| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.478 | | leniency | 0.957 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1948 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 3 |
| | 3 | |
| | highlights | | 0 | "lazily" | | 1 | "gently" | | 2 | "deliberately" | | 3 | "carefully" |
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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) | |
| 25.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1948 | | totalAiIsms | 29 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "weight" | | 1 | "silk" | | 2 | "amidst" | | 3 | "etched" | | 4 | "fluttered" | | 5 | "scanned" | | 6 | "flicked" | | 7 | "footsteps" | | 8 | "measured" | | 9 | "echoing" | | 10 | "intricate" | | 11 | "pulsed" | | 12 | "calibrated" | | 13 | "raced" | | 14 | "methodical" | | 15 | "chaotic" | | 16 | "pulse" | | 17 | "reminder" | | 18 | "throb" | | 19 | "rhythmic" | | 20 | "whisper" | | 21 | "resonance" | | 22 | "aligned" | | 23 | "resolve" | | 24 | "navigate" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 68 | | matches | | |
| 16.81% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 80 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 90 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1958 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 1289 | | uniqueNames | 12 | | maxNameDensity | 1.16 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Quinn | 2 | | Tube | 1 | | Veil | 3 | | Market | 2 | | Camden | 1 | | Shade | 1 | | Compass | 1 | | Harlow | 15 | | Kowalski | 1 | | Eva | 10 | | Binding | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Harlow" | | 3 | "Kowalski" | | 4 | "Eva" | | 5 | "Morris" |
| | places | | | globalScore | 0.918 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 6 | | matches | | 0 | "perfume that seemed to rise from the darkness itself" | | 1 | "looked like blood" | | 2 | "seemed intentional rather than accidental" | | 3 | "fissure that seemed to throb with a low, rhythmic vibration" | | 4 | "seemed nonsensical at first now aligned into a coherent picture" | | 5 | "as if waiting for her next move, while the market’s secret world unfolded around her, full of hidden dangers and whispered conspiracies" |
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| 97.85% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.021 | | wordCount | 1958 | | matches | | 0 | "not the murder itself but the concealment of an ongoing supernatural disturbance" | | 1 | "not in a ritual gone wrong but in a carefully crafted misdirection" |
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| 83.33% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 80 | | matches | | 0 | "noticing that a" | | 1 | "fragments that others" |
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| 68.64% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 65.27 | | std | 25.47 | | cv | 0.39 | | sampleLengths | | 0 | 93 | | 1 | 87 | | 2 | 97 | | 3 | 66 | | 4 | 25 | | 5 | 39 | | 6 | 90 | | 7 | 108 | | 8 | 12 | | 9 | 101 | | 10 | 97 | | 11 | 61 | | 12 | 53 | | 13 | 56 | | 14 | 60 | | 15 | 37 | | 16 | 71 | | 17 | 44 | | 18 | 69 | | 19 | 107 | | 20 | 83 | | 21 | 52 | | 22 | 79 | | 23 | 67 | | 24 | 57 | | 25 | 25 | | 26 | 74 | | 27 | 52 | | 28 | 28 | | 29 | 68 |
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| 84.62% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 68 | | matches | | 0 | "was pressed" | | 1 | "was calibrated" | | 2 | "was misaligned" | | 3 | "was placed" | | 4 | "were laid" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 196 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 5 | | flaggedSentences | 9 | | totalSentences | 80 | | ratio | 0.113 | | matches | | 0 | "But the compass’s needle did not point north; it spun lazily, then settled, pointing straight at the spot where Harlow herself stood." | | 1 | "Eva Kowalski was there, her round glasses catching the faint glow as she leaned over the corpse, her freckled hands trembling as she brushed away a stray curl of curly red hair behind her left ear — a nervous habit that had become a metronome of her anxiety." | | 2 | "The bone token — small, white, and speckled like a fragment of an ancient skull — was pressed into the floor beside the body, its surface etched with the same sigils that adorned the compass." | | 3 | "Harlow’s eyes flicked to the satchel, noticing that a stack of ancient manuscripts — Eva’s research notes on the Binding — were scattered across the floor, their pages fluttering as if a breeze had passed through, though the cavern was still." | | 4 | "The needle’s movement was not random; it was calibrated, aligning with a hidden rift that pulsed faintly in the floorboards beneath them." | | 5 | "“It’s not a breach of the Veil; it’s a conduit. Someone has been feeding energy into this market, perhaps to tempt a specific entity.”" | | 6 | "The bone token was not just a token; it was a key, a symbol of access that required a specific frequency to activate." | | 7 | "The victim’s position, the fake blood, the misaligned compass — all these were components of a larger deception, orchestrated to draw attention away from that frequency." | | 8 | "The market’s rhythm was about to shift; the next full moon would bring a new location, a new set of secrets." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 986 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.02738336713995943 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009127789046653144 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 80 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 80 | | mean | 24.48 | | std | 14.71 | | cv | 0.601 | | sampleLengths | | 0 | 36 | | 1 | 24 | | 2 | 33 | | 3 | 42 | | 4 | 38 | | 5 | 7 | | 6 | 27 | | 7 | 30 | | 8 | 18 | | 9 | 22 | | 10 | 48 | | 11 | 18 | | 12 | 25 | | 13 | 13 | | 14 | 26 | | 15 | 28 | | 16 | 11 | | 17 | 51 | | 18 | 18 | | 19 | 21 | | 20 | 19 | | 21 | 15 | | 22 | 35 | | 23 | 12 | | 24 | 11 | | 25 | 90 | | 26 | 41 | | 27 | 21 | | 28 | 35 | | 29 | 11 | | 30 | 22 | | 31 | 28 | | 32 | 4 | | 33 | 49 | | 34 | 8 | | 35 | 18 | | 36 | 16 | | 37 | 14 | | 38 | 23 | | 39 | 37 | | 40 | 14 | | 41 | 23 | | 42 | 11 | | 43 | 17 | | 44 | 15 | | 45 | 28 | | 46 | 22 | | 47 | 22 | | 48 | 17 | | 49 | 52 |
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| 37.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2875 | | totalSentences | 80 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 67 | | matches | | 0 | "Her worn leather satchel lay" | | 1 | "she asked, her tone clipped," | | 2 | "she said, her voice shaking" | | 3 | "She brushed aside a curtain" | | 4 | "She knelt, her fingers hovering" | | 5 | "She lifted one, noting the" | | 6 | "She turned her attention to" | | 7 | "She stood, her military precision" | | 8 | "she addressed the uniformed officer" | | 9 | "She turned to Eva, noting" | | 10 | "She knelt once more, pressing" | | 11 | "she said, her voice carrying" | | 12 | "She stood, her mind assembling" | | 13 | "she said, her voice low" | | 14 | "She turned to the officer," | | 15 | "She looked out over the" |
| | ratio | 0.239 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 67 | | matches | | 0 | "Harlow Quinn slipped the worn" | | 1 | "The air was thick with" | | 2 | "The Veil Market was a" | | 3 | "Tonight the market had settled" | | 4 | "A body lay crumpled near" | | 5 | "The dead man was a" | | 6 | "The compass lay beside him," | | 7 | "Eva Kowalski was there, her" | | 8 | "Her worn leather satchel lay" | | 9 | "Eva whispered, her voice low" | | 10 | "Harlow’s sharp jaw tightened, her" | | 11 | "she asked, her tone clipped," | | 12 | "Eva’s gaze flicked to the" | | 13 | "she said, her voice shaking" | | 14 | "a marker they use to" | | 15 | "Harlow moved forward, her footsteps" | | 16 | "She brushed aside a curtain" | | 17 | "The glyphs formed a looping" | | 18 | "She knelt, her fingers hovering" | | 19 | "The bone token — small," |
| | ratio | 0.925 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 20 | | matches | | 0 | "Harlow Quinn slipped the worn leather of her watch against her wrist as she descended the cracked stone steps, the metal clicking against the cold wall with the…" | | 1 | "The air was thick with the smell of damp earth and something sweeter, an acrid perfume that seemed to rise from the darkness itself." | | 2 | "Above her, the abandoned Tube station groaned under the weight of forgotten rails, but the descent ended in a vaulted cavern lit by phosphorescent fungi that cl…" | | 3 | "The Veil Market was a name whispered in hushed tones among those who traded in the forbidden, a black market that existed on the edge of reality, where enchante…" | | 4 | "A body lay crumpled near the edge of a stall that sold jars of liquid light, its glass shards scattered like broken stars across the stone floor." | | 5 | "The dead man was a Shade artisan, his skeletal frame twisted into an impossible angle, his hands clasped around a small brass compass that should have been a Ve…" | | 6 | "Eva Kowalski was there, her round glasses catching the faint glow as she leaned over the corpse, her freckled hands trembling as she brushed away a stray curl o…" | | 7 | "Eva’s gaze flicked to the compass, then to the victim’s throat, where a shallow incision glistened with a thin film of something that was not blood at all." | | 8 | "The glyphs formed a looping pattern, but one segment was missing, a break that seemed intentional rather than accidental." | | 9 | "She knelt, her fingers hovering over the glyphs, feeling the faint vibration of residual magic." | | 10 | "The bone token — small, white, and speckled like a fragment of an ancient skull — was pressed into the floor beside the body, its surface etched with the same s…" | | 11 | "Harlow’s eyes flicked to the satchel, noticing that a stack of ancient manuscripts — Eva’s research notes on the Binding — were scattered across the floor, thei…" | | 12 | "She lifted one, noting the neat script of a scholar who had annotated the text with marginalia in a different ink." | | 13 | "She turned to Eva, noting the way she clutched her satchel tighter, as if it might spill its contents at any moment." | | 14 | "The crack was barely perceptible, a hairline fissure that seemed to throb with a low, rhythmic vibration." | | 15 | "The true crime, Harlow realized, was not the murder itself but the concealment of an ongoing supernatural disturbance that could threaten the entire market." | | 16 | "The victim’s death was a prop, the compass a decoy, the bone token a clue left by someone who understood the market’s rhythms better than anyone else." | | 17 | "The true danger lay not in a ritual gone wrong but in a carefully crafted misdirection that could unleash something far more potent." | | 18 | "The cavern seemed to hold its breath, as if waiting for her next move, while the market’s secret world unfolded around her, full of hidden dangers and whispered…" | | 19 | "The scent of the supernatural lingered in the air, and Harlow Quinn, with her military precision and unyielding resolve, prepared to navigate the shadows of the…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 6 | | matches | | 0 | "Eva whispered, her voice low but edged with urgency," | | 1 | "she said, her voice shaking" | | 2 | "Harlow said, her voice steady," | | 3 | "she addressed, his eyes darting between the corpse and the market stalls" | | 4 | "she said, her voice low but resolute" | | 5 | "Harlow whispered, more to herself than to anyone else," |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "Eva whispered (whisper)" | | 1 | "she murmured (murmur)" | | 2 | "she addressed (address)" | | 3 | "Harlow whispered (whisper)" |
| | dialogueSentences | 23 | | tagDensity | 0.435 | | leniency | 0.87 | | rawRatio | 0.4 | | effectiveRatio | 0.348 | |