| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.833 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1528 | | totalAiIsmAdverbs | 2 | | 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) | |
| 93.46% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1528 | | totalAiIsms | 2 | | found | | | highlights | | |
| 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 | 104 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 104 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 70 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1543 | | 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 | 38 | | wordCount | 1479 | | uniqueNames | 22 | | maxNameDensity | 0.54 | | worstName | "Quinn" | | maxWindowNameDensity | 1 | | worstWindowName | "Soho" | | discoveredNames | | Soho | 2 | | Raven | 2 | | Nest | 2 | | Harlow | 1 | | Quinn | 8 | | Tomás | 1 | | Herrera | 3 | | Seville | 1 | | Wardour | 1 | | Street | 3 | | Dean | 1 | | Cross | 1 | | Road | 1 | | Fitzrovia | 1 | | Tower | 1 | | Christopher | 1 | | Camden | 3 | | High | 1 | | Bermondsey | 1 | | July | 1 | | Morris | 1 | | Veil | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Harlow" | | 3 | "Quinn" | | 4 | "Tomás" | | 5 | "Herrera" | | 6 | "Tower" | | 7 | "Christopher" | | 8 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "Seville" | | 2 | "Wardour" | | 3 | "Street" | | 4 | "Dean" | | 5 | "Cross" | | 6 | "Road" | | 7 | "Camden" | | 8 | "High" | | 9 | "Bermondsey" | | 10 | "Veil" |
| | globalScore | 1 | | windowScore | 1 | |
| 85.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like this" | | 1 | "seemed satisfied" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1543 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 42.86 | | std | 30.18 | | cv | 0.704 | | sampleLengths | | 0 | 47 | | 1 | 42 | | 2 | 70 | | 3 | 13 | | 4 | 74 | | 5 | 46 | | 6 | 9 | | 7 | 33 | | 8 | 93 | | 9 | 60 | | 10 | 52 | | 11 | 70 | | 12 | 20 | | 13 | 11 | | 14 | 61 | | 15 | 65 | | 16 | 65 | | 17 | 12 | | 18 | 58 | | 19 | 13 | | 20 | 16 | | 21 | 111 | | 22 | 14 | | 23 | 68 | | 24 | 42 | | 25 | 18 | | 26 | 8 | | 27 | 53 | | 28 | 35 | | 29 | 3 | | 30 | 23 | | 31 | 100 | | 32 | 3 | | 33 | 101 | | 34 | 17 | | 35 | 17 |
| |
| 98.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 104 | | matches | | 0 | "was revoked" | | 1 | "was gone" |
| |
| 79.34% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 221 | | matches | | 0 | "wasn't checking" | | 1 | "was checking" | | 2 | "was rising" | | 3 | "was coming" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 105 | | ratio | 0.105 | | matches | | 0 | "She held stillness the way other people held weapons — a stillness learned somewhere she didn't put in reports — and she counted." | | 1 | "He made her in the black window of a kebab shop on Wardour Street — a flick of his eyes to the glass, a stillness of his shoulders — and then he ran." | | 2 | "A locked gate stopped her for three seconds; she went over it and tore her palm open on the spikes, blood washing thin and pink down her wrist, under the worn leather band of her watch." | | 3 | "Above the rooftops the BT Tower burned through the rain, and behind the cloud there was a pale pressure in the sky, the suggestion of a moon — full tonight, or one night off it." | | 4 | "Twice she found him again by the small dull gleam at his throat, a saint on a chain — Christopher, patron of travellers, which was either faith or irony." | | 5 | "Her free hand went into his coat on pure instinct — evidence, always evidence — and something small and hard skittered out across the concrete." | | 6 | "He landed hard on the far side, steadied himself — and looked at her." | | 7 | "It was also, faintly, warm — warm like something held too long in a closed fist." | | 8 | "Her body reacted before her mind did — the skin tightening along her spine, the taste of metal at the back of her tongue." | | 9 | "Backup would take fifteen minutes, and the conversation that followed would end her — a detective, off duty, off the books, pursuing a struck-off paramedic into a condemned station on the strength of a smell." | | 10 | "The stairs spiralled down past a dead escalator frozen mid-slope, and the smell thickened around her — copper, myrrh, candle wax — until the walls opened out and she saw it: an old platform strung with lanterns burning a soft gold that didn't flicker, trestle tables receding into the dark, glass jars ranked in their hundreds, and the murmur of a crowd that had no business existing sixty feet beneath Camden." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1480 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.027702702702702704 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006081081081081081 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 14.7 | | std | 11.55 | | cv | 0.786 | | sampleLengths | | 0 | 17 | | 1 | 30 | | 2 | 17 | | 3 | 2 | | 4 | 23 | | 5 | 34 | | 6 | 18 | | 7 | 12 | | 8 | 6 | | 9 | 13 | | 10 | 11 | | 11 | 26 | | 12 | 11 | | 13 | 26 | | 14 | 11 | | 15 | 10 | | 16 | 25 | | 17 | 6 | | 18 | 3 | | 19 | 33 | | 20 | 3 | | 21 | 29 | | 22 | 25 | | 23 | 36 | | 24 | 8 | | 25 | 35 | | 26 | 17 | | 27 | 7 | | 28 | 2 | | 29 | 8 | | 30 | 35 | | 31 | 5 | | 32 | 29 | | 33 | 36 | | 34 | 5 | | 35 | 3 | | 36 | 12 | | 37 | 7 | | 38 | 4 | | 39 | 12 | | 40 | 27 | | 41 | 5 | | 42 | 3 | | 43 | 14 | | 44 | 18 | | 45 | 25 | | 46 | 4 | | 47 | 18 | | 48 | 22 | | 49 | 14 |
| |
| 77.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.5192307692307693 | | totalSentences | 104 | | uniqueOpeners | 54 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 93 | | matches | | 0 | "Then she followed." | | 1 | "Then Fitzrovia, and the long" | | 2 | "Twice she nearly lost him." | | 3 | "Twice she found him again" | | 4 | "Then his elbow caught her" | | 5 | "Then he was gone, down" | | 6 | "Then she followed them down" |
| | ratio | 0.075 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 93 | | matches | | 0 | "It ran in the gutters" | | 1 | "She held stillness the way" | | 2 | "She'd stopped telling herself she'd" | | 3 | "She knew his file by" | | 4 | "He was the only member" | | 5 | "He carried a scuffed navy" | | 6 | "He'd been inside eleven minutes" | | 7 | "He turned north without a" | | 8 | "He made her in the" | | 9 | "He ran well." | | 10 | "She was forty-one and heavier" | | 11 | "He was checking the time." | | 12 | "He's not running from me," | | 13 | "He's running to it." | | 14 | "He turned off the towpath" | | 15 | "He had to slow to" | | 16 | "She got a fistful of" | | 17 | "Her free hand went into" | | 18 | "His sleeve rode up." | | 19 | "He landed hard on the" |
| | ratio | 0.333 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 93 | | matches | | 0 | "Rain had been falling since" | | 1 | "It ran in the gutters" | | 2 | "Detective Harlow Quinn stood in" | | 3 | "She held stillness the way" | | 4 | "The tall bookshelf behind the" | | 5 | "She'd stopped telling herself she'd" | | 6 | "She knew his file by" | | 7 | "The paperwork read like a" | | 8 | "He was the only member" | | 9 | "He carried a scuffed navy" | | 10 | "He'd been inside eleven minutes" | | 11 | "He turned north without a" | | 12 | "Quinn gave him half a" | | 13 | "He made her in the" | | 14 | "He ran well." | | 15 | "She was forty-one and heavier" | | 16 | "A locked gate stopped her" | | 17 | "A black cab stood on" | | 18 | "Quinn went through the same" | | 19 | "He was checking the time." |
| | ratio | 0.677 | |
| 53.76% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 93 | | matches | | | ratio | 0.011 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 6 | | matches | | 0 | "Through the steamed glass she could see the walls she'd mapped in her notebook: old charts of coastlines that didn't exist anymore, photographs of Soho from bef…" | | 1 | "Twice she found him again by the small dull gleam at his throat, a saint on a chain — Christopher, patron of travellers, which was either faith or irony." | | 2 | "Cardiac event, the pathologist wrote, about a man who ran half-marathons for fun." | | 3 | "Backup would take fifteen minutes, and the conversation that followed would end her — a detective, off duty, off the books, pursuing a struck-off paramedic into…" | | 4 | "In the lamplight sat a small man in a railway greatcoat and a cap that had outlived its owner, hands folded on the counter as if he'd been waiting there since t…" | | 5 | "The stairs spiralled down past a dead escalator frozen mid-slope, and the smell thickened around her — copper, myrrh, candle wax — until the walls opened out an…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |