| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn stared back [back]" | | 1 | "He smiled sadly [sadly]" |
| | dialogueSentences | 64 | | tagDensity | 0.359 | | leniency | 0.719 | | rawRatio | 0.087 | | effectiveRatio | 0.063 | |
| 94.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1716 | | 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) | |
| 88.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1716 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "echoing" | | 3 | "charged" |
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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 | 182 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 182 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 222 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1704 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 71 | | wordCount | 1219 | | uniqueNames | 26 | | maxNameDensity | 2.05 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Tomás" | | discoveredNames | | Camden | 2 | | Lock | 2 | | Soho | 2 | | London | 3 | | Hendon | 1 | | Dean | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Silas | 1 | | Drake | 1 | | Tube | 1 | | Veil | 1 | | Market | 2 | | Quinn | 25 | | Spanish | 1 | | Tomás | 13 | | Saint | 1 | | Christopher | 1 | | Claw | 1 | | Morris | 4 | | King | 1 | | Cross | 1 | | Underground | 1 | | Scotland | 1 | | Yard | 1 |
| | persons | | 0 | "Lock" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Drake" | | 4 | "Quinn" | | 5 | "Tomás" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Claw" | | 9 | "Morris" | | 10 | "King" | | 11 | "Cross" |
| | places | | 0 | "Camden" | | 1 | "Soho" | | 2 | "London" | | 3 | "Dean" | | 4 | "Street" | | 5 | "Market" | | 6 | "Underground" | | 7 | "Scotland" |
| | globalScore | 0.475 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a human hand" |
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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 | 1704 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 222 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 94 | | mean | 18.13 | | std | 11.86 | | cv | 0.654 | | sampleLengths | | 0 | 18 | | 1 | 3 | | 2 | 33 | | 3 | 21 | | 4 | 12 | | 5 | 7 | | 6 | 36 | | 7 | 27 | | 8 | 10 | | 9 | 25 | | 10 | 30 | | 11 | 2 | | 12 | 28 | | 13 | 23 | | 14 | 45 | | 15 | 7 | | 16 | 9 | | 17 | 6 | | 18 | 18 | | 19 | 28 | | 20 | 19 | | 21 | 13 | | 22 | 12 | | 23 | 23 | | 24 | 42 | | 25 | 15 | | 26 | 7 | | 27 | 26 | | 28 | 7 | | 29 | 16 | | 30 | 49 | | 31 | 33 | | 32 | 22 | | 33 | 43 | | 34 | 37 | | 35 | 5 | | 36 | 44 | | 37 | 15 | | 38 | 24 | | 39 | 7 | | 40 | 5 | | 41 | 12 | | 42 | 26 | | 43 | 3 | | 44 | 21 | | 45 | 7 | | 46 | 25 | | 47 | 5 | | 48 | 29 | | 49 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 182 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 209 | | matches | (empty) | |
| 52.77% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 222 | | ratio | 0.032 | | matches | | 0 | "Eighteen years on the force, and the job still came down to this—running through London's backstreets like a constable fresh out of Hendon." | | 1 | "London had dozens—sealed platforms from lines that never opened or routes long abandoned." | | 2 | "Not a weapon in his hand—a small object, pale in the torch light." | | 3 | "Voices drifted through—haggling, laughter, the clink of glass." | | 4 | "Easy to spot—the only person running in a place where everyone else strolled." | | 5 | "Incense mixed with stranger smells—copper, ozone, something sweet and rotten." | | 6 | "\"Between. Trust me, you don't want to find out.\" He pulled something from his pocket—a small fragment of yellowed bone." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 894 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.030201342281879196 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007829977628635347 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 222 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 222 | | mean | 7.68 | | std | 4.7 | | cv | 0.612 | | sampleLengths | | 0 | 10 | | 1 | 8 | | 2 | 3 | | 3 | 7 | | 4 | 5 | | 5 | 9 | | 6 | 9 | | 7 | 3 | | 8 | 4 | | 9 | 11 | | 10 | 6 | | 11 | 12 | | 12 | 1 | | 13 | 6 | | 14 | 7 | | 15 | 6 | | 16 | 23 | | 17 | 7 | | 18 | 4 | | 19 | 10 | | 20 | 6 | | 21 | 10 | | 22 | 4 | | 23 | 5 | | 24 | 4 | | 25 | 7 | | 26 | 5 | | 27 | 5 | | 28 | 3 | | 29 | 14 | | 30 | 8 | | 31 | 2 | | 32 | 9 | | 33 | 3 | | 34 | 3 | | 35 | 2 | | 36 | 11 | | 37 | 8 | | 38 | 9 | | 39 | 6 | | 40 | 5 | | 41 | 5 | | 42 | 5 | | 43 | 8 | | 44 | 11 | | 45 | 4 | | 46 | 7 | | 47 | 3 | | 48 | 4 | | 49 | 9 |
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| 75.68% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.47297297297297297 | | totalSentences | 222 | | uniqueOpeners | 105 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 159 | | matches | | 0 | "Too much concrete between her" | | 1 | "More to come if she" | | 2 | "Just two more people appearing" |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 159 | | matches | | 0 | "Her radio crackled against her" | | 1 | "He slid across the bonnet," | | 2 | "she panted into the radio" | | 3 | "They burst onto Dean Street." | | 4 | "He stumbled down a service" | | 5 | "Her hand moved to her" | | 6 | "They'd found his body two" | | 7 | "He pressed it against a" | | 8 | "She'd heard rumours at the" | | 9 | "Her suspect pushed through the" | | 10 | "She could retreat." | | 11 | "His dark jacket stood out" | | 12 | "She closed the distance." | | 13 | "He released her arm" | | 14 | "He touched the Saint Christopher" | | 15 | "He bolted again, knocking over" | | 16 | "He pulled something from his" | | 17 | "They moved with the crowd," | | 18 | "It swung open at the" | | 19 | "They emerged in King's Cross" |
| | ratio | 0.157 | |
| 79.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 121 | | totalSentences | 159 | | matches | | 0 | "Harlow's boots slammed into puddles" | | 1 | "The figure ahead ducked between" | | 2 | "The suspect vaulted over a" | | 3 | "Male, six feet, dark jacket." | | 4 | "Quinn followed, her leather watch" | | 5 | "The strap held." | | 6 | "Neon signs blurred past." | | 7 | "Kebab shops, late-night grocers, the" | | 8 | "Her radio crackled against her" | | 9 | "The suspect cut left into" | | 10 | "Quinn's shoes skidded on wet" | | 11 | "A delivery van blocked the" | | 12 | "The suspect didn't slow." | | 13 | "He slid across the bonnet," | | 14 | "Quinn took the long way" | | 15 | "she panted into the radio" | | 16 | "The man glanced back." | | 17 | "Terror in his eyes." | | 18 | "Something else drove him forward." | | 19 | "They burst onto Dean Street." |
| | ratio | 0.761 | |
| 31.45% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 159 | | matches | | 0 | "Now his daughter grew up" |
| | ratio | 0.006 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "Market stalls filled a cavernous space that shouldn't exist beneath central London." | | 1 | "The crowd moved between stalls selling herbs in glass jars, leather-bound books, objects that gleamed with their own light." | | 2 | "Whispers about an underground bazaar that moved locations, where things that shouldn't exist changed hands." | | 3 | "Now his daughter grew up without a father, his wife remarried to someone who'd never understand why her first husband's body came back torn by claws that should…" | | 4 | "A graduation gift from her father, an old-fashioned copper who'd insisted on leather and steel." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "she panted (pant)" | | 1 | "Tomás explained (explain)" |
| | dialogueSentences | 64 | | tagDensity | 0.094 | | leniency | 0.188 | | rawRatio | 0.333 | | effectiveRatio | 0.063 | |