| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1227 | | totalAiIsmAdverbs | 1 | | 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) | |
| 14.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1227 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "flicker" | | 2 | "tension" | | 3 | "weight" | | 4 | "gloom" | | 5 | "electric" | | 6 | "pulse" | | 7 | "measured" | | 8 | "pulsed" | | 9 | "structure" | | 10 | "cacophony" | | 11 | "vibrated" | | 12 | "flickered" | | 13 | "sanctuary" | | 14 | "predator" | | 15 | "calculated" | | 16 | "steeled" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 75 | | matches | | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1218 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1044 | | uniqueNames | 13 | | maxNameDensity | 0.96 | | worstName | "Herrera" | | maxWindowNameDensity | 2 | | worstWindowName | "Herrera" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Harlow | 1 | | Quinn | 9 | | Silas | 1 | | Tomás | 1 | | Herrera | 10 | | Saint | 1 | | Christopher | 1 | | Morris | 2 | | Veil | 1 | | Market | 1 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Silas" | | 4 | "Tomás" | | 5 | "Herrera" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 70.63% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 2 | | matches | | 0 | "iron that seemed to warp the light around them" | | 1 | "looked like wet parchment, its eyes wide" |
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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 | 1218 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 81 | | matches | | |
| 78.11% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 55.36 | | std | 23.44 | | cv | 0.423 | | sampleLengths | | 0 | 89 | | 1 | 60 | | 2 | 98 | | 3 | 21 | | 4 | 29 | | 5 | 57 | | 6 | 80 | | 7 | 83 | | 8 | 39 | | 9 | 94 | | 10 | 28 | | 11 | 61 | | 12 | 53 | | 13 | 51 | | 14 | 64 | | 15 | 30 | | 16 | 42 | | 17 | 16 | | 18 | 46 | | 19 | 61 | | 20 | 77 | | 21 | 39 |
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| 86.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 75 | | matches | | 0 | "was rattled" | | 1 | "been abandoned" | | 2 | "was cornered" | | 3 | "been dragged" |
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| 78.79% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 165 | | matches | | 0 | "wasn't surrendering" | | 1 | "was clutching" | | 2 | "were stretching" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 4 | | flaggedSentences | 9 | | totalSentences | 81 | | ratio | 0.111 | | matches | | 0 | "The rain in Soho did not wash the city clean; it merely turned the grime into a slick, reflective oil that smeared the neon lights of the Raven’s Nest across the pavement." | | 1 | "Tomcat—Tomás Herrera." | | 2 | "She didn't sprint; she hunted." | | 3 | "He didn't use a key; he pressed a small, white sliver of something—a bone token, if her informants were right—into a recessed slot in the wall." | | 4 | "It was a sensation she had learned to dread—the same electric hum that had permeated the air the night Morris vanished." | | 5 | "But the air did moan—a low, rhythmic frequency that vibrated in her teeth." | | 6 | "She looked at Herrera, at the genuine, human terror in his brown eyes, and then at her own hand—at the watch, the tool of time and order." | | 7 | "She realized then that the market wasn't just a place of commerce; it was a sanctuary, and the predator had followed them in." | | 8 | "Quinn took a breath—sharp, calculated—and steeled herself for a hunt that had only just begun." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1054 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, leather-bound book," | | 1 | "unknown pressing against her" |
| | adverbCount | 22 | | adverbRatio | 0.020872865275142316 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0056925996204933585 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 15.04 | | std | 7.85 | | cv | 0.522 | | sampleLengths | | 0 | 32 | | 1 | 19 | | 2 | 24 | | 3 | 14 | | 4 | 2 | | 5 | 2 | | 6 | 14 | | 7 | 19 | | 8 | 18 | | 9 | 5 | | 10 | 11 | | 11 | 17 | | 12 | 9 | | 13 | 15 | | 14 | 2 | | 15 | 1 | | 16 | 17 | | 17 | 26 | | 18 | 3 | | 19 | 18 | | 20 | 12 | | 21 | 10 | | 22 | 7 | | 23 | 4 | | 24 | 12 | | 25 | 23 | | 26 | 3 | | 27 | 15 | | 28 | 20 | | 29 | 18 | | 30 | 21 | | 31 | 11 | | 32 | 10 | | 33 | 13 | | 34 | 13 | | 35 | 12 | | 36 | 30 | | 37 | 15 | | 38 | 17 | | 39 | 22 | | 40 | 16 | | 41 | 17 | | 42 | 10 | | 43 | 16 | | 44 | 21 | | 45 | 14 | | 46 | 8 | | 47 | 12 | | 48 | 8 | | 49 | 21 |
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| 36.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.25925925925925924 | | totalSentences | 81 | | uniqueOpeners | 21 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 17.10% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 69 | | matches | | 0 | "Her sharp jaw was set," | | 1 | "She watched the green neon" | | 2 | "He stepped out of the" | | 3 | "He didn’t look back, but" | | 4 | "She didn't sprint; she hunted." | | 5 | "He fumbled with the Saint" | | 6 | "He was rattled, and rattled" | | 7 | "She increased her pace, the" | | 8 | "He didn't use a key;" | | 9 | "She broke into a run," | | 10 | "He vaulted the threshold and" | | 11 | "She didn't stop." | | 12 | "She plunged into the gloom," | | 13 | "She was in the guts" | | 14 | "It was a sensation she" | | 15 | "Her pulse hammered against her" | | 16 | "She was military precision in" | | 17 | "He was desperate, angling toward" | | 18 | "She felt the heavy gaze" | | 19 | "She was out of her" |
| | ratio | 0.507 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 69 | | matches | | 0 | "The rain in Soho did" | | 1 | "Detective Harlow Quinn stood beneath" | | 2 | "Her sharp jaw was set," | | 3 | "She watched the green neon" | | 4 | "He stepped out of the" | | 5 | "He didn’t look back, but" | | 6 | "Quinn pushed off the brickwork," | | 7 | "She didn't sprint; she hunted." | | 8 | "Herrera turned down an alleyway," | | 9 | "He fumbled with the Saint" | | 10 | "He was rattled, and rattled" | | 11 | "She increased her pace, the" | | 12 | "Herrera reached the end of" | | 13 | "He didn't use a key;" | | 14 | "The ground groaned." | | 15 | "A section of the tiled" | | 16 | "Quinn shifted her weight, hand" | | 17 | "She broke into a run," | | 18 | "The man didn't hesitate." | | 19 | "He vaulted the threshold and" |
| | ratio | 0.928 | |
| 72.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 69 | | matches | | 0 | "If Herrera was the thread," |
| | ratio | 0.014 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 10 | | matches | | 0 | "He fumbled with the Saint Christopher medallion at his throat, a nervous habit that confirmed her suspicions." | | 1 | "Quinn reached the opening, a gaping mouth in the earth that smelled of ozone, stagnant water, and something metallic, like copper and rot." | | 2 | "She was in the guts of the city, descending a staircase that had long ago been abandoned to the damp." | | 3 | "It was a sensation she had learned to dread—the same electric hum that had permeated the air the night Morris vanished." | | 4 | "She was military precision in a labyrinth that defied geometry." | | 5 | "The walls hummed with flickering, unnatural lanterns that cast long, distorted shadows." | | 6 | "Traders draped in heavy fabrics sat behind stalls laden with jars that pulsed with rhythmic, bioluminescent glows and heaps of rusted iron that seemed to warp t…" | | 7 | "He was clutching a small, leather-bound book, the edges singed as if they’d been dragged through fire." | | 8 | "Her training screamed at her to close the distance, to zip-tie him and call for a transport that would never come." | | 9 | "He took a step backward, toward a shimmering rift in the air that resembled rising heat." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, though her finger hovered dangerously close to the trigger" | | 1 | "Herrera said, his voice cracking" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn called out (call out)" | | 1 | "he shouted (shout)" |
| | dialogueSentences | 11 | | tagDensity | 0.455 | | leniency | 0.909 | | rawRatio | 0.4 | | effectiveRatio | 0.364 | |