" |
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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) | |
| 61.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1960 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "measured" | | 1 | "footfall" | | 2 | "charged" | | 3 | "velvet" | | 4 | "shattered" | | 5 | "shimmered" | | 6 | "silk" | | 7 | "weight" | | 8 | "etched" | | 9 | "resonance" | | 10 | "echoed" | | 11 | "trembled" | | 12 | "could feel" |
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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 | 127 | | matches | (empty) | |
| 86.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 127 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 84 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1944 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1428 | | uniqueNames | 10 | | maxNameDensity | 1.26 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 18 | | Tube | 1 | | Camden | 2 | | Reeves | 8 | | Kowalski | 2 | | Morris | 3 | | Eva | 12 | | Veil | 1 | | Compass | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Reeves" | | 3 | "Kowalski" | | 4 | "Morris" | | 5 | "Eva" | | 6 | "Compass" |
| | places | (empty) | | globalScore | 0.87 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 1 | | matches | | 0 | "as though trying to bury itself in the glass" |
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| 97.12% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.029 | | wordCount | 1944 | | matches | | 0 | "not saying the woman’s lying, but she’s clearly part of this world" | | 1 | "not into the neat pattern Reeves wanted, but into something far more dangerous" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 145 | | matches | | 0 | "through that night" | | 1 | "was that someone" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 51.16 | | std | 31.99 | | cv | 0.625 | | sampleLengths | | 0 | 121 | | 1 | 124 | | 2 | 29 | | 3 | 11 | | 4 | 57 | | 5 | 81 | | 6 | 7 | | 7 | 35 | | 8 | 85 | | 9 | 106 | | 10 | 24 | | 11 | 55 | | 12 | 17 | | 13 | 103 | | 14 | 93 | | 15 | 22 | | 16 | 10 | | 17 | 43 | | 18 | 73 | | 19 | 55 | | 20 | 13 | | 21 | 75 | | 22 | 8 | | 23 | 88 | | 24 | 33 | | 25 | 19 | | 26 | 45 | | 27 | 25 | | 28 | 82 | | 29 | 64 | | 30 | 24 | | 31 | 36 | | 32 | 36 | | 33 | 39 | | 34 | 57 | | 35 | 49 | | 36 | 52 | | 37 | 48 |
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| 83.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 8 | | totalSentences | 127 | | matches | | 0 | "been colonised" | | 1 | "were blackened" | | 2 | "been seared" | | 3 | "were flushed" | | 4 | "being told" | | 5 | "been robbed" | | 6 | "been silenced" | | 7 | "been meant" | | 8 | "been left" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 247 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 3 | | flaggedSentences | 11 | | totalSentences | 145 | | ratio | 0.076 | | matches | | 0 | "The air changed as she dropped below street level—thicker, charged, carrying an undertone of scorched metal and something sweeter, like myrrh left too long on a brazier." | | 1 | "Once, trains had screamed through on their way north; now the space had been colonised by stalls cobbled together from splintered pallets, velvet drapes, and iron scaffolding." | | 2 | "A single bone token—yellowed, carved with a spiral—lay discarded near the yellow police tape." | | 3 | "His robes, once midnight blue, were now soaked only at the collar; the concrete beneath him remained dry." | | 4 | "A faint sigil—three overlapping crescents—had been seared into the skin just below the left clavicle." | | 5 | "Her freckled cheeks were flushed, and she kept tucking an errant strand behind her left ear—once, twice—while clutching the strap of a worn leather satchel bulging with books." | | 6 | "The shadows in the photographs, the way his watch had melted on his wrist, the scent of ozone that clung to his clothes—details she had buried under layers of procedure." | | 7 | "For the first time she noticed a second set of footprints in the dust—smaller than the victim’s, boots with a distinctive tread pattern that matched none of her officers." | | 8 | "The vendor hadn’t been robbed; he had been silenced before he could close whatever doorway he had opened for a client." | | 9 | "She looked at Eva—really looked." | | 10 | "The market’s lingering smoke curled after them like fingers, and the compass began to sing—a thin, metallic note only she could hear." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1446 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 55 | | adverbRatio | 0.03803596127247579 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.01313969571230982 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 13.41 | | std | 11.04 | | cv | 0.823 | | sampleLengths | | 0 | 27 | | 1 | 23 | | 2 | 27 | | 3 | 23 | | 4 | 10 | | 5 | 11 | | 6 | 9 | | 7 | 27 | | 8 | 6 | | 9 | 23 | | 10 | 18 | | 11 | 14 | | 12 | 12 | | 13 | 9 | | 14 | 6 | | 15 | 14 | | 16 | 15 | | 17 | 8 | | 18 | 3 | | 19 | 17 | | 20 | 40 | | 21 | 5 | | 22 | 13 | | 23 | 18 | | 24 | 10 | | 25 | 4 | | 26 | 16 | | 27 | 15 | | 28 | 7 | | 29 | 4 | | 30 | 31 | | 31 | 5 | | 32 | 23 | | 33 | 7 | | 34 | 21 | | 35 | 29 | | 36 | 6 | | 37 | 17 | | 38 | 6 | | 39 | 28 | | 40 | 21 | | 41 | 17 | | 42 | 2 | | 43 | 2 | | 44 | 7 | | 45 | 5 | | 46 | 10 | | 47 | 9 | | 48 | 12 | | 49 | 43 |
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| 65.52% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.41379310344827586 | | totalSentences | 145 | | uniqueOpeners | 60 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 117 | | matches | | 0 | "Once, trains had screamed through" | | 1 | "Only a faint shimmer in" | | 2 | "Only the desperate calculation of" |
| | ratio | 0.026 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 117 | | matches | | 0 | "Her boots rang against the" | | 1 | "She had pried its twin" | | 2 | "She stepped under the tape," | | 3 | "His robes, once midnight blue," | | 4 | "She angled her torch." | | 5 | "Her gaze followed his gesture." | | 6 | "She had never seen its" | | 7 | "Her freckled cheeks were flushed," | | 8 | "Her voice carried the flat" | | 9 | "she gestured toward the shadowed" | | 10 | "She pointed at the compass" | | 11 | "She had never believed it." | | 12 | "She glanced at Reeves." | | 13 | "She did not like simple" | | 14 | "She crouched again, this time" | | 15 | "Its needle began to spin" | | 16 | "she said without turning" | | 17 | "Her voice dropped, scholarly but" | | 18 | "She hesitated, weighing how much" | | 19 | "She extended her hand." |
| | ratio | 0.248 | |
| 79.66% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 117 | | matches | | 0 | "Detective Harlow Quinn descended the" | | 1 | "Her boots rang against the" | | 2 | "The air changed as she" | | 3 | "The worn leather watch on" | | 4 | "The platform opened beneath her" | | 5 | "A single bone token—yellowed, carved" | | 6 | "She had pried its twin" | | 7 | "DS Reeves lifted the tape" | | 8 | "She stepped under the tape," | | 9 | "Reeves flipped open his notebook" | | 10 | "Quinn crouched beside the body." | | 11 | "The victim had fallen across" | | 12 | "His robes, once midnight blue," | | 13 | "She angled her torch." | | 14 | "The edges of the cut" | | 15 | "A faint sigil—three overlapping crescents—had" | | 16 | "Reeves shifted his weight." | | 17 | "Her gaze followed his gesture." | | 18 | "A small compass rested on" | | 19 | "The needle spun lazily, refusing" |
| | ratio | 0.761 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 117 | | matches | | 0 | "Now that scent was here," | | 1 | "Because the client had already" | | 2 | "Now the same elements circled" |
| | ratio | 0.026 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 8 | | matches | | 0 | "At five-foot-nine she had to angle her shoulders to clear a sagging grating, the salt-and-pepper crop of her hair brushing against cold concrete." | | 1 | "Shattered glass vials leaked liquids that shimmered violet even in the harsh white glare of the generator lamps her team had dragged down." | | 2 | "Reeves flipped open his notebook with the brisk efficiency of a man who preferred his murders ordinary." | | 3 | "A small compass rested on the silk, its casing mottled with verdigris, face etched with protective sigils that hurt to focus on directly." | | 4 | "The needle snapped northward for half a heartbeat, then swung hard left, aiming down a collapsed service tunnel that gaped like a missing tooth at the platform’…" | | 5 | "The shadows in the photographs, the way his watch had melted on his wrist, the scent of ozone that clung to his clothes—details she had buried under layers of p…" | | 6 | "For the first time she noticed a second set of footprints in the dust—smaller than the victim’s, boots with a distinctive tread pattern that matched none of her…" | | 7 | "Only the desperate calculation of someone who understood the stakes were larger than any arrest sheet." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "DS Reeves lifted, his face pale under the lights" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "Eva whispered (whisper)" |
| | dialogueSentences | 30 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.333 | | effectiveRatio | 0.133 | |