| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1120 | | 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) | |
| 68.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1120 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "weight" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "stomach" | | 4 | "lurched" | | 5 | "electric" | | 6 | "mechanical" |
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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 | 77 | | matches | (empty) | |
| 87.20% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 77 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 25 | | totalWords | 1135 | | ratio | 0.022 | | matches | | 0 | "Say again, Quinn? You're breaking up." | | 1 | "underground" | | 2 | "Platform 0 — Camden Deep" | | 3 | "No entry without token. Management not responsible for damage incurred beneath the Veil." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 67.86% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 974 | | uniqueNames | 10 | | maxNameDensity | 1.64 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 1 | | Quinn | 16 | | Camden | 2 | | High | 1 | | Street | 1 | | London | 1 | | Underground | 2 | | Morris | 1 | | Veil | 2 | | Market | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "High" | | 2 | "Street" | | 3 | "London" | | 4 | "Veil" |
| | globalScore | 0.679 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.881 | | wordCount | 1135 | | matches | | 0 | "not with the electric whine of the Underground, but with a deep mechanical shudder, as if something enormous had" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 89 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 31.53 | | std | 22.9 | | cv | 0.726 | | sampleLengths | | 0 | 82 | | 1 | 8 | | 2 | 25 | | 3 | 13 | | 4 | 43 | | 5 | 7 | | 6 | 35 | | 7 | 68 | | 8 | 55 | | 9 | 27 | | 10 | 5 | | 11 | 33 | | 12 | 61 | | 13 | 14 | | 14 | 52 | | 15 | 58 | | 16 | 29 | | 17 | 4 | | 18 | 23 | | 19 | 14 | | 20 | 43 | | 21 | 12 | | 22 | 12 | | 23 | 5 | | 24 | 75 | | 25 | 44 | | 26 | 26 | | 27 | 10 | | 28 | 3 | | 29 | 42 | | 30 | 58 | | 31 | 24 | | 32 | 5 | | 33 | 75 | | 34 | 19 | | 35 | 26 |
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| 96.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 77 | | matches | | 0 | "been told" | | 1 | "was swallowed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 145 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 89 | | ratio | 0.124 | | matches | | 0 | "The suspect — mid-thirties, wiry, wearing a soaked grey hoodie — stood beneath a flickering shop awning counting something in his hands." | | 1 | "She'd been told that word before — *underground* — in connection with this case, in connection with the whispered name of a market that moved every full moon." | | 2 | "The man glanced over his shoulder — a sharp, practised glance — and then he ran." | | 3 | "A hand-painted sign hung crooked from the ceiling, directing passengers to a line that Quinn had never seen on any map: *Platform 0 — Camden Deep*." | | 4 | "The train lurched — not with the electric whine of the Underground, but with a deep mechanical shudder, as if something enormous had shifted beneath the tracks." | | 5 | "He was breathing hard, but his eyes were steady — steady in the way of someone who had been through something worse than a foot chase and come out the other side." | | 6 | "He turned his hand over and Quinn saw it — a dark rash spreading across his palm, the skin raised and weeping." | | 7 | "Through the window, tunnel walls gave way to something older — rough-hewn stone, chalked markings, the stubs of candles set into niches." | | 8 | "Sound drifted down — voices, the clatter of coins, a stringed instrument playing something minor-key." | | 9 | "She could hear the market breathing — a low murmur of commerce layered over the hiss of gas lamps and the occasional burst of laughter from a stall." | | 10 | "She thought about DS Morris and the unexplained circumstances — the reports she'd buried because reading them made her hands shake." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 965 | | adjectiveStacks | 1 | | stackExamples | | 0 | "white against grey fabric." |
| | adverbCount | 20 | | adverbRatio | 0.02072538860103627 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002072538860103627 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 12.75 | | std | 9.6 | | cv | 0.752 | | sampleLengths | | 0 | 16 | | 1 | 30 | | 2 | 22 | | 3 | 14 | | 4 | 8 | | 5 | 25 | | 6 | 1 | | 7 | 9 | | 8 | 3 | | 9 | 4 | | 10 | 7 | | 11 | 4 | | 12 | 28 | | 13 | 7 | | 14 | 3 | | 15 | 16 | | 16 | 16 | | 17 | 6 | | 18 | 49 | | 19 | 8 | | 20 | 5 | | 21 | 10 | | 22 | 28 | | 23 | 8 | | 24 | 9 | | 25 | 15 | | 26 | 12 | | 27 | 5 | | 28 | 3 | | 29 | 20 | | 30 | 10 | | 31 | 10 | | 32 | 7 | | 33 | 26 | | 34 | 9 | | 35 | 9 | | 36 | 6 | | 37 | 3 | | 38 | 5 | | 39 | 7 | | 40 | 13 | | 41 | 20 | | 42 | 12 | | 43 | 7 | | 44 | 27 | | 45 | 5 | | 46 | 19 | | 47 | 22 | | 48 | 7 | | 49 | 4 |
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| 53.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3707865168539326 | | totalSentences | 89 | | uniqueOpeners | 33 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 74 | | matches | | 0 | "Then a voice, thin and" | | 1 | "Then back at the suspect." |
| | ratio | 0.027 | |
| 79.46% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 74 | | matches | | 0 | "You're breaking up.*" | | 1 | "She lowered the radio." | | 2 | "She'd been told that word" | | 3 | "Her boots hit the wet" | | 4 | "She pushed off into a" | | 5 | "She gained three metres on" | | 6 | "She rounded the bend and" | | 7 | "He took a left toward" | | 8 | "He didn't stop." | | 9 | "He hit the station entrance" | | 10 | "She hesitated for exactly two" | | 11 | "Her jaw set." | | 12 | "She went down the stairs." | | 13 | "She ran the length of" | | 14 | "He held up both hands," | | 15 | "She kept her hand near" | | 16 | "He was breathing hard, but" | | 17 | "His voice cracked on the" | | 18 | "He turned his hand over" | | 19 | "She looked at the staircase." |
| | ratio | 0.351 | |
| 34.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 74 | | matches | | 0 | "The rain had been falling" | | 1 | "Detective Harlow Quinn crouched behind" | | 2 | "The suspect — mid-thirties, wiry," | | 3 | "A roll of bone-white tokens," | | 4 | "Quinn pressed the transmit key" | | 5 | "You're breaking up.*" | | 6 | "She lowered the radio." | | 7 | "The signal died halfway through" | | 8 | "She'd been told that word" | | 9 | "The suspect pocketed the tokens" | | 10 | "Quinn broke cover." | | 11 | "Her boots hit the wet" | | 12 | "The man glanced over his" | | 13 | "She pushed off into a" | | 14 | "She gained three metres on" | | 15 | "The man vaulted a low" | | 16 | "Quinn went over it a" | | 17 | "The suspect's footsteps echoed off" | | 18 | "She rounded the bend and" | | 19 | "He took a left toward" |
| | ratio | 0.851 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 48.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 5 | | matches | | 0 | "She'd been told that word before — *underground* — in connection with this case, in connection with the whispered name of a market that moved every full moon." | | 1 | "He hit the station entrance at full stride, shouldering past a woman with a broken umbrella who swore and stumbled." | | 2 | "The train lurched — not with the electric whine of the Underground, but with a deep mechanical shudder, as if something enormous had shifted beneath the tracks." | | 3 | "He was breathing hard, but his eyes were steady — steady in the way of someone who had been through something worse than a foot chase and come out the other sid…" | | 4 | "She thought about the case file on her desk: three years of dead ends, of paperwork that swallowed its own tail, of a partner's name she couldn't say without he…" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn's voice came out, conversational" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |