| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.714 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1542 | | 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) | |
| 25.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1542 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "rhythmic" | | 1 | "footsteps" | | 2 | "chilled" | | 3 | "unreadable" | | 4 | "intricate" | | 5 | "whisper" | | 6 | "silk" | | 7 | "tracing" | | 8 | "warmth" | | 9 | "silence" | | 10 | "etched" | | 11 | "constructed" | | 12 | "shimmered" | | 13 | "hulking" | | 14 | "stomach" | | 15 | "surreal" | | 16 | "glint" | | 17 | "echoed" | | 18 | "profound" | | 19 | "determined" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 122 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 65 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 12 | | totalWords | 1524 | | ratio | 0.008 | | matches | | 0 | "Unexplained circumstances. Structural collapse. No further investigation warranted." | | 1 | "The Veil Market." | | 2 | "beings" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1467 | | uniqueNames | 18 | | maxNameDensity | 0.82 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 2 | | Quinn | 12 | | Herrera | 8 | | Raven | 1 | | Nest | 1 | | Met | 1 | | Camden | 3 | | Veil | 2 | | Tube | 1 | | Town | 1 | | Market | 2 | | Saint | 1 | | Christopher | 1 | | Grey | 1 | | Gate | 1 | | Morris | 4 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Raven" | | 4 | "Market" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Morris" |
| | places | | 0 | "Soho" | | 1 | "Met" | | 2 | "Camden" | | 3 | "Town" | | 4 | "Grey" |
| | globalScore | 1 | | windowScore | 1 | |
| 94.44% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 90 | | glossingSentenceCount | 2 | | matches | | 0 | "symbol that seemed to writhe under the touch of the rain" | | 1 | "looked like bottled memories, swirling mi" |
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| 3.15% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 1.969 | | wordCount | 1524 | | matches | | 0 | "not to the warehouse yard, but to a set of worn stone steps descending into darkness" | | 1 | "not as he was in life, laughing over a terrible canteen curry, but as he was in her last image of him: pale, terrified, whisper" | | 2 | "not guilt, but alarm" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 47.63 | | std | 25.64 | | cv | 0.538 | | sampleLengths | | 0 | 67 | | 1 | 68 | | 2 | 59 | | 3 | 56 | | 4 | 65 | | 5 | 3 | | 6 | 54 | | 7 | 75 | | 8 | 63 | | 9 | 40 | | 10 | 49 | | 11 | 30 | | 12 | 75 | | 13 | 73 | | 14 | 7 | | 15 | 5 | | 16 | 66 | | 17 | 5 | | 18 | 76 | | 19 | 70 | | 20 | 47 | | 21 | 61 | | 22 | 51 | | 23 | 12 | | 24 | 43 | | 25 | 10 | | 26 | 47 | | 27 | 62 | | 28 | 59 | | 29 | 12 | | 30 | 16 | | 31 | 98 |
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| 88.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 122 | | matches | | 0 | "was soaked" | | 1 | "was hidden" | | 2 | "was replaced" | | 3 | "been transformed" | | 4 | "were parked" | | 5 | "were broken" |
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| 87.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 237 | | matches | | 0 | "was running" | | 1 | "wasn’t heading" | | 2 | "was leading" | | 3 | "was talking" |
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| 27.65% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 124 | | ratio | 0.04 | | matches | | 0 | "Morris’s face flashed in her mind—not as he was in life, laughing over a terrible canteen curry, but as he was in her last image of him: pale, terrified, whispering into his radio about things that “shouldn’t be” before the line went dead with a sound like tearing silk." | | 1 | "People—*beings*—moved through the shadows." | | 2 | "Her foot brushed against a small cage containing a creature that was all eyes and shivering fear; she looked away, her stomach turning." | | 3 | "His warm brown eyes widened in recognition and something else—not guilt, but alarm." | | 4 | "The rag-wrapped vendor was already packing the satchel’s contents—glass jars holding strange organs suspended in amber fluid, bundles of dark herbs, polished bones etched with runes—into a lacquered box." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1483 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.018880647336480108 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.008091706001348618 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 12.29 | | std | 9.37 | | cv | 0.763 | | sampleLengths | | 0 | 15 | | 1 | 24 | | 2 | 17 | | 3 | 2 | | 4 | 3 | | 5 | 6 | | 6 | 33 | | 7 | 11 | | 8 | 10 | | 9 | 14 | | 10 | 11 | | 11 | 14 | | 12 | 4 | | 13 | 9 | | 14 | 2 | | 15 | 2 | | 16 | 17 | | 17 | 17 | | 18 | 21 | | 19 | 11 | | 20 | 7 | | 21 | 18 | | 22 | 18 | | 23 | 12 | | 24 | 17 | | 25 | 3 | | 26 | 10 | | 27 | 21 | | 28 | 6 | | 29 | 12 | | 30 | 2 | | 31 | 3 | | 32 | 5 | | 33 | 9 | | 34 | 13 | | 35 | 4 | | 36 | 22 | | 37 | 3 | | 38 | 16 | | 39 | 3 | | 40 | 7 | | 41 | 26 | | 42 | 19 | | 43 | 6 | | 44 | 5 | | 45 | 9 | | 46 | 3 | | 47 | 2 | | 48 | 17 | | 49 | 3 |
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| 45.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3467741935483871 | | totalSentences | 124 | | uniqueOpeners | 43 | |
| 86.21% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 116 | | matches | | 0 | "Then he vanished." | | 1 | "Then, without another moment’s hesitation," | | 2 | "Then he ducked away, melting" |
| | ratio | 0.026 | |
| 88.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 116 | | matches | | 0 | "He was just a silhouette," | | 1 | "She’d been watching the green" | | 2 | "He carried a heavy-looking satchel," | | 3 | "He’d clocked her unmarked car," | | 4 | "Her worn leather watch was" | | 5 | "She kept the distance steady," | | 6 | "He wasn’t heading for a" | | 7 | "He was leading her deeper," | | 8 | "They crossed bridges over dark" | | 9 | "She saw him glance back" | | 10 | "She approached slowly, hand hovering" | | 11 | "Her foot scuffed something metallic." | | 12 | "She knelt, ignoring the cold" | | 13 | "She fished it out." | | 14 | "It was bone, yellowed and" | | 15 | "She looked up at the" | | 16 | "It was stupid." | | 17 | "It was what got partners" | | 18 | "She had a choice." | | 19 | "Her career was a series" |
| | ratio | 0.328 | |
| 59.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 116 | | matches | | 0 | "Rain lashed the pavements of" | | 1 | "Detective Harlow Quinn moved with" | | 2 | "He was just a silhouette," | | 3 | "The unlicensed medic." | | 4 | "The man who patched up" | | 5 | "She’d been watching the green" | | 6 | "He carried a heavy-looking satchel," | | 7 | "He’d clocked her unmarked car," | | 8 | "The chase had begun on" | | 9 | "Her worn leather watch was" | | 10 | "Morris wouldn’t have approved." | | 11 | "Morris, whose death report was" | | 12 | "Herrera was fast, but Quinn" | | 13 | "She kept the distance steady," | | 14 | "He wasn’t heading for a" | | 15 | "He was leading her deeper," | | 16 | "The rain muffled the city’s" | | 17 | "They crossed bridges over dark" | | 18 | "Quinn’s sharp jaw was set," | | 19 | "She saw him glance back" |
| | ratio | 0.802 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 116 | | matches | (empty) | | ratio | 0 | |
| 42.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 9 | | matches | | 0 | "It was bone, yellowed and smooth, carved with a tiny, intricate symbol that seemed to writhe under the touch of the rain." | | 1 | "The entrance was hidden in plain sight, an architectural sleight-of-hand that made her eyes ache to look at directly." | | 2 | "The smell of rain and city grime was replaced by something older: damp stone, ozone, incense, and a coppery tang that might have been blood or magic." | | 3 | "The steps spiraled down, the walls shifting from brick to slick, ancient-looking stone etched with faint, phosphorescent glyphs that provided a sickly green glo…" | | 4 | "Whispers in languages that scratched at the inner ear coiled through the humid air." | | 5 | "Her foot brushed against a small cage containing a creature that was all eyes and shivering fear; she looked away, her stomach turning." | | 6 | "Quinn pushed forward, ignoring the vendor who hissed at her in a sibilant tongue." | | 7 | "Following Herrera in there meant leaving the world she knew behind in a way that was terrifyingly literal." | | 8 | "With a final glance at the bone token still clutched in her hand, Detective Harlow Quinn stepped out of the sickly light of the market and into the waiting dark…" |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn demanded, her voice harder than she felt" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn demanded (demand)" |
| | dialogueSentences | 7 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 1 | | effectiveRatio | 0.286 | |