| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.296 | | leniency | 0.593 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1531 | | 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) | |
| 51.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1531 | | totalAiIsms | 15 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "practiced ease" | | count | 1 |
| | 9 | | | 10 | | | 11 | |
| | highlights | | 0 | "tapestry" | | 1 | "weight" | | 2 | "glinting" | | 3 | "flickered" | | 4 | "streaming" | | 5 | "tinged" | | 6 | "could feel" | | 7 | "pulse" | | 8 | "practiced ease" | | 9 | "footsteps" | | 10 | "scanning" | | 11 | "warmth" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 83 | | matches | (empty) | |
| 91.22% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 83 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1520 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1228 | | uniqueNames | 21 | | maxNameDensity | 0.98 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Tomás" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 12 | | Greek | 1 | | Street | 1 | | Glock | 4 | | Tube | 1 | | Transport | 1 | | London | 1 | | Major | 1 | | Crimes | 1 | | Herrera | 2 | | Veil | 3 | | Market | 3 | | Raven | 1 | | Nest | 1 | | Saint | 2 | | Christopher | 2 | | Maglite | 1 | | Spain | 1 | | Tomás | 7 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Major" | | 3 | "Herrera" | | 4 | "Market" | | 5 | "Raven" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Maglite" | | 9 | "Tomás" |
| | places | | 0 | "Soho" | | 1 | "Greek" | | 2 | "Street" | | 3 | "London" | | 4 | "Spain" |
| | globalScore | 1 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 1 | | matches | | 0 | "knives that seemed to sharpen themselves, books bound in something that wasn't leather" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1520 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 33.78 | | std | 24.41 | | cv | 0.723 | | sampleLengths | | 0 | 86 | | 1 | 54 | | 2 | 23 | | 3 | 68 | | 4 | 58 | | 5 | 2 | | 6 | 87 | | 7 | 79 | | 8 | 6 | | 9 | 2 | | 10 | 40 | | 11 | 14 | | 12 | 30 | | 13 | 30 | | 14 | 3 | | 15 | 66 | | 16 | 65 | | 17 | 13 | | 18 | 71 | | 19 | 22 | | 20 | 60 | | 21 | 54 | | 22 | 45 | | 23 | 32 | | 24 | 16 | | 25 | 2 | | 26 | 30 | | 27 | 44 | | 28 | 43 | | 29 | 23 | | 30 | 23 | | 31 | 37 | | 32 | 5 | | 33 | 3 | | 34 | 44 | | 35 | 37 | | 36 | 7 | | 37 | 43 | | 38 | 32 | | 39 | 9 | | 40 | 20 | | 41 | 56 | | 42 | 4 | | 43 | 5 | | 44 | 27 |
| |
| 96.81% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 83 | | matches | | 0 | "got caught" | | 1 | "been closed" |
| |
| 69.28% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 204 | | matches | | 0 | "was already disappearing" | | 1 | "was fumbling" | | 2 | "was watching" | | 3 | "was weighing" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 101 | | ratio | 0.089 | | matches | | 0 | "The figure ahead—a man in a dark hoodie, all quick turns and desperate glances over his shoulder—didn't have that kind of stamina." | | 1 | "She knew the case file—she'd read it during her time in Major Crimes, a closed chapter in the city's history that nobody liked to talk about." | | 2 | "She'd asked where the clique got their supplies—the alchemical agents, the enchanted blades, the communication crystals that didn't leave a digital trace." | | 3 | "He'd read it, and something had flickered across his face—fear, maybe, or recognition." | | 4 | "The air changed immediately—lost the wet, ozone tang of the storm and took on something older, mustier, tinged with decay and copper." | | 5 | "The walls breathed—she could feel it, a faint pulse beneath the grout, like the station had a heartbeat of its own." | | 6 | "A sound behind her—footsteps, soft and deliberate." | | 7 | "She could see the calculation behind his fear—he was weighing his options, looking for an opening." | | 8 | "The man in the alcove made his move—lunged for the door, tore the key from the lock, and vanished through it into another passage beyond." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1250 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.0176 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0048 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 15.05 | | std | 8.91 | | cv | 0.592 | | sampleLengths | | 0 | 21 | | 1 | 21 | | 2 | 22 | | 3 | 22 | | 4 | 13 | | 5 | 26 | | 6 | 15 | | 7 | 5 | | 8 | 18 | | 9 | 31 | | 10 | 4 | | 11 | 33 | | 12 | 15 | | 13 | 18 | | 14 | 25 | | 15 | 2 | | 16 | 8 | | 17 | 20 | | 18 | 26 | | 19 | 9 | | 20 | 5 | | 21 | 10 | | 22 | 9 | | 23 | 26 | | 24 | 24 | | 25 | 22 | | 26 | 7 | | 27 | 6 | | 28 | 2 | | 29 | 9 | | 30 | 31 | | 31 | 11 | | 32 | 3 | | 33 | 13 | | 34 | 17 | | 35 | 13 | | 36 | 17 | | 37 | 3 | | 38 | 22 | | 39 | 29 | | 40 | 15 | | 41 | 11 | | 42 | 13 | | 43 | 20 | | 44 | 21 | | 45 | 13 | | 46 | 31 | | 47 | 30 | | 48 | 10 | | 49 | 22 |
| |
| 48.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.31683168316831684 | | totalSentences | 101 | | uniqueOpeners | 32 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Unofficially, there had been whispers." |
| | ratio | 0.012 | |
| 76.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 81 | | matches | | 0 | "She could hear his breath" | | 1 | "She'd been tracking this particular" | | 2 | "He wasn't her main target." | | 3 | "She put the full weight" | | 4 | "He hit a chain-link fence" | | 5 | "She cleared it in a" | | 6 | "She knew the case file—she'd" | | 7 | "He'd been stitching a gash" | | 8 | "She'd asked where the clique" | | 9 | "He'd gone still, the needle" | | 10 | "He'd given her a long" | | 11 | "she'd said, showing him the" | | 12 | "He'd read it, and something" | | 13 | "She ducked inside." | | 14 | "Her Maglite cut a broad" | | 15 | "Her mark was already disappearing" | | 16 | "She passed a woman selling" | | 17 | "She kept walking." | | 18 | "She caught up to him" | | 19 | "He was fumbling with a" |
| | ratio | 0.358 | |
| 3.21% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 81 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn kept her" | | 2 | "The figure ahead—a man in" | | 3 | "She could hear his breath" | | 4 | "Quinn followed, her right hand" | | 5 | "She'd been tracking this particular" | | 6 | "Tonight, she'd finally caught him" | | 7 | "He wasn't her main target." | | 8 | "She put the full weight" | | 9 | "The man didn't stop." | | 10 | "He hit a chain-link fence" | | 11 | "Quinn hit the fence four" | | 12 | "She cleared it in a" | | 13 | "The man was already fifty" | | 14 | "That station had been closed" | | 15 | "She knew the case file—she'd" | | 16 | "The official report cited faulty" | | 17 | "Rumors about what the rescue" | | 18 | "Tomás Herrera had told her" | | 19 | "He'd been stitching a gash" |
| | ratio | 0.914 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 12 | | matches | | 0 | "She could hear his breath hitching, his steps growing sloppier as he rounded the corner into a narrow alley off Greek Street." | | 1 | "She'd been tracking this particular connection for three weeks, a low-level fence who moved stolen goods through channels that didn't show up on any police rada…" | | 2 | "He hit a chain-link fence at the alley's dead end, scrambled over it with the desperate grace of someone who knew what waited if he got caught, and dropped into…" | | 3 | "She'd asked where the clique got their supplies—the alchemical agents, the enchanted blades, the communication crystals that didn't leave a digital trace." | | 4 | "The Veil Market sprawled before her, a nightmare bazaar of canvas stalls and flickering lanterns, the light cast in greens and purples that didn't come from any…" | | 5 | "Sellers in heavy coats and hoods haggled over tables covered in glass vials of smoking liquid, bone-handled knives that seemed to sharpen themselves, books boun…" | | 6 | "Her mark was already disappearing into the crowd, weaving between the stalls with the practiced ease of someone who knew the territory." | | 7 | "She passed a woman selling teeth arranged in geometric patterns, each one dripping with a dark, viscous fluid that crawled back up the threads when it touched t…" | | 8 | "A man with no eyes offered her a wooden box that hummed with something alive inside it." | | 9 | "He was fumbling with a metal door, jamming a key into the lock, his hands shaking so badly he couldn't get it to turn." | | 10 | "She could see the calculation behind his fear—he was weighing his options, looking for an opening." | | 11 | "Quinn looked at the door, then at Tomás, then at the darkness behind her that led back up to the rain-soaked streets of the world she knew." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "She put, but the alley ate her voice, swallowing it into the dark gaps between dumpsters and fire escapes" | | 1 | "she said, her voice flat" | | 2 | "Quinn stepped, the muzzle of the Glock steady" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 27 | | tagDensity | 0.148 | | leniency | 0.296 | | rawRatio | 0.25 | | effectiveRatio | 0.074 | |