| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "He glanced pointedly [pointedly]" |
| | dialogueSentences | 11 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.25 | | effectiveRatio | 0.182 | |
| 80.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1003 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "sharply" | | 2 | "completely" | | 3 | "slowly" |
| |
| 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) | |
| 80.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1003 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "weight" | | 1 | "calculating" | | 2 | "familiar" |
| |
| 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 | 61 | | matches | (empty) | |
| 96.02% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 61 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1009 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 907 | | uniqueNames | 11 | | maxNameDensity | 0.77 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Raven | 2 | | Nest | 1 | | Morris | 1 | | Soho | 1 | | Oxford | 1 | | Street | 1 | | Quinn | 7 | | Victorian | 1 | | Spanish | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Raven" | | 1 | "Morris" | | 2 | "Quinn" | | 3 | "Saint" | | 4 | "Christopher" |
| | places | | 0 | "Soho" | | 1 | "Oxford" | | 2 | "Street" |
| | globalScore | 1 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like ordinary conversation" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.991 | | wordCount | 1009 | | matches | | 0 | "not the blind panic of someone trying to lose a tail, but the deliberate routing of someone with a destination in mind" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 68 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 32.55 | | std | 25.35 | | cv | 0.779 | | sampleLengths | | 0 | 25 | | 1 | 76 | | 2 | 7 | | 3 | 71 | | 4 | 2 | | 5 | 6 | | 6 | 59 | | 7 | 54 | | 8 | 44 | | 9 | 71 | | 10 | 6 | | 11 | 38 | | 12 | 26 | | 13 | 3 | | 14 | 62 | | 15 | 10 | | 16 | 59 | | 17 | 28 | | 18 | 3 | | 19 | 14 | | 20 | 50 | | 21 | 69 | | 22 | 27 | | 23 | 6 | | 24 | 5 | | 25 | 45 | | 26 | 59 | | 27 | 11 | | 28 | 59 | | 29 | 10 | | 30 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 148 | | matches | | 0 | "was already pulling" | | 1 | "was going" | | 2 | "wasn't running" | | 3 | "was running" | | 4 | "was reading" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 68 | | ratio | 0.088 | | matches | | 0 | "She'd been watching the Raven's Nest for the better part of a week – nursing bad coffee in a hire car parked opposite the green neon sign, cataloguing faces, making notes that her superintendent would have called circumstantial and her gut called something else entirely." | | 1 | "She'd clocked him coming out of the Raven's twenty minutes ago, slipping through the side entrance rather than the front – the kind of detail civilians didn't notice." | | 2 | "That was the thing – not the blind panic of someone trying to lose a tail, but the deliberate routing of someone with a destination in mind." | | 3 | "The steps on the other side descended sharply, worn Victorian tile underfoot, and the smell hit her immediately – damp stone, something chemical and sweet, and beneath it all something older she had no name for." | | 4 | "And sound – voices, dozens of them layered into a low, continuous murmur that had no right to exist this far underground in a disused station she'd walked past above ground a hundred times without ever thinking anything of." | | 5 | "He had a Saint Christopher medallion at his throat, catching the amber light from below, and a scar along his left forearm that the rolled sleeve of the jacket exposed – jagged, the kind left by something deliberate and close." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 904 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.03871681415929203 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.014380530973451327 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 14.84 | | std | 12.53 | | cv | 0.844 | | sampleLengths | | 0 | 22 | | 1 | 3 | | 2 | 45 | | 3 | 31 | | 4 | 7 | | 5 | 4 | | 6 | 36 | | 7 | 28 | | 8 | 3 | | 9 | 2 | | 10 | 4 | | 11 | 2 | | 12 | 42 | | 13 | 17 | | 14 | 19 | | 15 | 27 | | 16 | 8 | | 17 | 6 | | 18 | 27 | | 19 | 6 | | 20 | 5 | | 21 | 1 | | 22 | 20 | | 23 | 14 | | 24 | 36 | | 25 | 6 | | 26 | 23 | | 27 | 12 | | 28 | 3 | | 29 | 26 | | 30 | 3 | | 31 | 36 | | 32 | 15 | | 33 | 5 | | 34 | 6 | | 35 | 10 | | 36 | 5 | | 37 | 5 | | 38 | 39 | | 39 | 4 | | 40 | 2 | | 41 | 4 | | 42 | 22 | | 43 | 6 | | 44 | 2 | | 45 | 1 | | 46 | 8 | | 47 | 6 | | 48 | 40 | | 49 | 10 |
| |
| 60.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.39705882352941174 | | totalSentences | 68 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 5.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 56 | | matches | | 0 | "She'd been watching the Raven's" | | 1 | "She hadn't expected her quarry" | | 2 | "She'd clocked him coming out" | | 3 | "He cut left down a" | | 4 | "She grabbed the corner brickwork" | | 5 | "She kept her eyes on" | | 6 | "He knew where he was" | | 7 | "He wasn't running away from" | | 8 | "He was running towards something." | | 9 | "She realised it when they" | | 10 | "He'd taken her north in" | | 11 | "He ducked beneath the railway" | | 12 | "She pressed herself to the" | | 13 | "She went through." | | 14 | "She kept the torch up," | | 15 | "Her own breathing was too" | | 16 | "She checked her phone." | | 17 | "She hadn't expected any." | | 18 | "He turned to look at" | | 19 | "His accent was Spanish, the" |
| | ratio | 0.536 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 56 | | matches | | 0 | "The rain came down in" | | 1 | "Quinn ran anyway." | | 2 | "She'd been watching the Raven's" | | 3 | "She hadn't expected her quarry" | | 4 | "The man was fast." | | 5 | "She'd clocked him coming out" | | 6 | "Quinn noticed everything." | | 7 | "He cut left down a" | | 8 | "She grabbed the corner brickwork" | | 9 | "The alley spat them out" | | 10 | "Quinn pushed harder, her lungs" | | 11 | "She kept her eyes on" | | 12 | "He knew where he was" | | 13 | "That was the thing –" | | 14 | "He wasn't running away from" | | 15 | "He was running towards something." | | 16 | "She realised it when they" | | 17 | "He'd taken her north in" | | 18 | "The market stalls were long" | | 19 | "He ducked beneath the railway" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 44.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 4 | | matches | | 0 | "Mid-thirties, olive-skinned, wearing a grey jacket that was now plastered to his back in the downpour, weaving between the late-night pedestrians on Oxford Stre…" | | 1 | "He cut left down a narrow alley between a closed kebab shop and a betting office, nearly wrenching his shoulder on the wall as he turned, and Quinn followed thr…" | | 2 | "The beam caught water dripping from the vaulted ceiling, a scattering of crushed cans, and a padlocked service gate at the far end that stood open." | | 3 | "And sound – voices, dozens of them layered into a low, continuous murmur that had no right to exist this far underground in a disused station she'd walked past …" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |