| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1441 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1441 | | totalAiIsms | 29 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "flickered" | | 1 | "flicked" | | 2 | "weight" | | 3 | "echoes" | | 4 | "electric" | | 5 | "footsteps" | | 6 | "shimmered" | | 7 | "pulse" | | 8 | "echo" | | 9 | "shattered" | | 10 | "echoed" | | 11 | "glinting" | | 12 | "echoing" | | 13 | "scanning" | | 14 | "glint" | | 15 | "efficient" | | 16 | "intrigue" | | 17 | "peril" | | 18 | "resolve" |
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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 | 128 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 128 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1428 | | ratio | 0 | | matches | (empty) | |
| 97.22% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 1 | | matches | | 0 | "Tonight, she told herself, she would not lose another lead." |
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| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1357 | | uniqueNames | 14 | | maxNameDensity | 1.18 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 16 | | Greek | 1 | | Street | 1 | | Raven | 1 | | Nest | 1 | | Metropolitan | 1 | | Police | 1 | | Morris | 4 | | Quarters | 1 | | Veil | 1 | | Market | 1 | | Spanish | 1 | | Herrera | 6 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Nest" | | 3 | "Morris" | | 4 | "Market" | | 5 | "Herrera" |
| | places | | 0 | "Greek" | | 1 | "Street" | | 2 | "Raven" |
| | globalScore | 0.91 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 101 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1428 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 135 | | matches | | |
| 89.91% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 43.27 | | std | 20.11 | | cv | 0.465 | | sampleLengths | | 0 | 78 | | 1 | 71 | | 2 | 57 | | 3 | 65 | | 4 | 75 | | 5 | 49 | | 6 | 84 | | 7 | 45 | | 8 | 57 | | 9 | 32 | | 10 | 73 | | 11 | 48 | | 12 | 31 | | 13 | 14 | | 14 | 30 | | 15 | 54 | | 16 | 47 | | 17 | 45 | | 18 | 39 | | 19 | 19 | | 20 | 21 | | 21 | 12 | | 22 | 9 | | 23 | 46 | | 24 | 33 | | 25 | 5 | | 26 | 29 | | 27 | 56 | | 28 | 51 | | 29 | 30 | | 30 | 41 | | 31 | 38 | | 32 | 44 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 128 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 260 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 9 | | flaggedSentences | 21 | | totalSentences | 135 | | ratio | 0.156 | | matches | | 0 | "Neon lights from the Raven’s Nest painted the slick cobbles sickly green; umbrellas bobbed above tourists and late-night revellers." | | 1 | "Three years of Metropolitan Police, eighteen decorated years of service—it all narrowed to this chase." | | 2 | "Her partner was gone; DS Morris lost to a case that had turned inexplicable." | | 3 | "She hesitated a heartbeat—her instincts screamed this was no ordinary doorway—but the man’s retreat gave her no choice." | | 4 | "A faint hum—electric wires overhead—thrummed in rhythm with her heartbeat." | | 5 | "Bone tokens carved into minuscule skulls glinted on one table; jars of charcoal-black powder sat beside rusted vials of ink that shimmered violet in the lamplight." | | 6 | "Hooded figures moved like ghosts between stalls: one exchanged a scrap of parchment for a pewter dagger; another examined a cage containing a huddled creature that looked half-bat, half-rat." | | 7 | "Her hand clamped on the man’s sleeve; he spun, forcing a stall-cart over with a crash." | | 8 | "Shelves rattled; a group of hooded buyers froze in mid-haggle, faces hidden in shadow." | | 9 | "The air smelled of damp earth and something sickly sweet—like decay." | | 10 | "She felt a faint tug at her wrist—almost a pulse echoing through the token’s ridges." | | 11 | "Could this be—no, she was here for a suspect." | | 12 | "No badge, no uniform, no warrants, but if she turned back, he’d escape underground—and with him, whatever connection he had to her partner’s death." | | 13 | "He elevated her wrist; she winced as he sprayed and pressed the gauze around the wound." | | 14 | "He glanced at her hand—pause, then a faint exhale." | | 15 | "Quinn looked past Herrera; the suspect returned, a furtive shape gliding between stalls." | | 16 | "He clutched something—a small leather pouch stamped with unknowable runes." | | 17 | "He turned and bolted for a grated doorway in the wall—arch painted with half-erased graffiti." | | 18 | "No radio; the storm above blocked signals." | | 19 | "But this suspect held answers—answers about stolen goods, suspicious deaths, and maybe the truth behind Morris." | | 20 | "Snowmelt of streetlights and neon faded behind her, leaving her alone with the pulse of her own resolve—and the man skulking somewhere ahead in the shadows." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1391 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.02516175413371675 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006470165348670022 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 10.58 | | std | 5.77 | | cv | 0.545 | | sampleLengths | | 0 | 18 | | 1 | 19 | | 2 | 29 | | 3 | 12 | | 4 | 15 | | 5 | 15 | | 6 | 17 | | 7 | 14 | | 8 | 10 | | 9 | 14 | | 10 | 8 | | 11 | 16 | | 12 | 10 | | 13 | 9 | | 14 | 15 | | 15 | 18 | | 16 | 11 | | 17 | 7 | | 18 | 14 | | 19 | 6 | | 20 | 5 | | 21 | 12 | | 22 | 18 | | 23 | 18 | | 24 | 16 | | 25 | 5 | | 26 | 10 | | 27 | 15 | | 28 | 9 | | 29 | 10 | | 30 | 15 | | 31 | 26 | | 32 | 14 | | 33 | 29 | | 34 | 3 | | 35 | 20 | | 36 | 8 | | 37 | 14 | | 38 | 6 | | 39 | 16 | | 40 | 12 | | 41 | 9 | | 42 | 14 | | 43 | 11 | | 44 | 11 | | 45 | 3 | | 46 | 7 | | 47 | 13 | | 48 | 17 | | 49 | 19 |
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| 59.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3851851851851852 | | totalSentences | 135 | | uniqueOpeners | 52 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 118 | | matches | (empty) | | ratio | 0 | |
| 47.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 118 | | matches | | 0 | "She kept her gaze fixed" | | 1 | "His shoes slapped wet stone," | | 2 | "Her partner was gone; DS" | | 3 | "She flicked her flashlight on," | | 4 | "She hesitated a heartbeat—her instincts" | | 5 | "She shoulder-rolled through the gap," | | 6 | "She hunched, one hand on" | | 7 | "She counted five steps past" | | 8 | "She crept forward, flashlight bobbing." | | 9 | "She crept between a rack" | | 10 | "Her hand clamped on the" | | 11 | "He yanked free, shoulder-driving her" | | 12 | "Her voice echoed off the" | | 13 | "She rounded a corner and" | | 14 | "He stepped back, eyes widening" | | 15 | "It skittered across the stones" | | 16 | "She stooped, snagged it by" | | 17 | "She felt a faint tug" | | 18 | "he said, voice low, accent" | | 19 | "He flicked a quick glance" |
| | ratio | 0.432 | |
| 36.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 118 | | matches | | 0 | "Rain sluiced off Harlow Quinn’s" | | 1 | "Neon lights from the Raven’s" | | 2 | "She kept her gaze fixed" | | 3 | "His shoes slapped wet stone," | | 4 | "Quinn pumped her arms, leather" | | 5 | "Her partner was gone; DS" | | 6 | "Tonight, she told herself, she" | | 7 | "The suspect vanished between stacks" | | 8 | "The walls reeked of mold" | | 9 | "Quinn’s boots crumbed rust from" | | 10 | "A broken streetlamp flickered overhead," | | 11 | "She flicked her flashlight on," | | 12 | "A door stood ajar where" | | 13 | "She hesitated a heartbeat—her instincts" | | 14 | "She shoulder-rolled through the gap," | | 15 | "Metal grates, slick with rainwater," | | 16 | "She hunched, one hand on" | | 17 | "Each stair groaned under her" | | 18 | "The smell changed to oil" | | 19 | "She counted five steps past" |
| | ratio | 0.847 | |
| 42.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 118 | | matches | | 0 | "If she reached the bottom," |
| | ratio | 0.008 | |
| 89.55% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 67 | | technicalSentenceCount | 5 | | matches | | 0 | "Bone tokens carved into minuscule skulls glinted on one table; jars of charcoal-black powder sat beside rusted vials of ink that shimmered violet in the lamplig…" | | 1 | "Hooded figures moved like ghosts between stalls: one exchanged a scrap of parchment for a pewter dagger; another examined a cage containing a huddled creature t…" | | 2 | "Rainwater dripped from his shoulders as though he’d carried the storm downstairs with him." | | 3 | "Quinn pursued, flashlight beam illuminating vendors who parted silently before her, their eyes glinting with metallic curiosity." | | 4 | "Her mind blasted back to Morris’s unexplained disappearance, the whispered rumors of creatures that defied death." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, voice low, accent subtle" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "she demanded (demand)" | | 2 | "she shouted (shout)" |
| | dialogueSentences | 15 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.6 | | effectiveRatio | 0.4 | |