| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "She sat back [back]" | | 1 | "Quinn said quietly [quietly]" |
| | dialogueSentences | 45 | | tagDensity | 0.378 | | leniency | 0.756 | | rawRatio | 0.118 | | effectiveRatio | 0.089 | |
| 92.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1412 | | 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) | |
| 75.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1412 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "synthetic" | | 1 | "traced" | | 2 | "silence" | | 3 | "weight" | | 4 | "database" | | 5 | "pulse" | | 6 | "etched" |
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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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 85 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1422 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1023 | | uniqueNames | 13 | | maxNameDensity | 0.68 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Ackroyd" | | discoveredNames | | Harlow | 1 | | Quinn | 7 | | Ackroyd | 7 | | Camden | 1 | | Town | 1 | | London | 1 | | Black | 1 | | January | 1 | | Silence | 1 | | Underneath | 1 | | Met | 1 | | Morris | 1 | | Hackney | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Ackroyd" | | 3 | "Underneath" | | 4 | "Morris" |
| | places | | 0 | "Camden" | | 1 | "Town" | | 2 | "London" | | 3 | "January" | | 4 | "Met" | | 5 | "Hackney" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1422 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 26.83 | | std | 26.89 | | cv | 1.002 | | sampleLengths | | 0 | 22 | | 1 | 82 | | 2 | 32 | | 3 | 14 | | 4 | 9 | | 5 | 56 | | 6 | 77 | | 7 | 20 | | 8 | 5 | | 9 | 6 | | 10 | 12 | | 11 | 37 | | 12 | 13 | | 13 | 53 | | 14 | 5 | | 15 | 63 | | 16 | 14 | | 17 | 3 | | 18 | 82 | | 19 | 7 | | 20 | 3 | | 21 | 7 | | 22 | 31 | | 23 | 23 | | 24 | 95 | | 25 | 22 | | 26 | 4 | | 27 | 1 | | 28 | 44 | | 29 | 6 | | 30 | 10 | | 31 | 10 | | 32 | 89 | | 33 | 10 | | 34 | 18 | | 35 | 80 | | 36 | 32 | | 37 | 17 | | 38 | 21 | | 39 | 1 | | 40 | 2 | | 41 | 38 | | 42 | 38 | | 43 | 4 | | 44 | 44 | | 45 | 12 | | 46 | 21 | | 47 | 4 | | 48 | 5 | | 49 | 9 |
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| 78.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 78 | | matches | | 0 | "been bricked" | | 1 | "were stacked" | | 2 | "been embarrassed" | | 3 | "been lifted" | | 4 | "been sealed" | | 5 | "been carried" | | 6 | "was etched" | | 7 | "was starred" | | 8 | "been struck" |
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| 74.21% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 159 | | matches | | 0 | "was breathing" | | 1 | "was writing" | | 2 | "was spinning" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 104 | | ratio | 0.067 | | matches | | 0 | "Not smashed — taken." | | 1 | "The air changed at the fifth step — a drop of eight, nine degrees, sudden as a hand laid on the back of the neck." | | 2 | "Trainers, boots, bare feet, something with a heel narrow as a pencil, all of them pressed into forty years of grey fluff — and all of them moving in the same direction, west along the platform toward the tunnel mouth." | | 3 | "Eyes open, and frosted — actual frost, a delicate white bloom across each cornea, and more of it in his eyebrows and the stubble along his jaw, a fine rime as though he'd been carried in from a January field." | | 4 | "Underneath, pinned to the lining, was a scrap of white — not paper." | | 5 | "Not clenched — closed, the fingers folded with care, the way you'd hold something you meant to keep." | | 6 | "She stood and looked down the platform at all those hundreds of footprints going one way into the dark, and she thought about a hole in a wall with the bricks stacked neatly beside it, and about a woman she'd passed on the stairs twenty minutes ago — red curls, round glasses, a leather satchel fat with books, tucking her hair behind her left ear over and over while she told a uniformed constable that she'd only come down because she thought she'd heard a cat." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1018 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.021611001964636542 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0068762278978389 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 13.67 | | std | 14.12 | | cv | 1.033 | | sampleLengths | | 0 | 22 | | 1 | 26 | | 2 | 5 | | 3 | 4 | | 4 | 47 | | 5 | 9 | | 6 | 23 | | 7 | 8 | | 8 | 6 | | 9 | 9 | | 10 | 7 | | 11 | 25 | | 12 | 17 | | 13 | 7 | | 14 | 42 | | 15 | 2 | | 16 | 33 | | 17 | 8 | | 18 | 12 | | 19 | 5 | | 20 | 6 | | 21 | 12 | | 22 | 37 | | 23 | 13 | | 24 | 1 | | 25 | 3 | | 26 | 40 | | 27 | 3 | | 28 | 3 | | 29 | 3 | | 30 | 5 | | 31 | 3 | | 32 | 21 | | 33 | 39 | | 34 | 8 | | 35 | 6 | | 36 | 3 | | 37 | 48 | | 38 | 1 | | 39 | 33 | | 40 | 7 | | 41 | 3 | | 42 | 7 | | 43 | 31 | | 44 | 23 | | 45 | 4 | | 46 | 9 | | 47 | 2 | | 48 | 6 | | 49 | 40 |
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| 95.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.6346153846153846 | | totalSentences | 104 | | uniqueOpeners | 66 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 64 | | matches | | 0 | "Perfectly black, and the beam" | | 1 | "Somewhere behind them water counted" | | 2 | "Then it stopped, dead, without" |
| | ratio | 0.047 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 64 | | matches | | 0 | "She let that sit and" | | 1 | "They'd been lifted decades ago," | | 2 | "She raised her voice enough" | | 3 | "She crouched at the edge" | | 4 | "He'd got his notebook out" | | 5 | "She stood, knees popping, and" | | 6 | "she said, and meant it," | | 7 | "She hunkered down and put" | | 8 | "She moved the light" | | 9 | "She traced the outline in" | | 10 | "She sat back on her" | | 11 | "She took a pen from" | | 12 | "She'd seen it on the" | | 13 | "Her pulse did something ugly." | | 14 | "She kept her face still." | | 15 | "His right hand was closed." | | 16 | "She teased them open with" | | 17 | "She stood and looked down" |
| | ratio | 0.281 | |
| 77.19% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 64 | | matches | | 0 | "The stairs down to the" | | 1 | "Detective Harlow Quinn stood at" | | 2 | "Somebody had taken them out." | | 3 | "The bricks were stacked in" | | 4 | "Quinn moved the torch" | | 5 | "She let that sit and" | | 6 | "The air changed at the" | | 7 | "August above ground, the pavements" | | 8 | "The platform opened up beneath" | | 9 | "They'd been lifted decades ago," | | 10 | "That was the second thing." | | 11 | "She raised her voice enough" | | 12 | "She crouched at the edge" | | 13 | "Hundreds of them." | | 14 | "Trainers, boots, bare feet, something" | | 15 | "Layer on layer." | | 16 | "A crowd's worth." | | 17 | "A market's worth." | | 18 | "None of them came back." | | 19 | "He'd got his notebook out" |
| | ratio | 0.766 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 5 | | matches | | 0 | "Detective Harlow Quinn stood at the top of them with her torch angled at the mortar and counted the courses of brick that weren't there anymore." | | 1 | "The bricks were stacked in neat rows against the tiled wall, four high, seven long, the old white lime dust brushed off each one and pooled on the floor in a ti…" | | 2 | "They'd been lifted decades ago, leaving a trough of ballast and standing water and the particular smell of underground London, which was rust and rain and somet…" | | 3 | "Perfectly black, and the beam did not reach the far wall she knew was there, because a tunnel that had been sealed at both ends in 1962 had to have a far wall." | | 4 | "Eyes open, and frosted — actual frost, a delicate white bloom across each cornea, and more of it in his eyebrows and the stubble along his jaw, a fine rime as t…" |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "She stood, knees popping, and swept the torch to the tunnel mouth" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.178 | | leniency | 0.356 | | rawRatio | 0 | | effectiveRatio | 0 | |