| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.536 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1571 | | 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) | |
| 90.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1571 | | totalAiIsms | 3 | | found | | 0 | | | 1 | | | 2 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "etched" | | 1 | "unwavering" | | 2 | "the last thing" |
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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 | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 86 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 12 | | totalWords | 1586 | | ratio | 0.008 | | matches | | 0 | "still" | | 1 | "Selling enchanted goods. Banned alchemical substances. Information." | | 2 | "here" | | 3 | "after" | | 4 | "unmarked" | | 5 | "had" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1118 | | uniqueNames | 8 | | maxNameDensity | 0.89 | | worstName | "Byrne" | | maxWindowNameDensity | 2 | | worstWindowName | "Byrne" | | discoveredNames | | Harlow | 1 | | Quinn | 7 | | Camden | 1 | | London | 1 | | Michael | 1 | | Byrne | 10 | | People | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Michael" | | 3 | "Byrne" | | 4 | "People" | | 5 | "Morris" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.631 | | wordCount | 1586 | | matches | | 0 | "not with the cardinal marks, but with symbols she didn't know, cut fine" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 40.67 | | std | 29.96 | | cv | 0.737 | | sampleLengths | | 0 | 62 | | 1 | 52 | | 2 | 91 | | 3 | 9 | | 4 | 101 | | 5 | 7 | | 6 | 9 | | 7 | 48 | | 8 | 47 | | 9 | 5 | | 10 | 64 | | 11 | 49 | | 12 | 12 | | 13 | 58 | | 14 | 11 | | 15 | 90 | | 16 | 13 | | 17 | 42 | | 18 | 53 | | 19 | 7 | | 20 | 69 | | 21 | 10 | | 22 | 53 | | 23 | 2 | | 24 | 64 | | 25 | 54 | | 26 | 18 | | 27 | 77 | | 28 | 9 | | 29 | 9 | | 30 | 4 | | 31 | 91 | | 32 | 11 | | 33 | 59 | | 34 | 70 | | 35 | 27 | | 36 | 65 | | 37 | 2 | | 38 | 62 |
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| 79.90% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 83 | | matches | | 0 | "was turned" | | 1 | "been floored" | | 2 | "been torn" | | 3 | "was etched " | | 4 | "been bricked" | | 5 | "been swept" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 179 | | matches | | 0 | "was looking" | | 1 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 96 | | ratio | 0.104 | | matches | | 0 | "Not cold — London clay never was — but *still*, the way a room is still when no one has opened a window in twenty years." | | 1 | "It was a platform, unmistakably — the curve of the wall, the tactile strip along the edge, the ghost of a destination board with the letters burned out of it." | | 2 | "Her torch picked out the tiled wall — cream, with a navy band at waist height, the sort of tiling that predated her by sixty years — and then the stall, and then the man on the floor between the stall's two folding tables." | | 3 | "Not scuffed, not dusty — clean in the way of shoes that had come out of a bag rather than off a pavement." | | 4 | "Her leather watch had slipped over her wrist bone; she pushed it back without looking at it." | | 5 | "She moved her torch up the tiled wall, behind the head of the body, and found the spatter — a low fan of it, arterial, climbing the navy band in fine ticks." | | 6 | "And there was no compression void, no shadow where a body had stood in the way of the spray — no silhouette in the pattern at all." | | 7 | "The face was etched — not with the cardinal marks, but with symbols she didn't know, cut fine and deep, the kind of engraving that came from a hand and not from a machine." | | 8 | "\"Not dead. It's moving.\" She turned her wrist, slowly, and the needle came around with her — not lagging, not drifting the way a magnetized needle does when it's failing." | | 9 | "She thought, for no reason she could have defended in a report, of DS Morris — of the last thing he'd said to her on that case three years ago, the sentence she had turned over so many times it had gone smooth as the thumb-worn side of this casing." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1110 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.021621621621621623 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0045045045045045045 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 16.52 | | std | 15.42 | | cv | 0.933 | | sampleLengths | | 0 | 23 | | 1 | 3 | | 2 | 36 | | 3 | 6 | | 4 | 26 | | 5 | 20 | | 6 | 18 | | 7 | 7 | | 8 | 9 | | 9 | 57 | | 10 | 3 | | 11 | 6 | | 12 | 30 | | 13 | 39 | | 14 | 32 | | 15 | 3 | | 16 | 3 | | 17 | 1 | | 18 | 9 | | 19 | 4 | | 20 | 44 | | 21 | 1 | | 22 | 17 | | 23 | 29 | | 24 | 5 | | 25 | 21 | | 26 | 43 | | 27 | 5 | | 28 | 15 | | 29 | 3 | | 30 | 26 | | 31 | 12 | | 32 | 3 | | 33 | 23 | | 34 | 32 | | 35 | 7 | | 36 | 4 | | 37 | 4 | | 38 | 86 | | 39 | 6 | | 40 | 7 | | 41 | 14 | | 42 | 17 | | 43 | 11 | | 44 | 32 | | 45 | 21 | | 46 | 7 | | 47 | 16 | | 48 | 11 | | 49 | 4 |
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| 69.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.4895833333333333 | | totalSentences | 96 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 70 | | matches | | 0 | "Somewhere a full moon away," | | 1 | "Then she went back to" | | 2 | "Then she stepped sideways and" | | 3 | "Somewhere behind it there was" |
| | ratio | 0.057 | |
| 31.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 70 | | matches | | 0 | "She filed it, the way" | | 1 | "It carried a sweetness underneath" | | 2 | "He'd been down here twenty" | | 3 | "His collar was turned up" | | 4 | "She was looking at the" | | 5 | "It was a platform, unmistakably" | | 6 | "She crossed the platform." | | 7 | "Her torch picked out the" | | 8 | "He was on his front" | | 9 | "She walked the line of" | | 10 | "They were clean." | | 11 | "She straightened up" | | 12 | "Her leather watch had slipped" | | 13 | "She moved her torch up" | | 14 | "She stood where the blow" | | 15 | "He said it carefully, the" | | 16 | "She had not yet touched" | | 17 | "She was looking at what" | | 18 | "She took an evidence bag" | | 19 | "It was not a maker" |
| | ratio | 0.471 | |
| 88.57% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 70 | | matches | | 0 | "The service stair down from" | | 1 | "She filed it, the way" | | 2 | "The air under Camden was" | | 3 | "It carried a sweetness underneath" | | 4 | "DS Michael Byrne said, dropping" | | 5 | "He'd been down here twenty" | | 6 | "His collar was turned up" | | 7 | "Quinn said nothing." | | 8 | "She was looking at the" | | 9 | "It was a platform, unmistakably" | | 10 | "People would say anything at" | | 11 | "She crossed the platform." | | 12 | "Her torch picked out the" | | 13 | "He was on his front" | | 14 | "Byrne crouched, careful of the" | | 15 | "Quinn let the torch travel." | | 16 | "Nothing coming back." | | 17 | "She walked the line of" | | 18 | "They were clean." | | 19 | "Byrne said, watching her" |
| | ratio | 0.743 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "She walked the line of them without stepping on them, her shadow falling ahead of her, and crouched at the far end where the prints began." | | 1 | "Palm-sized, weighty, the casing shot through with verdigris and worn smooth on one side by a thumb that had worried it for years." | | 2 | "Somewhere behind it there was no tunnel, according to two separate sets of plans, and no platform, and no fourth set of prints on a floor that had been swept be…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |