| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 94.09% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1692 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "suddenly" | | 1 | "deliberately" |
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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) | |
| 70.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1692 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "fractured" | | 2 | "fluttered" | | 3 | "footsteps" | | 4 | "flickered" | | 5 | "eyebrow" | | 6 | "silence" |
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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 | 116 | | matches | (empty) | |
| 68.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 6 | | hedgeCount | 0 | | narrationSentences | 116 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1679 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 1676 | | uniqueNames | 26 | | maxNameDensity | 0.54 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 9 | | Frith | 1 | | Street | 1 | | Tomás | 2 | | Herrera | 9 | | Raven | 2 | | Nest | 2 | | Shaftesbury | 1 | | Avenue | 1 | | Charing | 1 | | Cross | 1 | | Road | 2 | | Morris | 6 | | Tottenham | 1 | | Court | 1 | | Tube | 2 | | Veil | 2 | | Market | 2 | | Saint | 1 | | Christopher | 1 | | Camden | 2 | | Vasil | 1 | | One | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Raven" | | 5 | "Morris" | | 6 | "Tube" | | 7 | "Market" | | 8 | "Saint" | | 9 | "Christopher" | | 10 | "Camden" | | 11 | "One" |
| | places | | 0 | "London" | | 1 | "Frith" | | 2 | "Street" | | 3 | "Shaftesbury" | | 4 | "Avenue" | | 5 | "Charing" | | 6 | "Cross" | | 7 | "Road" | | 8 | "Tottenham" | | 9 | "Court" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 100 | | glossingSentenceCount | 1 | | matches | | 0 | "something like this and never walked out aga" |
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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 | 1679 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 99.47% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 69.96 | | std | 34.85 | | cv | 0.498 | | sampleLengths | | 0 | 88 | | 1 | 100 | | 2 | 3 | | 3 | 102 | | 4 | 98 | | 5 | 96 | | 6 | 85 | | 7 | 78 | | 8 | 81 | | 9 | 3 | | 10 | 86 | | 11 | 83 | | 12 | 100 | | 13 | 5 | | 14 | 89 | | 15 | 9 | | 16 | 108 | | 17 | 73 | | 18 | 74 | | 19 | 8 | | 20 | 95 | | 21 | 82 | | 22 | 79 | | 23 | 54 |
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| 96.19% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 116 | | matches | | 0 | "was carved" | | 1 | "was underdressed" | | 2 | "were chipped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 277 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 5 | | flaggedSentences | 14 | | totalSentences | 117 | | ratio | 0.12 | | matches | | 0 | "A taxi blared as Herrera darted across Shaftesbury Avenue between two double-deckers; Quinn posted from a bollard and launched after him, the grille climbing past so close she felt the hot wash of its exhaust and the slap of tyre spray across her cheek." | | 1 | "The supernaturals—whatever the hell that word still meant for her—had thrived in the gaps she could not yet map." | | 2 | "He vaulted them; Quinn followed, boot sole skidding, knee glancing brick with a white bolt of pain she folded away without sound." | | 3 | "Her reflections fractured and reformed in shop windows—salting, hard-eyed woman with short hair plastered flat, leather watch face catching the sodium glow every other stride." | | 4 | "Instead he angled toward a blighted side street of plywood boards and faded health notices, where the smell of the river rose even through the rain—metal, damp stone, forgotten machinery." | | 5 | "Her left calf screamed; she ignored it." | | 6 | "One moment the dark shape of him cresting a low retaining wall; the next only empty rain slanting into weeds." | | 7 | "Her watch ticked against her wrist—two a.m." | | 8 | "Bone-white disk of something lay half-crushed in the mud just inside the threshold—round, carved, the unmistakable residue of a token deliberately discarded or half-swallowed by the rain." | | 9 | "Water and rust and something sweeter—myrrh, she thought, or blood soap—thickened the air." | | 10 | "Electricity hummed through hacked wiring; emergency lights the colour of old bones glowed every dozen steps, revealing graffiti in languages she could not name." | | 11 | "People—or shapes that wore people well enough—moved between stalls, boots whispering, eyes reflecting wrong wavelengths." | | 12 | "Behind her the stairs climbed back to the ordinary world of rain and sirens and paperwork—safe, finite, incomplete." | | 13 | "Not panic—calculation again." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1704 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 60 | | adverbRatio | 0.035211267605633804 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.008802816901408451 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 14.35 | | std | 8.68 | | cv | 0.605 | | sampleLengths | | 0 | 30 | | 1 | 31 | | 2 | 27 | | 3 | 6 | | 4 | 31 | | 5 | 23 | | 6 | 21 | | 7 | 19 | | 8 | 3 | | 9 | 13 | | 10 | 4 | | 11 | 5 | | 12 | 7 | | 13 | 15 | | 14 | 3 | | 15 | 11 | | 16 | 44 | | 17 | 9 | | 18 | 36 | | 19 | 4 | | 20 | 15 | | 21 | 19 | | 22 | 15 | | 23 | 14 | | 24 | 5 | | 25 | 22 | | 26 | 7 | | 27 | 16 | | 28 | 32 | | 29 | 6 | | 30 | 5 | | 31 | 25 | | 32 | 27 | | 33 | 14 | | 34 | 6 | | 35 | 2 | | 36 | 13 | | 37 | 7 | | 38 | 25 | | 39 | 16 | | 40 | 7 | | 41 | 7 | | 42 | 3 | | 43 | 28 | | 44 | 30 | | 45 | 7 | | 46 | 16 | | 47 | 3 | | 48 | 20 | | 49 | 26 |
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| 74.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4700854700854701 | | totalSentences | 117 | | uniqueOpeners | 55 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 115 | | matches | | 0 | "Of course he did not." | | 1 | "Instead he angled toward a" | | 2 | "Then he vanished." | | 3 | "Somewhere a robotically clear voice" | | 4 | "Then a bald man whose" | | 5 | "Somewhere beyond, footsteps retreating with" |
| | ratio | 0.052 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 115 | | matches | | 0 | "She had only wanted a" | | 1 | "She had watched him leave" | | 2 | "He had checked both ways" | | 3 | "Her voice cracked off wet" | | 4 | "He did not stop." | | 5 | "She lengthened her stride, body" | | 6 | "She gained half a pace" | | 7 | "He vaulted them; Quinn followed," | | 8 | "Her breath came controlled, counted," | | 9 | "He was fitter than he" | | 10 | "She had no warrant, no" | | 11 | "She would answer for it" | | 12 | "Her reflections fractured and reformed" | | 13 | "He knew the city as" | | 14 | "He hoped the weather would" | | 15 | "It would not." | | 16 | "They pounded past locked grocery" | | 17 | "Her left calf screamed; she" | | 18 | "He was already inside and" | | 19 | "She planted a boot on" |
| | ratio | 0.296 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 115 | | matches | | 0 | "The rain hammered London like" | | 1 | "Streetlights smeared into oily halos" | | 2 | "She had only wanted a" | | 3 | "That was the lie she" | | 4 | "She had watched him leave" | | 5 | "He had checked both ways" | | 6 | "Her voice cracked off wet" | | 7 | "He did not stop." | | 8 | "Men with something to hide" | | 9 | "She lengthened her stride, body" | | 10 | "The city blurred." | | 11 | "Pedestrians recoiled in sudden white" | | 12 | "A taxi blared as Herrera" | | 13 | "She gained half a pace" | | 14 | "The supernaturals—whatever the hell that" | | 15 | "Tonight she meant to close" | | 16 | "Herrera cut right into a" | | 17 | "He vaulted them; Quinn followed," | | 18 | "Water poured from downspouts in" | | 19 | "Her breath came controlled, counted," |
| | ratio | 0.696 | |
| 86.96% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 115 | | matches | | 0 | "Now he was running, and" | | 1 | "Now the map itself would" |
| | ratio | 0.017 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 72 | | technicalSentenceCount | 6 | | matches | | 0 | "Streetlights smeared into oily halos on the flooded pavement as she cut hard around a corner onto Frith Street, boots slamming through black water that reeked o…" | | 1 | "Up ahead the alley spat them out onto a quieter stretch of Tottenham Court Road that felt suddenly emptier, rain hissing on deserted bus stops, the city’s pulse…" | | 2 | "Soft hands that once saved lives and now, she suspected, stitched something darker after hours for the same circle that floated around the Raven’s Nest." | | 3 | "Concrete stairs descended in a wet spiral that made every sound concave." | | 4 | "Somewhere a robotically clear voice traded weather reports for something that hissed in reply." | | 5 | "The clown socks of adrenaline that had carried her here thinned into something colder and more deliberate." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |