| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva climbed back [back]" | | 1 | "Quinn turned back [back]" |
| | dialogueSentences | 59 | | tagDensity | 0.373 | | leniency | 0.746 | | rawRatio | 0.091 | | effectiveRatio | 0.068 | |
| 95.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2069 | | 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) | |
| 78.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2069 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "etched" | | 1 | "aligned" | | 2 | "mechanical" | | 3 | "standard" | | 4 | "trembled" | | 5 | "stomach" | | 6 | "traced" | | 7 | "unwavering" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 100 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 136 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2079 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1323 | | uniqueNames | 14 | | maxNameDensity | 1.89 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 25 | | John | 1 | | Doe | 1 | | Camden | 1 | | Northern | 1 | | Line | 1 | | Kowalski | 1 | | Eva | 17 | | Hargreaves | 1 | | Latin | 1 | | Two | 2 | | London | 1 | | Tube | 1 | | Unwavering | 1 |
| | persons | | 0 | "Quinn" | | 1 | "John" | | 2 | "Doe" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Two" |
| | places | | | globalScore | 0.555 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared undisturbed padlocked, dusty, their goods packed away" |
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| 55.70% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.443 | | wordCount | 2079 | | matches | | 0 | "not a human face, but the face of a compass" | | 1 | "not the direction of the entrance, not the direction of the stalls, but deeper into the disused network" | | 2 | "not the direction of the stalls, but deeper into the disused network" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 136 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 35.84 | | std | 26.08 | | cv | 0.728 | | sampleLengths | | 0 | 80 | | 1 | 91 | | 2 | 2 | | 3 | 56 | | 4 | 15 | | 5 | 42 | | 6 | 70 | | 7 | 8 | | 8 | 34 | | 9 | 27 | | 10 | 19 | | 11 | 37 | | 12 | 62 | | 13 | 91 | | 14 | 46 | | 15 | 3 | | 16 | 22 | | 17 | 43 | | 18 | 5 | | 19 | 17 | | 20 | 59 | | 21 | 10 | | 22 | 33 | | 23 | 3 | | 24 | 2 | | 25 | 41 | | 26 | 4 | | 27 | 43 | | 28 | 23 | | 29 | 35 | | 30 | 68 | | 31 | 34 | | 32 | 74 | | 33 | 9 | | 34 | 6 | | 35 | 10 | | 36 | 58 | | 37 | 7 | | 38 | 2 | | 39 | 61 | | 40 | 59 | | 41 | 41 | | 42 | 8 | | 43 | 54 | | 44 | 10 | | 45 | 77 | | 46 | 55 | | 47 | 11 | | 48 | 27 | | 49 | 23 |
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| 94.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 100 | | matches | | 0 | "been struck" | | 1 | "been thrown" | | 2 | "was found" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 215 | | matches | | 0 | "was looking" | | 1 | "was flipping" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 136 | | ratio | 0.059 | | matches | | 0 | "She'd taken it off the body upstairs — a John Doe sprawled in a Camden alleyway with no wallet, no phone, and a face so unremarkable the CCTV operators would probably lose him in a crowd of two." | | 1 | "The tile work was original — cream and oxblood diamonds, cracked but intact — and someone had strung fairy lights along the tunnel ceiling in long, swooping arcs." | | 2 | "The stalls on the left appeared undisturbed — padlocked, dusty, their goods packed away." | | 3 | "Not broken glass — intact vials, a dozen of them, scattered like spent cartridge casings." | | 4 | "Someone standing where a customer would stand had swung at something — or been thrown against it." | | 5 | "Even from this distance, she could see the green patina of verdigris creeping across its surface, and the delicate lines etched into what appeared to be a face — not a human face, but the face of a compass." | | 6 | "The needle trembled, then swung in a slow arc toward the tunnel behind them — not the direction of the entrance, not the direction of the stalls, but deeper into the disused network." | | 7 | "She had five minutes to stand in this impossible place and think about the needle pointing into darkness, about a partner she lost three years ago in a case that smelled exactly like this one — copper and something sweet going rotten — and about the fact that for the first time in three years, she had a piece of evidence that didn't just suggest the impossible." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1316 | | adjectiveStacks | 1 | | stackExamples | | 0 | "undisturbed — padlocked, dusty, their" |
| | adverbCount | 48 | | adverbRatio | 0.0364741641337386 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.009878419452887538 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 136 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 136 | | mean | 15.29 | | std | 11.1 | | cv | 0.726 | | sampleLengths | | 0 | 8 | | 1 | 13 | | 2 | 38 | | 3 | 21 | | 4 | 19 | | 5 | 28 | | 6 | 19 | | 7 | 11 | | 8 | 6 | | 9 | 8 | | 10 | 2 | | 11 | 5 | | 12 | 4 | | 13 | 33 | | 14 | 14 | | 15 | 15 | | 16 | 22 | | 17 | 20 | | 18 | 12 | | 19 | 5 | | 20 | 19 | | 21 | 28 | | 22 | 6 | | 23 | 8 | | 24 | 17 | | 25 | 14 | | 26 | 3 | | 27 | 6 | | 28 | 16 | | 29 | 5 | | 30 | 12 | | 31 | 7 | | 32 | 16 | | 33 | 18 | | 34 | 3 | | 35 | 36 | | 36 | 26 | | 37 | 3 | | 38 | 22 | | 39 | 10 | | 40 | 14 | | 41 | 11 | | 42 | 12 | | 43 | 19 | | 44 | 2 | | 45 | 4 | | 46 | 15 | | 47 | 25 | | 48 | 3 | | 49 | 14 |
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| 77.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.4632352941176471 | | totalSentences | 136 | | uniqueOpeners | 63 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 94 | | matches | | 0 | "Too light for its size," | | 1 | "Of course she was." |
| | ratio | 0.021 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 94 | | matches | | 0 | "She'd taken it off the" | | 1 | "Her round glasses caught the" | | 2 | "She'd deal with Hargreaves later." | | 3 | "She pulled a pair of" | | 4 | "She scrambled up from the" | | 5 | "She flipped through pages dense" | | 6 | "She was already walking the" | | 7 | "Its awning hung crooked, one" | | 8 | "She knelt beside Quinn and" | | 9 | "She stood and followed the" | | 10 | "Her lips moved silently, and" | | 11 | "She reached the end of" | | 12 | "She'd never seen markings quite" | | 13 | "They looked deliberate, almost architectural" | | 14 | "She picked up the brass" | | 15 | "It settled and held steady" | | 16 | "It fit the outline precisely." | | 17 | "She walked to where the" | | 18 | "She followed the outbound tracks" | | 19 | "She traced the trail with" |
| | ratio | 0.277 | |
| 34.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 94 | | matches | | 0 | "The bone token felt wrong" | | 1 | "She'd taken it off the" | | 2 | "Quinn ducked under the service" | | 3 | "The tile work was original" | | 4 | "The air smelled of copper" | | 5 | "Eva Kowalski was already there." | | 6 | "The young woman sat cross-legged" | | 7 | "Her round glasses caught the" | | 8 | "Quinn stepped over a gutter" | | 9 | "Eva tucked a curl of" | | 10 | "Quinn let the name sit" | | 11 | "She'd deal with Hargreaves later." | | 12 | "The man had a habit" | | 13 | "She pulled a pair of" | | 14 | "Quinn held up the bone" | | 15 | "Eva's eyes widened behind her" | | 16 | "She scrambled up from the" | | 17 | "Quinn turned the token slowly" | | 18 | "Eva reached for the satchel" | | 19 | "She flipped through pages dense" |
| | ratio | 0.851 | |
| 53.19% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 94 | | matches | | 0 | "Even from this distance, she" |
| | ratio | 0.011 | |
| 38.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 7 | | matches | | 0 | "What the man did have was this token and a one-way ticket to somewhere underneath the Northern Line that shouldn't exist." | | 1 | "She pulled a pair of nitrile gloves from her coat pocket and snapped them on with the practiced efficiency of someone who'd done it ten thousand times before." | | 2 | "She was already walking the platform, her gaze sweeping the shuttered stalls with the same mechanical thoroughness she applied to any scene." | | 3 | "The market's vendors would be scattering by now, assuming they hadn't already dissolved into whatever corners of London absorbed people who sold things in aband…" | | 4 | "Eva peered over the platform edge, clearly unconvinced, then lowered herself down with the graceless determination of someone who spent more time in archives th…" | | 5 | "She looked at the fairy lights strung along the tunnel ceiling, at the shuttered stalls of a market that would relocate with the next full moon and leave nothin…" | | 6 | "She had five minutes to stand in this impossible place and think about the needle pointing into darkness, about a partner she lost three years ago in a case tha…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.017 | | leniency | 0.034 | | rawRatio | 0 | | effectiveRatio | 0 | |