| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.467 | | leniency | 0.933 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 878 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 878 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "familiar" | | 1 | "weight" | | 2 | "fleeting" | | 3 | "amidst" | | 4 | "rhythmic" | | 5 | "chill" | | 6 | "anticipation" | | 7 | "echo" | | 8 | "racing" | | 9 | "cacophony" | | 10 | "otherworldly" | | 11 | "gleaming" | | 12 | "scanning" | | 13 | "trepidation" | | 14 | "enigmatic" | | 15 | "navigating" | | 16 | "depths" | | 17 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 82.26% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 39 | | matches | | 0 | "t in determination" | | 1 | "t with unease" |
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| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 39 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 47 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 26 | | totalWords | 883 | | ratio | 0.029 | | matches | | 0 | "Chapter 7: Down into the Veil" | | 1 | "\"Excuse me...\"" | | 2 | "\"Buying or selling, detective? Either way, I have just the thing for a discerning customer such as yourself...\"" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 39.04% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 721 | | uniqueNames | 8 | | maxNameDensity | 2.22 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Harlow" | | discoveredNames | | Rain | 1 | | Harlow | 16 | | Quinn | 3 | | London | 1 | | Camden | 1 | | Tube | 1 | | Veil | 5 | | Market | 4 |
| | persons | | 0 | "Rain" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Camden" | | 4 | "Market" |
| | places | | | globalScore | 0.39 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 3 | | matches | | 0 | "object that seemed to glow in the dim light" | | 1 | "The figure, seemingly unphased by Harlow'" | | 2 | "energy that seemed to vibrate through every cell in her body" |
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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 | 883 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 47 | | matches | (empty) | |
| 79.19% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 42.05 | | std | 17.96 | | cv | 0.427 | | sampleLengths | | 0 | 6 | | 1 | 69 | | 2 | 46 | | 3 | 76 | | 4 | 56 | | 5 | 39 | | 6 | 38 | | 7 | 41 | | 8 | 49 | | 9 | 28 | | 10 | 65 | | 11 | 57 | | 12 | 52 | | 13 | 40 | | 14 | 40 | | 15 | 24 | | 16 | 42 | | 17 | 51 | | 18 | 32 | | 19 | 2 | | 20 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 39 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 106 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 47 | | ratio | 0.106 | | matches | | 0 | "Before her, a figure - her suspect, a regular at Silas' mysterious bar, The Raven's Nest - darted into the night, weaving through pedestrians with an unsettling ease." | | 1 | "Harlow's quarry vanished into the mouth of an abandoned Tube station, a location that made her gut twist with unease - rumors of the Veil Market, a supernatural black market, had long been a topic of hushed speculation among law enforcement." | | 2 | "The air emanating from the stairwell carried the scent of damp earth and something else - the metallic tang of ozone, a hint of the unknown." | | 3 | "With that ominous warning, the figure melted into the night, leaving Harlow with the token and a decision that could alter the course of her investigation - and possibly her life." | | 4 | "As she hit the bottom step, a cacophony of sounds enveloped her - haggling vendors, the clang of unknown materials, and underlying it all, a pulsing energy that seemed to vibrate through every cell in her body." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 230 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 4 | | adverbRatio | 0.017391304347826087 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 47 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 47 | | mean | 18.79 | | std | 8.81 | | cv | 0.469 | | sampleLengths | | 0 | 6 | | 1 | 20 | | 2 | 21 | | 3 | 28 | | 4 | 13 | | 5 | 20 | | 6 | 13 | | 7 | 24 | | 8 | 41 | | 9 | 11 | | 10 | 14 | | 11 | 16 | | 12 | 26 | | 13 | 13 | | 14 | 17 | | 15 | 9 | | 16 | 16 | | 17 | 11 | | 18 | 11 | | 19 | 12 | | 20 | 22 | | 21 | 7 | | 22 | 14 | | 23 | 21 | | 24 | 14 | | 25 | 12 | | 26 | 16 | | 27 | 31 | | 28 | 13 | | 29 | 21 | | 30 | 18 | | 31 | 39 | | 32 | 37 | | 33 | 15 | | 34 | 25 | | 35 | 15 | | 36 | 16 | | 37 | 24 | | 38 | 17 | | 39 | 7 | | 40 | 11 | | 41 | 31 | | 42 | 21 | | 43 | 30 | | 44 | 32 | | 45 | 2 | | 46 | 30 |
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| 82.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5106382978723404 | | totalSentences | 47 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 39 | | matches | | 0 | "Her sharp jaw set in" | | 1 | "She had been tracking this" | | 2 | "Its existence was a myth" | | 3 | "she identified herself, trying to" | | 4 | "She knew the risks of" | | 5 | "She started down, the token" |
| | ratio | 0.154 | |
| 36.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 33 | | totalSentences | 39 | | matches | | 0 | "**Chapter 7: Down into the" | | 1 | "Rain lashed down on Harlow" | | 2 | "Her sharp jaw set in" | | 3 | "Harlow's military precision kicked in," | | 4 | "She had been tracking this" | | 5 | "The suspect's sudden bolt had" | | 6 | "Harlow's quarry vanished into the" | | 7 | "Its existence was a myth" | | 8 | "Harlow skidded to a halt" | | 9 | "Water dripped from the brim" | | 10 | "The air emanating from the" | | 11 | "a low, gravelly voice advised" | | 12 | "A figure emerged, holding out" | | 13 | "Harlow's hand instinctively went to" | | 14 | "she identified herself, trying to" | | 15 | "The figure, seemingly unphased by" | | 16 | "A sly grin spread, revealing" | | 17 | "Harlow's grip on her watch" | | 18 | "She knew the risks of" | | 19 | "This was her only lead," |
| | ratio | 0.846 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 39 | | matches | | 0 | "Before her, a figure -" |
| | ratio | 0.026 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 5 | | matches | | 0 | "Harlow's quarry vanished into the mouth of an abandoned Tube station, a location that made her gut twist with unease - rumors of the Veil Market, a supernatural…" | | 1 | "Water dripped from the brim of her hat, casting rhythmic droplets onto the steps leading down." | | 2 | "The last vestiges of light from the street above faded, and Harlow Quinn found herself in a world that wasn't her own, guided only by the faint hum of the marke…" | | 3 | "As she hit the bottom step, a cacophony of sounds enveloped her - haggling vendors, the clang of unknown materials, and underlying it all, a pulsing energy that…" | | 4 | "The air was alive with an otherworldly market, stalls overflowing with goods that defied explanation." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "she identified, trying to sound calmer than she felt" |
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| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "A sly grin spread revealing (a sly grin spread revealing)" | | 1 | "Harlow stated (state)" |
| | dialogueSentences | 15 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.667 | | effectiveRatio | 0.267 | |