| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 969 | | 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) | |
| 74.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 969 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "echo" | | 1 | "footsteps" | | 2 | "velvet" | | 3 | "shattered" | | 4 | "flickered" |
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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 | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 71 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 980 | | 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 | 15 | | wordCount | 979 | | uniqueNames | 10 | | maxNameDensity | 0.51 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | High | 1 | | Street | 1 | | Harlow | 1 | | Quinn | 5 | | Tube | 1 | | English | 1 | | Romanian | 1 | | King | 1 | | Cross | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "King" | | 3 | "Cross" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "English" |
| | globalScore | 1 | | windowScore | 1 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "stones that seemed to shift color when she moved her head, instruments of brass and bone laid out on velvet" |
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| 97.96% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.02 | | wordCount | 980 | | matches | | 0 | "not at the figure, but directly at Quinn on the platform" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 71 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 39.2 | | std | 22.49 | | cv | 0.574 | | sampleLengths | | 0 | 77 | | 1 | 57 | | 2 | 10 | | 3 | 65 | | 4 | 53 | | 5 | 28 | | 6 | 39 | | 7 | 8 | | 8 | 3 | | 9 | 63 | | 10 | 3 | | 11 | 7 | | 12 | 74 | | 13 | 46 | | 14 | 45 | | 15 | 45 | | 16 | 55 | | 17 | 13 | | 18 | 53 | | 19 | 44 | | 20 | 48 | | 21 | 62 | | 22 | 32 | | 23 | 12 | | 24 | 38 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 151 | | matches | | 0 | "were generating" | | 1 | "was coming" | | 2 | "was already folding" | | 3 | "was backing" | | 4 | "were breathing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 71 | | ratio | 0.127 | | matches | | 0 | "The sound of his footsteps came from above and to the right — then nothing." | | 1 | "The corridor beneath Camden was narrower than she expected — barely wide enough for both shoulders — and the walls sweated with condensation." | | 2 | "The corridor opened into a vast chamber — the skeleton of an abandoned Tube station, its arched ceiling ribbed with cast iron gone green with age." | | 3 | "Crates stacked with glass jars that caught the light and held it wrong — too bright, too green, as if the liquid inside were generating its own glow." | | 4 | "The crates held things she didn't have names for — bundles of dried plants she'd never seen on any formulary, stones that seemed to shift color when she moved her head, instruments of brass and bone laid out on velvet." | | 5 | "He stopped at a stall draped in dark cloth, leaned in to speak to the man behind it, and the man looked up — not at the figure, but directly at Quinn on the platform." | | 6 | "He grinned, then bolted — pushing through the crowd toward the far end of the station where a tunnel mouth gaped black and unlit." | | 7 | "A jar shattered somewhere behind him, and a chemical smell — sweet, wrong — bloomed in the air." | | 8 | "Behind her the stairwell up to the surface waited — open, known, twelve seconds away if she turned now." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 971 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.026776519052523172 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005149330587023687 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 71 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 71 | | mean | 13.8 | | std | 11.78 | | cv | 0.853 | | sampleLengths | | 0 | 19 | | 1 | 23 | | 2 | 4 | | 3 | 2 | | 4 | 29 | | 5 | 10 | | 6 | 2 | | 7 | 45 | | 8 | 3 | | 9 | 7 | | 10 | 6 | | 11 | 18 | | 12 | 21 | | 13 | 20 | | 14 | 8 | | 15 | 11 | | 16 | 13 | | 17 | 21 | | 18 | 2 | | 19 | 7 | | 20 | 4 | | 21 | 15 | | 22 | 4 | | 23 | 1 | | 24 | 14 | | 25 | 20 | | 26 | 8 | | 27 | 3 | | 28 | 23 | | 29 | 11 | | 30 | 1 | | 31 | 2 | | 32 | 26 | | 33 | 3 | | 34 | 7 | | 35 | 26 | | 36 | 18 | | 37 | 1 | | 38 | 1 | | 39 | 28 | | 40 | 46 | | 41 | 5 | | 42 | 40 | | 43 | 7 | | 44 | 38 | | 45 | 8 | | 46 | 12 | | 47 | 35 | | 48 | 6 | | 49 | 4 |
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| 54.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.4225352112676056 | | totalSentences | 71 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 56.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 61 | | matches | | 0 | "She'd lost eight seconds." | | 1 | "She pressed the worn leather" | | 2 | "Her voice cracked against the" | | 3 | "He was lean, moving with" | | 4 | "He cut left through an" | | 5 | "She scraped her shoulder against" | | 6 | "She heard the clang of" | | 7 | "She reached the landing." | | 8 | "She followed them past junction" | | 9 | "She moved forward, one hand" | | 10 | "She rounded the final corner" | | 11 | "She stood on the lip" | | 12 | "She'd read reports about places" | | 13 | "She'd dismissed them as fantasy," | | 14 | "He moved with confidence, touching" | | 15 | "He stopped at a stall" | | 16 | "Their eyes held for a" | | 17 | "He just looked at her," | | 18 | "He knew her." | | 19 | "He'd known she was coming." |
| | ratio | 0.41 | |
| 58.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 61 | | matches | | 0 | "Rain ran in sheets down" | | 1 | "Detective Harlow Quinn hit the" | | 2 | "She'd lost eight seconds." | | 3 | "The man in the grey" | | 4 | "She pressed the worn leather" | | 5 | "The case file in her" | | 6 | "Her voice cracked against the" | | 7 | "The hooded figure didn't break" | | 8 | "He was lean, moving with" | | 9 | "He cut left through an" | | 10 | "The alley stank of vinegar" | | 11 | "She scraped her shoulder against" | | 12 | "She heard the clang of" | | 13 | "The sound of his footsteps" | | 14 | "She reached the landing." | | 15 | "She followed them past junction" | | 16 | "Quinn dropped through." | | 17 | "The corridor beneath Camden was" | | 18 | "She moved forward, one hand" | | 19 | "The hum grew louder, resonating" |
| | ratio | 0.803 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 3.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 7 | | matches | | 0 | "Detective Harlow Quinn hit the pavement hard, her boots skidding on a puddle that had no business being knee-deep outside a charity shop." | | 1 | "He was lean, moving with the economical mechanics of someone who'd spent years covering distance in a hurry." | | 2 | "Crates stacked with glass jars that caught the light and held it wrong — too bright, too green, as if the liquid inside were generating its own glow." | | 3 | "She stood on the lip of a platform that overlooked the floor of the station, and the noise hit her: overlapping voices in English and Romanian and something old…" | | 4 | "The crates held things she didn't have names for — bundles of dried plants she'd never seen on any formulary, stones that seemed to shift color when she moved h…" | | 5 | "A man in a long coat was backing away from a stall, his hand disappearing inside his jacket." | | 6 | "Above her, the rain hammered the grate that covered the station's old entrance, and the fluorescent tubes flickered once, casting the platform in a stutter of w…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |