| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 26 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1443 | | 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) | |
| 75.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1443 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "tracing" | | 1 | "weight" | | 2 | "stomach" | | 3 | "pulse" | | 4 | "silence" |
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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 | 94 | | matches | (empty) | |
| 97.26% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 94 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 13 | | totalWords | 1454 | | ratio | 0.009 | | matches | | 0 | "behaviour" | | 1 | "Everything about this is wrong," | | 2 | "Everything about this is exactly the same." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1196 | | uniqueNames | 20 | | maxNameDensity | 0.75 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Herrera" | | discoveredNames | | Camden | 1 | | High | 1 | | Street | 2 | | Herrera | 7 | | Kentish | 1 | | Town | 1 | | Road | 1 | | Morris | 2 | | Deptford | 2 | | Buck | 1 | | Peckham | 1 | | Tottenham | 1 | | January | 1 | | Quinn | 9 | | November | 1 | | Kept | 1 | | Tuesday | 1 | | Edwardian | 1 | | Underground | 1 | | Water | 2 |
| | persons | | 0 | "Street" | | 1 | "Herrera" | | 2 | "Morris" | | 3 | "Buck" | | 4 | "Quinn" | | 5 | "Kept" | | 6 | "Tuesday" | | 7 | "Edwardian" | | 8 | "Underground" | | 9 | "Water" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Kentish" | | 3 | "Town" | | 4 | "Road" | | 5 | "Deptford" | | 6 | "Peckham" | | 7 | "Tottenham" | | 8 | "January" | | 9 | "November" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "something like cut grass" |
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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 | 1454 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 112 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 29.08 | | std | 26.51 | | cv | 0.912 | | sampleLengths | | 0 | 35 | | 1 | 12 | | 2 | 2 | | 3 | 54 | | 4 | 34 | | 5 | 4 | | 6 | 78 | | 7 | 7 | | 8 | 75 | | 9 | 33 | | 10 | 31 | | 11 | 17 | | 12 | 5 | | 13 | 5 | | 14 | 6 | | 15 | 97 | | 16 | 6 | | 17 | 39 | | 18 | 42 | | 19 | 43 | | 20 | 55 | | 21 | 15 | | 22 | 9 | | 23 | 5 | | 24 | 5 | | 25 | 20 | | 26 | 83 | | 27 | 5 | | 28 | 9 | | 29 | 16 | | 30 | 7 | | 31 | 27 | | 32 | 65 | | 33 | 14 | | 34 | 82 | | 35 | 17 | | 36 | 5 | | 37 | 57 | | 38 | 3 | | 39 | 93 | | 40 | 55 | | 41 | 11 | | 42 | 27 | | 43 | 32 | | 44 | 24 | | 45 | 12 | | 46 | 44 | | 47 | 6 | | 48 | 20 | | 49 | 6 |
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| 94.06% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 94 | | matches | | 0 | "was gone" | | 1 | "being rung" | | 2 | "was frightened" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 195 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 112 | | ratio | 0.063 | | matches | | 0 | "What he did was glance back — just a flick of the head, water flying off his curls — and she caught the face for the second time that night." | | 1 | "Quick and clever — he took the narrow gaps, the places her shoulders would catch, and twice she lost half a second squeezing through where he'd flowed." | | 2 | "He went to the wall — to a section of hoarding, plywood painted over with layers of flyers, DRAINAGE WORKS and something for a club night in November — and he hit it with his shoulder, and it swung." | | 3 | "That was the thing that stopped her cold — there was nothing in it but warning, the flat professional warning of a man who'd spent years telling people not to move the injured." | | 4 | "Not warm from the day — there'd been no day, it had rained since Tuesday — warm the way a hand is warm." | | 5 | "That was the first thing — three seconds of downpour and then nothing on her head, and the roar of it cut to a hum behind her, and the silence had weight." | | 6 | "Voices, hundreds of them, the specific overlapping burr of a market — but pitched wrong, some of it too low, some of it going up past where she could follow, and threaded through it a bell being rung at intervals with no rhythm she could count." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 922 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.01843817787418655 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0021691973969631237 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 12.98 | | std | 11.19 | | cv | 0.862 | | sampleLengths | | 0 | 8 | | 1 | 27 | | 2 | 12 | | 3 | 2 | | 4 | 2 | | 5 | 3 | | 6 | 30 | | 7 | 2 | | 8 | 8 | | 9 | 9 | | 10 | 1 | | 11 | 2 | | 12 | 31 | | 13 | 4 | | 14 | 9 | | 15 | 39 | | 16 | 30 | | 17 | 5 | | 18 | 2 | | 19 | 22 | | 20 | 3 | | 21 | 27 | | 22 | 4 | | 23 | 3 | | 24 | 16 | | 25 | 2 | | 26 | 21 | | 27 | 10 | | 28 | 6 | | 29 | 10 | | 30 | 15 | | 31 | 17 | | 32 | 5 | | 33 | 5 | | 34 | 6 | | 35 | 3 | | 36 | 22 | | 37 | 24 | | 38 | 5 | | 39 | 43 | | 40 | 6 | | 41 | 39 | | 42 | 10 | | 43 | 9 | | 44 | 23 | | 45 | 4 | | 46 | 3 | | 47 | 36 | | 48 | 8 | | 49 | 4 |
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| 61.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.41964285714285715 | | totalSentences | 112 | | uniqueOpeners | 47 | |
| 40.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 83 | | matches | | 0 | "Somewhere below, the crowd noise" |
| | ratio | 0.012 | |
| 46.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 83 | | matches | | 0 | "They never did." | | 1 | "Her radio was a dead" | | 2 | "She'd tried it twice on" | | 3 | "She didn't think about that." | | 4 | "He was quick." | | 5 | "She heard it." | | 6 | "She knew the sound of" | | 7 | "She had breath for it" | | 8 | "She wanted him to know" | | 9 | "He answered without turning, and" | | 10 | "He went right." | | 11 | "She'd walked it in daylight" | | 12 | "It ended in a wall." | | 13 | "It ended in a brick" | | 14 | "He didn't go up the" | | 15 | "He went to the wall" | | 16 | "It moved like light off" | | 17 | "He wasn't threatening her." | | 18 | "She kept her hands loose" | | 19 | "He coughed, spat into the" |
| | ratio | 0.434 | |
| 74.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 83 | | matches | | 0 | "Rain came down like it" | | 1 | "Quinn felt it running inside" | | 2 | "They never did." | | 3 | "Something bright at his throat" | | 4 | "A medallion on a chain," | | 5 | "Quinn went after him." | | 6 | "Her radio was a dead" | | 7 | "She'd tried it twice on" | | 8 | "She didn't think about that." | | 9 | "Herrera cut left into Buck" | | 10 | "He was quick." | | 11 | "She heard it." | | 12 | "That ragged edge in the" | | 13 | "Quinn had run down men" | | 14 | "She knew the sound of" | | 15 | "She had breath for it" | | 16 | "She wanted him to know" | | 17 | "He answered without turning, and" | | 18 | "He went right." | | 19 | "She'd walked it in daylight" |
| | ratio | 0.771 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 69.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 4 | | matches | | 0 | "Quinn felt it running inside her collar, tracing the ridge of her spine, and she ran anyway, boots slapping through the sodium-lit slick of Camden High Street." | | 1 | "Struck off the paramedic register eighteen months ago, no fixed address on file, and a name that kept surfacing in the margins of her case like a stain coming t…" | | 2 | "She'd tried it twice on Kentish Town Road and got nothing but a hiss that sounded almost like breathing, and she'd stopped trying because there were only so man…" | | 3 | "That was the thing that stopped her cold — there was nothing in it but warning, the flat professional warning of a man who'd spent years telling people not to m…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 26 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0.5 | | effectiveRatio | 0.077 | |