| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1206 | | 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) | |
| 62.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1206 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "raced" | | 1 | "anticipating" | | 2 | "pumping" | | 3 | "streaming" | | 4 | "weight" | | 5 | "structure" | | 6 | "tapestry" | | 7 | "footsteps" | | 8 | "comfortable" |
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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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 78 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1217 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1147 | | uniqueNames | 11 | | maxNameDensity | 0.52 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Quinn | 6 | | Herrera | 4 | | Underground | 1 | | Morris | 3 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Tube | 1 | | Metropolitan | 1 | | Police | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Morris" | | 3 | "Raven" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 2 | | matches | | 0 | "something close to pity" | | 1 | "sounded like a death sentence" |
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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 | 1217 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 39.26 | | std | 33.08 | | cv | 0.843 | | sampleLengths | | 0 | 57 | | 1 | 12 | | 2 | 15 | | 3 | 85 | | 4 | 7 | | 5 | 120 | | 6 | 69 | | 7 | 6 | | 8 | 92 | | 9 | 15 | | 10 | 88 | | 11 | 16 | | 12 | 99 | | 13 | 25 | | 14 | 17 | | 15 | 31 | | 16 | 33 | | 17 | 13 | | 18 | 7 | | 19 | 64 | | 20 | 19 | | 21 | 13 | | 22 | 56 | | 23 | 11 | | 24 | 86 | | 25 | 49 | | 26 | 20 | | 27 | 59 | | 28 | 11 | | 29 | 14 | | 30 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 207 | | matches | | 0 | "was fleeing" | | 1 | "were listening" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 84 | | ratio | 0.107 | | matches | | 0 | "She ran with her coat slapping wet against her thighs, eyes locked on the figure thirty meters ahead — the curly dark hair plastered flat now, the olive skin gone pale under the sodium glare of the streetlamps." | | 1 | "Quinn's breath came hard and even, her arms pumping, water streaming off the close-cropped salt-and-pepper hair she kept short for exactly this reason — nothing to grab, nothing to slow her." | | 2 | "Herrera vaulted a low chain-link fence and dropped into the recessed mouth of a stairwell — one of those forgotten access points to the dead Underground, the kind boarded over since before she'd joined the force." | | 3 | "Just steps going down, slick and worn, and at the bottom — faint, almost subliminal — the murmur of voices and the smell of something burning that wasn't smoke." | | 4 | "But she also wanted, badly, to understand — and the man knew things." | | 5 | "Behind her was the world she knew — procedure, paperwork, the comfortable fiction that the universe obeyed laws she'd been trained to enforce." | | 6 | "A vast tiled chamber spread before her — an abandoned Tube station, but alive with light from lanterns that burned colors she had no names for." | | 7 | "He saw her standing there at the foot of the stairs — a Metropolitan Police detective with her weapon drawn, her jaw set, water dripping from her coat onto the cracked tile of a market that wasn't supposed to exist." | | 8 | "And Quinn realized, with the cold clarity that had kept her alive for eighteen years, that she had just walked into a room full of things that knew exactly what she was — and that not one of them was glad to see her." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1141 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.028921998247151623 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008764241893076249 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 14.49 | | std | 11.03 | | cv | 0.761 | | sampleLengths | | 0 | 19 | | 1 | 38 | | 2 | 2 | | 3 | 2 | | 4 | 8 | | 5 | 13 | | 6 | 2 | | 7 | 3 | | 8 | 4 | | 9 | 26 | | 10 | 20 | | 11 | 32 | | 12 | 7 | | 13 | 27 | | 14 | 31 | | 15 | 14 | | 16 | 1 | | 17 | 2 | | 18 | 18 | | 19 | 27 | | 20 | 36 | | 21 | 5 | | 22 | 28 | | 23 | 6 | | 24 | 7 | | 25 | 15 | | 26 | 29 | | 27 | 5 | | 28 | 36 | | 29 | 6 | | 30 | 9 | | 31 | 5 | | 32 | 4 | | 33 | 13 | | 34 | 9 | | 35 | 40 | | 36 | 4 | | 37 | 1 | | 38 | 12 | | 39 | 6 | | 40 | 10 | | 41 | 3 | | 42 | 5 | | 43 | 13 | | 44 | 38 | | 45 | 22 | | 46 | 18 | | 47 | 12 | | 48 | 13 | | 49 | 13 |
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| 71.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4578313253012048 | | totalSentences | 83 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 70 | | matches | | 0 | "Of course he didn't." | | 1 | "Almost the full moon, if" | | 2 | "Just steps going down, slick" | | 3 | "Only footsteps, retreating, growing fainter." | | 4 | "Somewhere in the dark, something" |
| | ratio | 0.071 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 70 | | matches | | 0 | "She ran with her coat" | | 1 | "Her voice tore through the" | | 2 | "He didn't stop." | | 3 | "He cut left into a" | | 4 | "He was younger than her" | | 5 | "She glanced at the worn" | | 6 | "She only knew that for" | | 7 | "She reached the fence and" | | 8 | "She could call it in." | | 9 | "It had happened before." | | 10 | "She had learned not to" | | 11 | "she shouted down the stairs" | | 12 | "She wanted to arrest him." | | 13 | "She'd watched him slip into" | | 14 | "She'd watched him carry a" | | 15 | "He was a thread, and" | | 16 | "His voice floated up, ragged" | | 17 | "She climbed over the fence," | | 18 | "She froze on the top" | | 19 | "Her voice came out low" |
| | ratio | 0.4 | |
| 74.29% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 70 | | matches | | 0 | "Rain came down in sheets" | | 1 | "She ran with her coat" | | 2 | "The one she'd been watching" | | 3 | "Her voice tore through the" | | 4 | "He didn't stop." | | 5 | "He cut left into a" | | 6 | "He was younger than her" | | 7 | "That was the part that" | | 8 | "The alley spat them out" | | 9 | "Quinn's breath came hard and" | | 10 | "She glanced at the worn" | | 11 | "She only knew that for" | | 12 | "Herrera vaulted a low chain-link" | | 13 | "A gap yawned where the" | | 14 | "She reached the fence and" | | 15 | "Cloves and copper and ozone." | | 16 | "The smell from the alley" | | 17 | "Quinn's hand went to her" | | 18 | "The weight of her sidearm" | | 19 | "She could call it in." |
| | ratio | 0.771 | |
| 71.43% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 70 | | matches | | | ratio | 0.014 | |
| 38.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 6 | | matches | | 0 | "He was younger than her by twelve years and faster on a straightaway, but he ran like a man who didn't know the geography, who was fleeing toward something rath…" | | 1 | "Quinn's breath came hard and even, her arms pumping, water streaming off the close-cropped salt-and-pepper hair she kept short for exactly this reason — nothing…" | | 2 | "She'd watched him slip into the back room of that Soho bar with the green neon sign, the place called the Raven's Nest, where the bookshelf swung open like a do…" | | 3 | "The voices below had quieted, as if the whole space were listening." | | 4 | "He saw her standing there at the foot of the stairs — a Metropolitan Police detective with her weapon drawn, her jaw set, water dripping from her coat onto the …" | | 5 | "And Quinn realized, with the cold clarity that had kept her alive for eighteen years, that she had just walked into a room full of things that knew exactly what…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "She climbed, boots ringing on the metal" | | 1 | "she said, her voice carrying across the impossible space," |
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| 73.08% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 13 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0.333 | | effectiveRatio | 0.154 | |