| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1536 | | totalAiIsmAdverbs | 1 | | 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) | |
| 83.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1536 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "footsteps" | | 1 | "mosaic" | | 2 | "etched" | | 3 | "structure" | | 4 | "magnetic" |
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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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 63 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 8 | | totalWords | 1552 | | ratio | 0.005 | | matches | | 0 | "unfamiliar" | | 1 | "prepared" | | 2 | "occult" | | 3 | "unusual" | | 4 | "absence" | | 5 | "the strange ones." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 1113 | | uniqueNames | 13 | | maxNameDensity | 0.99 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 11 | | Camden | 1 | | Town | 1 | | Davies | 4 | | Met | 1 | | Caro | 4 | | Morris | 1 | | Kowalski | 1 | | British | 1 | | Museum | 1 | | Tube | 1 | | Eva | 5 | | Super | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Davies" | | 2 | "Met" | | 3 | "Caro" | | 4 | "Morris" | | 5 | "Kowalski" | | 6 | "Eva" | | 7 | "Super" |
| | places | | 0 | "Camden" | | 1 | "Town" | | 2 | "British" | | 3 | "Tube" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | 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 | 1552 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 113 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 33.02 | | std | 30.22 | | cv | 0.915 | | sampleLengths | | 0 | 12 | | 1 | 82 | | 2 | 42 | | 3 | 53 | | 4 | 20 | | 5 | 7 | | 6 | 16 | | 7 | 77 | | 8 | 90 | | 9 | 42 | | 10 | 5 | | 11 | 12 | | 12 | 67 | | 13 | 36 | | 14 | 1 | | 15 | 20 | | 16 | 75 | | 17 | 50 | | 18 | 5 | | 19 | 1 | | 20 | 20 | | 21 | 7 | | 22 | 74 | | 23 | 18 | | 24 | 116 | | 25 | 11 | | 26 | 2 | | 27 | 90 | | 28 | 9 | | 29 | 12 | | 30 | 3 | | 31 | 41 | | 32 | 3 | | 33 | 50 | | 34 | 5 | | 35 | 53 | | 36 | 2 | | 37 | 61 | | 38 | 5 | | 39 | 23 | | 40 | 4 | | 41 | 74 | | 42 | 58 | | 43 | 50 | | 44 | 25 | | 45 | 11 | | 46 | 12 |
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| 80.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 86 | | matches | | 0 | "been cleared" | | 1 | "been dragged" | | 2 | "was etched" | | 3 | "been closed" | | 4 | "been dragged" | | 5 | "been held" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 165 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 113 | | ratio | 0.062 | | matches | | 0 | "The air tasted of chalk and something older — wet stone, mineral cold, the particular staleness of a place that had been breathing its own exhaust for decades." | | 1 | "Constable Davies — a young man with the kind of eager face she remembered from the inside of her own skull, before the Met had beaten the expression out of her — fell into step beside her like a retriever." | | 2 | "Quinn had walked enough of these abandoned stations to know the choreography of them — the sealed-off tunnels, the stranded escalators, the homeless camps the council pretended didn't exist." | | 3 | "The casing was old, dark with a green-blue bloom that she knew from old copper — verdigris, a patina that took decades to develop." | | 4 | "\"Even solicitors don't usually clutch antique compasses when they die on abandoned Tube platforms.\" She took a pen from her pocket — never her fingers, never at a scene — and eased the object from Caro's curled fingers." | | 5 | "Then she reached into her satchel — Quinn tracked the movement out of pure professional reflex — and produced a manila folder, soft at the edges from use." | | 6 | "She thought about the fact that the full moon had been three nights ago, and that the dust on the tables suggested the market — if it was a market — had been held recently, and packed away with military precision by someone who knew exactly what they were doing." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1124 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.019572953736654804 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006227758007117438 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 13.73 | | std | 12.18 | | cv | 0.887 | | sampleLengths | | 0 | 12 | | 1 | 22 | | 2 | 28 | | 3 | 32 | | 4 | 6 | | 5 | 11 | | 6 | 6 | | 7 | 19 | | 8 | 13 | | 9 | 40 | | 10 | 20 | | 11 | 7 | | 12 | 6 | | 13 | 10 | | 14 | 4 | | 15 | 12 | | 16 | 26 | | 17 | 3 | | 18 | 8 | | 19 | 24 | | 20 | 10 | | 21 | 6 | | 22 | 21 | | 23 | 29 | | 24 | 4 | | 25 | 15 | | 26 | 5 | | 27 | 19 | | 28 | 6 | | 29 | 17 | | 30 | 5 | | 31 | 12 | | 32 | 23 | | 33 | 17 | | 34 | 2 | | 35 | 3 | | 36 | 22 | | 37 | 12 | | 38 | 24 | | 39 | 1 | | 40 | 20 | | 41 | 2 | | 42 | 6 | | 43 | 15 | | 44 | 7 | | 45 | 21 | | 46 | 9 | | 47 | 8 | | 48 | 7 | | 49 | 10 |
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| 55.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3893805309734513 | | totalSentences | 113 | | uniqueOpeners | 44 | |
| 43.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 77 | | matches | | 0 | "Then she reached into her" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 77 | | matches | | 0 | "Her shoes clicked against the" | | 1 | "She did not like the" | | 2 | "She did not like *unfamiliar*" | | 3 | "She had spent eighteen years" | | 4 | "She let most things pass" | | 5 | "Her watch, the old leather" | | 6 | "It had been cleared with" | | 7 | "He lay on his back" | | 8 | "His face carried the particular" | | 9 | "She could see the faintest" | | 10 | "She leaned closer to the" | | 11 | "She looked longer." | | 12 | "She took a pen from" | | 13 | "It was warm." | | 14 | "She put the compass in" | | 15 | "Her watch ticked." | | 16 | "She thought, for no reason" | | 17 | "She flipped it open to" | | 18 | "She looked at the empty" | | 19 | "She looked at the sealed-off" |
| | ratio | 0.286 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 77 | | matches | | 0 | "The lifts had been dead" | | 1 | "The air tasted of chalk" | | 2 | "Her shoes clicked against the" | | 3 | "She did not like the" | | 4 | "That was a lie she" | | 5 | "She did not like *unfamiliar*" | | 6 | "She had spent eighteen years" | | 7 | "The uniform at the bottom" | | 8 | "Constable Davies — a young" | | 9 | "Davies had the grace to" | | 10 | "Quinn let that pass." | | 11 | "She let most things pass" | | 12 | "Her watch, the old leather" | | 13 | "The full moon had been" | | 14 | "Something about that fact stirred" | | 15 | "The platform opened around her" | | 16 | "Tiles the colour of old" | | 17 | "A tiled mosaic along the" | | 18 | "Quinn had walked enough of" | | 19 | "This one was different." |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 38.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 6 | | matches | | 0 | "The air tasted of chalk and something older — wet stone, mineral cold, the particular staleness of a place that had been breathing its own exhaust for decades." | | 1 | "Her shoes clicked against the concrete in a rhythm she was used to setting, the metronomic pace of a woman who had learned to make her footsteps mean something …" | | 2 | "The casing was old, dark with a green-blue bloom that she knew from old copper — verdigris, a patina that took decades to develop." | | 3 | "The woman standing at the top of the stairs was small, sharp-featured, weighed down with a satchel the size of a small child and a pair of round glasses that ca…" | | 4 | "She looked at the sealed-off tunnels stretching into the dark behind the platform, and the dust that lay on them, and the *absence* of dust on a path that curve…" | | 5 | "She thought about the fact that the full moon had been three nights ago, and that the dust on the tables suggested the market — if it was a market — had been he…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.114 | | leniency | 0.229 | | rawRatio | 0 | | effectiveRatio | 0 | |