| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1357 | | 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) | |
| 48.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1357 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "chill" | | 1 | "glistening" | | 2 | "tension" | | 3 | "echoing" | | 4 | "vibrated" | | 5 | "reverberated" | | 6 | "pulse" | | 7 | "sense of" | | 8 | "scanned" | | 9 | "velvet" | | 10 | "weight" | | 11 | "standard" | | 12 | "pounding" |
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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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 7 | | totalWords | 1350 | | ratio | 0.005 | | matches | | 0 | "Morris," | | 1 | "He was following the same trail." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.43% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1259 | | uniqueNames | 17 | | maxNameDensity | 1.19 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Harlow | 1 | | Quinn | 15 | | Herrera | 11 | | Saint | 1 | | Christopher | 1 | | Camden | 2 | | Morris | 3 | | Metropolitan | 2 | | Police | 2 | | Tube | 1 | | Veil | 2 | | Market | 2 | | Tomás | 2 | | Spanish | 1 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Morris" | | 7 | "Tomás" |
| | places | | | globalScore | 0.904 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.741 | | wordCount | 1350 | | matches | | 0 | "not with sterling, but with strange coins, vials of glowing liquid" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 97.50% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 40.91 | | std | 20.1 | | cv | 0.491 | | sampleLengths | | 0 | 24 | | 1 | 67 | | 2 | 92 | | 3 | 25 | | 4 | 90 | | 5 | 53 | | 6 | 35 | | 7 | 57 | | 8 | 51 | | 9 | 41 | | 10 | 51 | | 11 | 21 | | 12 | 18 | | 13 | 39 | | 14 | 45 | | 15 | 15 | | 16 | 8 | | 17 | 75 | | 18 | 36 | | 19 | 48 | | 20 | 15 | | 21 | 65 | | 22 | 43 | | 23 | 34 | | 24 | 32 | | 25 | 38 | | 26 | 35 | | 27 | 45 | | 28 | 43 | | 29 | 38 | | 30 | 25 | | 31 | 14 | | 32 | 32 |
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| 84.86% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 86 | | matches | | 0 | "was flattened" | | 1 | "been stripped" | | 2 | "were caked" | | 3 | "was pulled" | | 4 | "was hidden" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 209 | | matches | | 0 | "was following" | | 1 | "was standing" | | 2 | "was speaking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 91 | | ratio | 0.088 | | matches | | 0 | "Quinn watched him reach up, his fingers brushing the Saint Christopher medallion hanging beneath his collar—a habitual, nervous tic she had logged in her notebook over three weeks of surveillance." | | 1 | "Half of her remained a Metropolitan Police detective bound by protocol; the other half was a ghost chasing ghosts." | | 2 | "The air venting from the subterranean opening didn't smell like sewage or damp earth; it smelled of ozone, copper, and something sweet and heavy, like dried lavender and burning resin." | | 3 | "A set of rusted iron rungs descended into a vaulted brick tunnel—an old, forgotten access shaft leading to an abandoned Tube station deep beneath Camden." | | 4 | "Quinn counted the rungs—twenty-four before her boots hit a concrete catwalk." | | 5 | "Figures moved between the stalls in a dense, bustling tide—some dressed in worn coats like her own, others wrapped in layered silks or heavy leather." | | 6 | "He was speaking frantically to a vendor—a tall figure whose face was hidden beneath a deep velvet cowl." | | 7 | "Off-the-books medical supplies, illicit trade, unlawful entry—it was enough to haul him into an interrogation room for forty-eight hours until he talked about Morris." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1276 | | adjectiveStacks | 1 | | stackExamples | | 0 | "unnatural, amber-colored flames" |
| | adverbCount | 20 | | adverbRatio | 0.01567398119122257 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.009404388714733543 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 14.84 | | std | 8.36 | | cv | 0.564 | | sampleLengths | | 0 | 24 | | 1 | 23 | | 2 | 14 | | 3 | 2 | | 4 | 28 | | 5 | 16 | | 6 | 25 | | 7 | 21 | | 8 | 30 | | 9 | 7 | | 10 | 18 | | 11 | 11 | | 12 | 27 | | 13 | 33 | | 14 | 19 | | 15 | 4 | | 16 | 27 | | 17 | 16 | | 18 | 6 | | 19 | 17 | | 20 | 18 | | 21 | 27 | | 22 | 3 | | 23 | 27 | | 24 | 8 | | 25 | 13 | | 26 | 30 | | 27 | 16 | | 28 | 25 | | 29 | 2 | | 30 | 7 | | 31 | 3 | | 32 | 5 | | 33 | 23 | | 34 | 11 | | 35 | 15 | | 36 | 6 | | 37 | 18 | | 38 | 6 | | 39 | 11 | | 40 | 22 | | 41 | 17 | | 42 | 28 | | 43 | 15 | | 44 | 5 | | 45 | 3 | | 46 | 18 | | 47 | 14 | | 48 | 25 | | 49 | 18 |
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| 61.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3956043956043956 | | totalSentences | 91 | | uniqueOpeners | 36 | |
| 40.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 83 | | matches | | 0 | "Slowly, he turned around, the" |
| | ratio | 0.012 | |
| 60.96% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 83 | | matches | | 0 | "She turned her left wrist" | | 1 | "Her closely cropped salt-and-pepper hair" | | 2 | "His olive skin was pale" | | 3 | "He turned north toward Camden," | | 4 | "It had taught her how" | | 5 | "She reached the mouth of" | | 6 | "He didn't hesitate." | | 7 | "He dropped into the black" | | 8 | "She crouched beside the grate," | | 9 | "She pulled her flash drive" | | 10 | "Her military precision demanded a" | | 11 | "She was alone." | | 12 | "*He was following the same" | | 13 | "She grabbed the collar of" | | 14 | "She drew her sidearm, holding" | | 15 | "It was alive." | | 16 | "She saw transactions made not" | | 17 | "She’d heard the name whispered" | | 18 | "She wasn't here to solve" | | 19 | "She was here to catch" |
| | ratio | 0.398 | |
| 26.27% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 83 | | matches | | 0 | "Rain pounded the asphalt of" | | 1 | "Detective Harlow Quinn stood beneath" | | 2 | "She turned her left wrist" | | 3 | "Her closely cropped salt-and-pepper hair" | | 4 | "Tomás Herrera pushed through the" | | 5 | "His olive skin was pale" | | 6 | "Quinn watched him reach up," | | 7 | "He turned north toward Camden," | | 8 | "Quinn fell into step forty" | | 9 | "It had taught her how" | | 10 | "Half of her remained a" | | 11 | "Herrera was the link." | | 12 | "The former NHS paramedic had" | | 13 | "People who didn't leave ordinary" | | 14 | "Quinn accelerated her pace, her" | | 15 | "She reached the mouth of" | | 16 | "He didn't hesitate." | | 17 | "He dropped into the black" | | 18 | "Quinn closed the distance in" | | 19 | "She crouched beside the grate," |
| | ratio | 0.867 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 83 | | matches | | 0 | "Even from thirty yards away," | | 1 | "If she went down there," |
| | ratio | 0.024 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 6 | | matches | | 0 | "Quinn watched him reach up, his fingers brushing the Saint Christopher medallion hanging beneath his collar—a habitual, nervous tic she had logged in her notebo…" | | 1 | "He dropped into the black expanse below, the iron grating clanging back into place with a hollow, echoing strike that vibrated through the soles of Quinn’s boot…" | | 2 | "Crossing this threshold meant leaving the Metropolitan Police jurisdiction and stepping into a blind spot that defied every manual she had ever read." | | 3 | "The air down here was thick, warm, and reverberated with a low, collective hum that made the teeth in her jaw ache." | | 4 | "Quinn stopped, slipping behind a heavy steel junction box, her pulse hammering against her ribs." | | 5 | "Herrera looked past her, his eyes darting toward the shadows lingering at the edge of the platform." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "Herrera insisted, his fingers tightening on the leather strap" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "Herrera insisted (insist)" | | 2 | "Quinn shouted (shout)" |
| | dialogueSentences | 10 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.6 | | effectiveRatio | 0.6 | |