| 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 | 1181 | | 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) | |
| 15.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1181 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "measured" | | 2 | "scanning" | | 3 | "intensity" | | 4 | "weight" | | 5 | "familiar" | | 6 | "constructed" | | 7 | "glinting" | | 8 | "oppressive" | | 9 | "silence" | | 10 | "pulsed" | | 11 | "predator" | | 12 | "footsteps" | | 13 | "echoed" | | 14 | "lilt" |
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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 | 75 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | 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 | 1176 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1176 | | uniqueNames | 18 | | maxNameDensity | 0.51 | | worstName | "Herrera" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 5 | | Herrera | 6 | | Raven | 1 | | Nest | 1 | | London | 1 | | Veil | 2 | | Market | 1 | | Morris | 2 | | Tube | 1 | | Metropolitan | 1 | | Police | 1 | | Saint | 1 | | Christopher | 1 | | Newtonian | 1 | | Spanish | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Raven" | | 4 | "Veil" | | 5 | "Market" | | 6 | "Morris" | | 7 | "Saint" | | 8 | "Christopher" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 29.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 3 | | matches | | 0 | "as if feeling for a pressure point" | | 1 | "quite bring herself to name" | | 2 | "felt like packed earth" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.85 | | wordCount | 1176 | | matches | | 0 | "not the usual London rot of damp limestone and ozone, but something cloying, like ozone mixed with burnt lavender" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 57.43% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 61.89 | | std | 21.73 | | cv | 0.351 | | sampleLengths | | 0 | 94 | | 1 | 45 | | 2 | 71 | | 3 | 69 | | 4 | 74 | | 5 | 95 | | 6 | 63 | | 7 | 83 | | 8 | 62 | | 9 | 71 | | 10 | 49 | | 11 | 65 | | 12 | 56 | | 13 | 45 | | 14 | 52 | | 15 | 19 | | 16 | 34 | | 17 | 29 | | 18 | 100 |
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| 91.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 75 | | matches | | 0 | "being hunted" | | 1 | "been reclaimed" | | 2 | "been closed" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 188 | | matches | | 0 | "was leaving" | | 1 | "was entering" | | 2 | "was diving" | | 3 | "was waiting" | | 4 | "was chasing" | | 5 | "wasn't coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 2 | | flaggedSentences | 7 | | totalSentences | 75 | | ratio | 0.093 | | matches | | 0 | "She knew the gait—a slight hitch in the left leg that spoke of old injuries, a jittery energy that didn't belong to a man taking a casual evening stroll." | | 1 | "He glanced back, his face momentarily illuminated by the sickly glow—olive skin tight against his cheekbones, eyes scanning the darkness with the practiced intensity of a man who knew he was being hunted." | | 2 | "The smell hit her first—not the usual London rot of damp limestone and ozone, but something cloying, like ozone mixed with burnt lavender and ancient dust." | | 3 | "She looked at her watch—the face was blank, the hands spinning aimlessly." | | 4 | "She wouldn't be a detective anymore; she would be a trespasser." | | 5 | "He was waiting for her—or leading her into a trap." | | 6 | "She was no longer pursuing a suspect; she was chasing the ghost of her own career, willing to let the world of the living vanish if it meant finally seeing the darkness eye to eye." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1191 | | adjectiveStacks | 3 | | stackExamples | | 0 | "cold, hard, verifiable reality." | | 1 | "half-warning, half-invitation." | | 2 | "cold, razor-edged clarity." |
| | adverbCount | 28 | | adverbRatio | 0.023509655751469353 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.011754827875734676 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 15.68 | | std | 9.08 | | cv | 0.579 | | sampleLengths | | 0 | 28 | | 1 | 18 | | 2 | 19 | | 3 | 29 | | 4 | 2 | | 5 | 32 | | 6 | 10 | | 7 | 1 | | 8 | 13 | | 9 | 33 | | 10 | 5 | | 11 | 20 | | 12 | 23 | | 13 | 20 | | 14 | 26 | | 15 | 9 | | 16 | 26 | | 17 | 8 | | 18 | 31 | | 19 | 9 | | 20 | 10 | | 21 | 16 | | 22 | 13 | | 23 | 19 | | 24 | 15 | | 25 | 13 | | 26 | 22 | | 27 | 15 | | 28 | 11 | | 29 | 15 | | 30 | 7 | | 31 | 4 | | 32 | 15 | | 33 | 20 | | 34 | 16 | | 35 | 21 | | 36 | 17 | | 37 | 4 | | 38 | 3 | | 39 | 15 | | 40 | 23 | | 41 | 5 | | 42 | 17 | | 43 | 12 | | 44 | 37 | | 45 | 36 | | 46 | 13 | | 47 | 5 | | 48 | 24 | | 49 | 10 |
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| 32.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.3333333333333333 | | totalSentences | 75 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 73 | | matches | | 0 | "She maintained a measured distance," | | 1 | "She knew the gait—a slight" | | 2 | "She checked the worn leather" | | 3 | "He glanced back, his face" | | 4 | "He didn’t enter the bar." | | 5 | "He skirted the side of" | | 6 | "She sprinted, her boots silent" | | 7 | "It was the scent of" | | 8 | "She had heard rumors of" | | 9 | "She pulled her sidearm, the" | | 10 | "She descended the ladder, the" | | 11 | "She was in a deep," | | 12 | "She tracked the movement of" | | 13 | "He was moving toward a" | | 14 | "He stopped one of the" | | 15 | "He produced a bone token," | | 16 | "She knew the risks." | | 17 | "She was a woman of" | | 18 | "She was entering a territory" | | 19 | "He didn't look afraid." |
| | ratio | 0.603 | |
| 21.64% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 73 | | matches | | 0 | "The rain in Soho was" | | 1 | "Detective Harlow Quinn kept her" | | 2 | "She maintained a measured distance," | | 3 | "She knew the gait—a slight" | | 4 | "The name had been a" | | 5 | "She checked the worn leather" | | 6 | "Herrera stopped abruptly beneath the" | | 7 | "He glanced back, his face" | | 8 | "He didn’t enter the bar." | | 9 | "He skirted the side of" | | 10 | "Quinn slipped into the shadow" | | 11 | "She sprinted, her boots silent" | | 12 | "A metal grate lay open," | | 13 | "The smell hit her first—not" | | 14 | "It was the scent of" | | 15 | "She had heard rumors of" | | 16 | "She pulled her sidearm, the" | | 17 | "She descended the ladder, the" | | 18 | "The air grew progressively warmer," | | 19 | "She was in a deep," |
| | ratio | 0.877 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 73 | | matches | | 0 | "By the time she reached" | | 1 | "If she stepped past that" | | 2 | "If she followed him, she" |
| | ratio | 0.041 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 12 | | matches | | 0 | "The rain in Soho was a cold, rhythmic percussion against the pavement, a steady hum that did little to drown out the click of heels on wet concrete." | | 1 | "She knew the gait—a slight hitch in the left leg that spoke of old injuries, a jittery energy that didn't belong to a man taking a casual evening stroll." | | 2 | "He glanced back, his face momentarily illuminated by the sickly glow—olive skin tight against his cheekbones, eyes scanning the darkness with the practiced inte…" | | 3 | "He skirted the side of the building, his hand brushing against the brickwork as if feeling for a pressure point." | | 4 | "She sprinted, her boots silent on the slick asphalt, moving with the military precision that had defined her eighteen-year career." | | 5 | "The air grew progressively warmer, thick with a hum of low-frequency vibration that rattled her teeth." | | 6 | "She was in a deep, vaulted space: an abandoned Tube station that had been reclaimed by something else entirely." | | 7 | "She was entering a territory where death was a fluid concept, the kind of place that had swallowed her partner whole." | | 8 | "He pointed toward a dark tunnel leading further down, a gesture that was half-warning, half-invitation." | | 9 | "She thought of Morris, of the way his case had been closed with a hollow explanation about a missing persons report, a file shredded by superiors who were clear…" | | 10 | "If she followed him, she was diving headfirst into an abyss that defied the Newtonian physics she relied on." | | 11 | "She looked at him, her sharp jaw set, her brown eyes scanning the darkness beyond his shoulder for reinforcements, for shadows, for the truth that had taken her…" |
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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 | |