| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.45 | | leniency | 0.9 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.21% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2087 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 64.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2087 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "traced" | | 1 | "measured" | | 2 | "sense of" | | 3 | "weight" | | 4 | "calibrated" | | 5 | "pulse" | | 6 | "affection" | | 7 | "silence" | | 8 | "pristine" | | 9 | "coded" | | 10 | "glinting" |
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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 | 99 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 94 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2081 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 1 | | matches | | 0 | "She thought of the girl who once sat cross-legged on a faded rug in the Cardiff sitting room while Silas taught her how …" |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1566 | | uniqueNames | 10 | | maxNameDensity | 0.7 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Soho | 2 | | Blackwood | 1 | | Berlin | 1 | | Rory | 11 | | Silas | 9 | | Cardiff | 2 | | Silence | 1 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Blackwood" | | 3 | "Rory" | | 4 | "Silas" | | 5 | "Silence" | | 6 | "Evan" |
| | places | | 0 | "Soho" | | 1 | "Berlin" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 88.27% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 81 | | glossingSentenceCount | 2 | | matches | | 0 | "as though testing the weight of the number" | | 1 | "as though waiting for the next blow that might come dressed as affection" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.481 | | wordCount | 2081 | | matches | | 0 | "not from grey or limp or signet glinting under the warm bar lamp, but from the grief of knowing" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 121 | | matches | | 0 | "convinced that thinking" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 56.24 | | std | 38.02 | | cv | 0.676 | | sampleLengths | | 0 | 119 | | 1 | 82 | | 2 | 16 | | 3 | 91 | | 4 | 71 | | 5 | 20 | | 6 | 42 | | 7 | 52 | | 8 | 78 | | 9 | 9 | | 10 | 25 | | 11 | 94 | | 12 | 36 | | 13 | 83 | | 14 | 11 | | 15 | 42 | | 16 | 79 | | 17 | 126 | | 18 | 31 | | 19 | 15 | | 20 | 119 | | 21 | 28 | | 22 | 94 | | 23 | 108 | | 24 | 18 | | 25 | 26 | | 26 | 53 | | 27 | 30 | | 28 | 57 | | 29 | 50 | | 30 | 64 | | 31 | 27 | | 32 | 45 | | 33 | 85 | | 34 | 3 | | 35 | 3 | | 36 | 149 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 99 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 254 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 7 | | flaggedSentences | 11 | | totalSentences | 121 | | ratio | 0.091 | | matches | | 0 | "Maps yellowed with age papered the walls—coastlines she had traced with a fingertip as a girl, cities marked by pins like wounds." | | 1 | "The place smelled of him, or of the man he had once been; she could not tell the difference anymore." | | 2 | "“Most people call me Rory now.” She shifted the stack of empty delivery containers under her arm; the soup carton left a damp circle on her jacket." | | 3 | "The leather was warm from some earlier body; she set the cardboard towers carefully on the next stool and peeled off her sodden gloves." | | 4 | "She caught him noticing it the way he used to notice everything—quick, quiet, filing it somewhere behind the eyes." | | 5 | "She could hear her own pulse in the hush that followed; the bar seemed to hold its breath with them." | | 6 | "“Evan. I thought I could reason my way out of him the way I reasoned everything else. When I couldn’t, Eva bought me a ticket south and I took it. Now I deliver wonton soup for Yu-Fei Cheung and sleep above a pub I didn’t realise was yours.” She tasted the gin; it stayed cold all the way down." | | 7 | "Childhood bike crash, or so the official story went; she had never corrected him then and would not now." | | 8 | "She pictured herself walking into this bar ten years younger—still soft-mouthed, still uttered every thought the instant it struck, still wearing trainers that tracked mud onto expensive rugs without apology." | | 9 | "He leaned both elbows on the bar; the limp disappeared while he stood still." | | 10 | "Rory glanced toward the stairs that climbed darkly beside the fireplace—stairs she already knew by the sixth tread’s singular creak, by the smell of old plaster and someone’s previous tobacco." |
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| 92.54% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1584 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 66 | | adverbRatio | 0.041666666666666664 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.010732323232323232 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 17.2 | | std | 13.5 | | cv | 0.785 | | sampleLengths | | 0 | 23 | | 1 | 41 | | 2 | 45 | | 3 | 5 | | 4 | 5 | | 5 | 18 | | 6 | 18 | | 7 | 26 | | 8 | 20 | | 9 | 4 | | 10 | 12 | | 11 | 8 | | 12 | 29 | | 13 | 22 | | 14 | 12 | | 15 | 20 | | 16 | 5 | | 17 | 23 | | 18 | 43 | | 19 | 16 | | 20 | 4 | | 21 | 3 | | 22 | 8 | | 23 | 27 | | 24 | 4 | | 25 | 12 | | 26 | 40 | | 27 | 1 | | 28 | 2 | | 29 | 36 | | 30 | 24 | | 31 | 10 | | 32 | 5 | | 33 | 8 | | 34 | 1 | | 35 | 9 | | 36 | 16 | | 37 | 2 | | 38 | 24 | | 39 | 13 | | 40 | 19 | | 41 | 16 | | 42 | 20 | | 43 | 12 | | 44 | 24 | | 45 | 44 | | 46 | 16 | | 47 | 23 | | 48 | 8 | | 49 | 3 |
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| 61.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.4214876033057851 | | totalSentences | 121 | | uniqueOpeners | 51 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 90 | | matches | | 0 | "Somewhere above the jazz a" | | 1 | "Only the hollowness under his" | | 2 | "Somewhere below, a glass met" | | 3 | "Then she switched on the" |
| | ratio | 0.044 | |
| 51.11% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 90 | | matches | | 0 | "She had meant only to" | | 1 | "She did not expect steam." | | 2 | "She did not expect him." | | 3 | "He stood behind the scarred" | | 4 | "He came around the bar." | | 5 | "he said, and the old" | | 6 | "She shifted the stack of" | | 7 | "Her childhood friend had offered" | | 8 | "She had never once wondered" | | 9 | "She felt foolish now, peripheral." | | 10 | "She caught him noticing it" | | 11 | "He poured without asking: gin," | | 12 | "He slid the glass across" | | 13 | "he said, as though testing" | | 14 | "She had been bookish then," | | 15 | "He had called her clever" | | 16 | "She could hear her own" | | 17 | "she continued at last, staring" | | 18 | "She tasted the gin; it" | | 19 | "He nodded once, the gesture" |
| | ratio | 0.422 | |
| 54.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 90 | | matches | | 0 | "The green neon sign above" | | 1 | "Rory shoved the door open" | | 2 | "She had meant only to" | | 3 | "She did not expect steam." | | 4 | "She did not expect him." | | 5 | "He stood behind the scarred" | | 6 | "The years had settled into" | | 7 | "Rory’s breath snagged underwater-deep." | | 8 | "Silas Blackwood looked up as" | | 9 | "A couple at the far" | | 10 | "Maps yellowed with age papered" | | 11 | "The place smelled of him," | | 12 | "He came around the bar." | | 13 | "The slight limp in his" | | 14 | "The silver signet ring on" | | 15 | "he said, and the old" | | 16 | "The word came out thinner" | | 17 | "She shifted the stack of" | | 18 | "A smile ghosted across his" | | 19 | "Her childhood friend had offered" |
| | ratio | 0.811 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 8 | | matches | | 0 | "The slight limp in his left leg was new, or newly obvious, a measured hitch that made the floorboards register every second step." | | 1 | "He poured without asking: gin, ice, a curl of lemon that smelled brighter than anything outside." | | 2 | "The memory rose unbidden: the long Cardiff kitchen table, summer light through net curtains, Silas visiting after some sealed conference with her father and lin…" | | 3 | "She pictured him still whole and restless and full of coded urgencies that made dinner conversations tilt into something almost dangerous." | | 4 | "Rory glanced toward the stairs that climbed darkly beside the fireplace—stairs she already knew by the sixth tread’s singular creak, by the smell of old plaster…" | | 5 | "She considered the invitation, the fact of this man who had once represented impossible horizons now offering her secret architecture in the heart of Soho." | | 6 | "His silhouette waited in the half-light, framed by maps that charted impossible escapes none of them had managed." | | 7 | "Then she switched on the single bare bulb and began the slow work of becoming someone who could sleep under the same roof as all the unfinished histories that n…" |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, as though testing the weight of the number" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "she continued (continue)" |
| | dialogueSentences | 40 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.125 | | effectiveRatio | 0.05 | |