| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1129 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 15.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1129 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "mechanical" | | 1 | "pulse" | | 2 | "pounding" | | 3 | "treacherous" | | 4 | "echoing" | | 5 | "resonated" | | 6 | "depths" | | 7 | "pulsed" | | 8 | "echo" | | 9 | "resolve" | | 10 | "warmth" | | 11 | "navigated" | | 12 | "velvet" | | 13 | "chaotic" | | 14 | "scanned" | | 15 | "rhythmic" | | 16 | "intensity" | | 17 | "shimmered" | | 18 | "weight" |
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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 | 82 | | matches | (empty) | |
| 73.17% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1125 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1125 | | uniqueNames | 19 | | maxNameDensity | 0.71 | | worstName | "Harlow" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Harlow" | | discoveredNames | | Soho | 1 | | Harlow | 8 | | Quinn | 1 | | Camden | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 8 | | Tube | 1 | | Tommy | 1 | | Veil | 2 | | Market | 2 | | Detective | 3 | | Nest | 1 | | Morris | 1 | | Metropolitan | 1 | | Police | 1 | | London | 1 | | Underground | 1 | | You | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Herrera" | | 5 | "Tommy" | | 6 | "Market" | | 7 | "Morris" | | 8 | "You" |
| | places | | 0 | "Soho" | | 1 | "Camden" | | 2 | "Nest" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 3 | | matches | | 0 | "tasted like copper and old memories, a ph" | | 1 | "sounded like a ticking clock" | | 2 | "ndoned station seemingly watching her progre" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.889 | | wordCount | 1125 | | matches | | 0 | "Not just a dead zone, but a total blackout of signals" |
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| 85.37% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 82 | | matches | | 0 | "think that scrap" | | 1 | "crossed that threshold" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 45 | | std | 23.77 | | cv | 0.528 | | sampleLengths | | 0 | 81 | | 1 | 60 | | 2 | 6 | | 3 | 78 | | 4 | 14 | | 5 | 61 | | 6 | 52 | | 7 | 14 | | 8 | 33 | | 9 | 52 | | 10 | 73 | | 11 | 68 | | 12 | 42 | | 13 | 5 | | 14 | 73 | | 15 | 44 | | 16 | 41 | | 17 | 17 | | 18 | 14 | | 19 | 49 | | 20 | 66 | | 21 | 57 | | 22 | 67 | | 23 | 45 | | 24 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 178 | | matches | | |
| 3.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 82 | | ratio | 0.049 | | matches | | 0 | "She saw the flash of silver at his throat—a Saint Christopher medallion—as he ducked behind a dumpster." | | 1 | "The darkness didn't just loom; it pulsed, rhythmically contracting." | | 2 | "There was only the market—the smell of old parchment, the hum of magic, and the quiet desperation of those who had nowhere else to turn." | | 3 | "The realization hit her like a physical blow—the ease of the chase, the distinct lack of true evasion." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1136 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.02112676056338028 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007042253521126761 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 13.72 | | std | 7.31 | | cv | 0.533 | | sampleLengths | | 0 | 13 | | 1 | 17 | | 2 | 28 | | 3 | 3 | | 4 | 20 | | 5 | 12 | | 6 | 12 | | 7 | 19 | | 8 | 17 | | 9 | 2 | | 10 | 4 | | 11 | 16 | | 12 | 13 | | 13 | 13 | | 14 | 20 | | 15 | 16 | | 16 | 14 | | 17 | 14 | | 18 | 29 | | 19 | 18 | | 20 | 11 | | 21 | 11 | | 22 | 16 | | 23 | 14 | | 24 | 4 | | 25 | 10 | | 26 | 11 | | 27 | 9 | | 28 | 13 | | 29 | 13 | | 30 | 20 | | 31 | 19 | | 32 | 11 | | 33 | 30 | | 34 | 5 | | 35 | 9 | | 36 | 18 | | 37 | 15 | | 38 | 7 | | 39 | 4 | | 40 | 15 | | 41 | 27 | | 42 | 14 | | 43 | 16 | | 44 | 12 | | 45 | 5 | | 46 | 4 | | 47 | 23 | | 48 | 15 | | 49 | 9 |
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| 57.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3902439024390244 | | totalSentences | 82 | | uniqueOpeners | 32 | |
| 42.19% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 79 | | matches | | | ratio | 0.013 | |
| 52.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 79 | | matches | | 0 | "She clutched the lapels of" | | 1 | "He possessed an unnatural fluidity," | | 2 | "She saw the flash of" | | 3 | "She vaulted the same obstacle," | | 4 | "She drew her service weapon," | | 5 | "He didn't look back, his" | | 6 | "You think that scrap of" | | 7 | "He pulled a polished bone" | | 8 | "They were a roadmap for" | | 9 | "She stepped forward, the hammer" | | 10 | "We need to talk about" | | 11 | "I don't think you understand" | | 12 | "You want answers about what" | | 13 | "He pressed the token against" | | 14 | "She stared into the void." | | 15 | "She knew the risks of" | | 16 | "She holstered the weapon, her" | | 17 | "She didn't come this far" | | 18 | "She slipped into the darkness." | | 19 | "She navigated the stairs, her" |
| | ratio | 0.418 | |
| 42.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 79 | | matches | | 0 | "Rain lashed against the asphalt," | | 1 | "Detective Harlow Quinn’s boots hammered" | | 2 | "Harlow didn't pause." | | 3 | "She clutched the lapels of" | | 4 | "The suspect surged forward, leaping" | | 5 | "He possessed an unnatural fluidity," | | 6 | "Harlow tapped the leather watch" | | 7 | "She saw the flash of" | | 8 | "She vaulted the same obstacle," | | 9 | "She drew her service weapon," | | 10 | "The alleyway narrowed, pinched by" | | 11 | "Herrera skidded to a halt" | | 12 | "He didn't look back, his" | | 13 | "You think that scrap of" | | 14 | "Herrera turned, his face pale" | | 15 | "Blood seeped from a jagged" | | 16 | "He pulled a polished bone" | | 17 | "Harlow didn't need a forensic" | | 18 | "The rumors about the Veil" | | 19 | "They were a roadmap for" |
| | ratio | 0.835 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 79 | | matches | | 0 | "If she crossed that threshold," | | 1 | "If the monster lived in" | | 2 | "Before this place decides to" |
| | ratio | 0.038 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 12 | | matches | | 0 | "Up ahead, the silhouette in the heavy wool coat darted around the corner of a rusted scaffolding, vanishing into the maze of back alleys that snaked toward Camd…" | | 1 | "He possessed an unnatural fluidity, a grace that defied the treacherous footing." | | 2 | "Herrera skidded to a halt in front of a boarded-up entryway that marked the entrance to the abandoned Tube station." | | 3 | "Blood seeped from a jagged tear in his sleeve, soaking his bandage, but his expression remained defiant, his warm brown eyes darting toward the darkness of the …" | | 4 | "The air emanating from the depths tasted like copper and old memories, a phantom scent that clawed at the back of her throat, reminding her of the night Morris …" | | 5 | "If she crossed that threshold, she entered a space governed by laws that ignored the Metropolitan Police handbook." | | 6 | "The biting cold of the London rain vanished, replaced by a humid, sulfurous warmth that clung to her clothes like a second skin." | | 7 | "Glass jars containing flickering, trapped lightning sat beside stacks of books bound in skin that moved when touched." | | 8 | "Figures cloaked in shadows moved between booths, their voices a low, discordant hum that sounded less like language and more like the shifting of tectonic plate…" | | 9 | "He looked at the shadows, then back at Harlow, who lingered on the periphery of a clearing, her gaze sweeping the chaotic, illicit bazaar." | | 10 | "You brought a badge to a place that eats authority for breakfast, Detective." | | 11 | "She was alone in the belly of the city with a man who knew exactly what happened to her partner, surrounded by strangers who would gladly watch her lose a limb …" |
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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 | |