| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 1 | | adverbTags | | 0 | "Just a report that used the word four times in two pages and a superior who'd told her to move on [Just]" |
| | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 1 | | effectiveRatio | 0.333 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 973 | | 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) | |
| 43.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 973 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "silence" | | 1 | "weight" | | 2 | "etched" | | 3 | "standard" | | 4 | "footsteps" | | 5 | "echoed" | | 6 | "electric" | | 7 | "pulsed" | | 8 | "resolved" |
| |
| 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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 973 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 950 | | uniqueNames | 15 | | maxNameDensity | 0.63 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 6 | | Chalk | 1 | | Farm | 1 | | Road | 1 | | Camden | 1 | | High | 1 | | Street | 1 | | Underground | 1 | | London | 2 | | Ogham | 1 | | Vice | 1 | | Murder | 1 | | Tube | 1 | | Morris | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | | 0 | "Chalk" | | 1 | "Farm" | | 2 | "Road" | | 3 | "Camden" | | 4 | "High" | | 5 | "Street" | | 6 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "something between Ogham script and a child's sc" | | 1 | "smelled like Morris's coffee habit no matt" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 973 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 27.03 | | std | 20.7 | | cv | 0.766 | | sampleLengths | | 0 | 23 | | 1 | 74 | | 2 | 18 | | 3 | 2 | | 4 | 8 | | 5 | 49 | | 6 | 6 | | 7 | 39 | | 8 | 2 | | 9 | 35 | | 10 | 10 | | 11 | 8 | | 12 | 59 | | 13 | 24 | | 14 | 30 | | 15 | 5 | | 16 | 2 | | 17 | 64 | | 18 | 34 | | 19 | 38 | | 20 | 59 | | 21 | 10 | | 22 | 40 | | 23 | 2 | | 24 | 3 | | 25 | 53 | | 26 | 14 | | 27 | 43 | | 28 | 13 | | 29 | 64 | | 30 | 32 | | 31 | 21 | | 32 | 8 | | 33 | 36 | | 34 | 14 | | 35 | 31 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 149 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 78 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 955 | | adjectiveStacks | 1 | | stackExamples | | 0 | "half-visible under decades" |
| | adverbCount | 34 | | adverbRatio | 0.0356020942408377 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005235602094240838 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 12.47 | | std | 9.93 | | cv | 0.796 | | sampleLengths | | 0 | 23 | | 1 | 7 | | 2 | 19 | | 3 | 28 | | 4 | 2 | | 5 | 4 | | 6 | 14 | | 7 | 18 | | 8 | 2 | | 9 | 3 | | 10 | 5 | | 11 | 28 | | 12 | 21 | | 13 | 6 | | 14 | 7 | | 15 | 32 | | 16 | 2 | | 17 | 18 | | 18 | 16 | | 19 | 1 | | 20 | 10 | | 21 | 8 | | 22 | 21 | | 23 | 16 | | 24 | 22 | | 25 | 2 | | 26 | 12 | | 27 | 3 | | 28 | 7 | | 29 | 2 | | 30 | 22 | | 31 | 3 | | 32 | 3 | | 33 | 5 | | 34 | 2 | | 35 | 22 | | 36 | 1 | | 37 | 1 | | 38 | 2 | | 39 | 38 | | 40 | 3 | | 41 | 20 | | 42 | 11 | | 43 | 11 | | 44 | 27 | | 45 | 25 | | 46 | 2 | | 47 | 6 | | 48 | 26 | | 49 | 4 |
| |
| 86.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5512820512820513 | | totalSentences | 78 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 60 | | matches | | 0 | "Just a glance at the" | | 1 | "Of course he didn't stop." | | 2 | "Just a report that used" | | 3 | "Maybe from down here." |
| | ratio | 0.067 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 60 | | matches | | 0 | "She'd clocked him outside the" | | 1 | "He didn't stop." | | 2 | "Her voice barely carried over" | | 3 | "Her torch beam caught the" | | 4 | "She picked it up between" | | 5 | "She'd worked Vice for six" | | 6 | "Her phone buzzed." | | 7 | "She hadn't moved on." | | 8 | "She'd just gotten quieter about" | | 9 | "She climbed down." | | 10 | "She caught fragments of a" | | 11 | "She thought of Morris's coffee" |
| | ratio | 0.2 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 30 | | totalSentences | 60 | | matches | | 0 | "The suspect had thirty metres" | | 1 | "She'd clocked him outside the" | | 2 | "He didn't stop." | | 3 | "Quinn's lungs burned, rain sluicing" | | 4 | "Neon light bled across the" | | 5 | "Her voice barely carried over" | | 6 | "The man cut left down" | | 7 | "The alley narrowed into a" | | 8 | "Her torch beam caught the" | | 9 | "Quinn edged forward, weapon-hand steady" | | 10 | "A single object glinted at" | | 11 | "She picked it up between" | | 12 | "She'd worked Vice for six" | | 13 | "Her phone buzzed." | | 14 | "A text from the desk" | | 15 | "She hadn't moved on." | | 16 | "She'd just gotten quieter about" | | 17 | "Quinn pocketed the token and" | | 18 | "The metal groaned under her" | | 19 | "She climbed down." |
| | ratio | 0.5 | |
| 83.33% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 60 | | matches | | | ratio | 0.017 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "Dark coat, hood up, moving with the kind of speed that came from knowing exactly where he was going." | | 1 | "She'd clocked him outside the chemist's on Camden High Street, hands too steady for a man who'd just watched his associate collapse mid-conversation and turn gr…" | | 2 | "The metal groaned under her weight, and a rung ladder, old and flaking rust onto her palms, dropped into blackness that swallowed her torchlight after ten feet." | | 3 | "Dozens of them, murmuring in overlapping currents, punctuated by laughter that didn't sound entirely human and the clink of coin or bone changing hands." | | 4 | "Quinn tightened her grip on the torch, stepped over a puddle reflecting the ember-coloured glow, and walked toward the sound of a market that shouldn't exist, i…" |
| |
| 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 | | 0 | "Just a report that used the word four times in two pages and a superior who'd told her to move on (use had tell move on)" |
| | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 1 | | effectiveRatio | 0.333 | |