Run: 2026-09-23-01M37HMJYAYFB2E4KN9P53989B

Run Details

Duration:
1m 4s
Cost:
$0.031397
Provider:
OpenAI

Model input

System
You are an expert and award-winning novel writer in the dark Mystery genre. Your readers are hooked on your stories and can't wait to read the book you have in store. <important> - MUST: Start each chapter in medias res (in the middle of action). AVOID talking about the weather, time of day, the position of the sun, or other boring stuff. - The instructions/summary are just a that, a summary. Feel free to add details, stretch sections and add interesting transitions/descriptions/fillers. - When called for it, have fast-paced action, but otherwise take things slow. This is an experience, and not for people with short attention spans. Enjoy the wine, not slurp Red Bull. - Add descriptions when transitioning places/times/etc, or when coming by new places (e.g. a corner shop, a cafe, etc.). But remember: NOT at the start or end of a chapter. - MUST: AVOID ending in internal monologue, reminiscing or waiting for the next day. A good chapter end is when we're ending right when shit hits the fan. We want to have the reader be excited for what comes next. So no reminiscing, contemplating or summarizing the day. It's popcorn time! </important>
User/Human
Take into account the following glossary of characters/locations/items/lore... when writing your response: <codex> <character id="4416" name="Detective Harlow Quinn" aliases="Quinn, Detective Quinn, Harlow" pronouns="she/her" species="Human" storyRole="Antagonist"> <eyeColor>brown</eyeColor> <hair>closely cropped salt-and-pepper</hair> <height>5'9"</height> <age>41</age> <jawline>sharp jaw</jawline> <watch>worn leather watch on her left wrist</watch> <bearing>military precision</bearing> <description>A Metropolitan Police detective with 18 years of decorated service who suspects the clique is involved in criminal activity.</description> <backstory>She lost her partner, DS Morris, during a case three years ago under unexplained circumstances that had supernatural origins she doesn't yet understand.</backstory> </character> <character id="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <location id="856" name="The Veil Market" aliases="Veil Market, the Market, underground market" realm="Earth"> <currentLocation>abandoned Tube station beneath Camden</currentLocation> <entryRequirement>bone token</entryRequirement> <schedule>moves locations every full moon</schedule> <description>A hidden supernatural black market that sells enchanted goods, banned alchemical substances, and information.</description> </location> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> <proseGuidelines> <styleGuide> - Write in past tense and use British English spelling and grammar - Keep a Flesch reading ease score of 60 - Respect the the Royal Order of Adjectives: The order is: opinion, size, age, shape, color, origin, material, purpose, followed by the noun itself (e.g., "a lovely little old rectangular green French silver whittling knife") - Respect the ablaut reduplication rule (e.g. tick-tock, flip-flop) - Write in active voice - Passive voice: <bad>The book was read by Sarah.</bad> - Active voice: <good>Sarah read the book.</good> - Reduce the use of passive verbs - <bad>For a moment, I was tempted to throw in the towel.</bad> - <good>For a moment, I felt tempted to throw in the towel.</good> - Avoid misplaced modifiers that can cause confusion when starting with "-ing" words: - <bad>Considering going to the store, the empty fridge reflected in Betty's eyes.</bad> - <good>Betty stared into the empty fridge. It was time to go to the store.</good> - Avoid redundant adverbs that state the obvious meaning already contained in the verb: - <bad>She whispered quietly to her mom.</bad> - <good>She whispered to her mom.</good> - Use stronger, more descriptive verbs over weak ones: - <bad>Daniel drove quickly to his mother's house.</bad> - <good>Daniel raced to his mother's house.</good> - Omit adverbs that don't add solid meaning like "extremely", "definitely", "truly", "very", "really": - <bad>The movie was extremely boring.</bad> - <good>The movie was dull.</good> - Use adverbs to replace clunky phrasing when they increase clarity: - <bad>He threw the bags into the corner in a rough manner.</bad> - <good>He threw the bags into the corner roughly.</good> - Avoid making simple thoughts needlessly complex: - <bad>After I woke up in the morning the other day, I went downstairs, turned on the stove, and made myself a very good omelet.</bad> - <good>I cooked a delicious omelet for breakfast yesterday morning.</good> - Never backload sentences by putting the main idea at the end: - <bad>I decided not to wear too many layers because it's really hot outside.</bad> - <good>It's sweltering outside today, so I dressed light.</good> - Omit nonessential details that don't contribute to the core meaning: - <bad>It doesn't matter what kind of coffee I buy, where it's from, or if it's organic or not—I need to have cream because I really don't like how the bitterness makes me feel.</bad> - <good>I add cream to my coffee because the bitter taste makes me feel unwell.</good> - Always follow the "show, don't tell" principle. For instance: - Telling: <bad>Michael was terribly afraid of the dark.</bad> - Showing: <good>Michael tensed as his mother switched off the light and left the room.</good>- Telling: <bad>I walked through the forest. It was already Fall, and I was getting cold.</bad> - Showing: <good>Dry orange leaves crunched under my feet. I pulled my coat's collar up and rubbed my hands together.</good>- Add sensory details (sight, smell, taste, sound, touch) to support the "showing" (but keep an active voice) - <bad>The room was filled with the scent of copper.</bad> - <good>Copper stung my nostrils. Blood. Recent.</good> - Use descriptive language more sporadically. While vivid descriptions are engaging, human writers often use them in bursts rather than consistently throughout a piece. When adding them, make them count! Like when we transition from one location to the next, or someone is reminiscing their past, or explaining a concept/their dream... - Avoid adverbs and clichés and overused/commonly used phrases. Aim for fresh and original descriptions. - Avoid writing all sentences in the typical subject, verb, object structure. Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. Like so: <good>Locked. Seems like someone doesn't want his secrets exposed. I can work with that.</good> - Convey events and story through dialogue. It is important to keep a unique voice for every character and make it consistent. - Write dialogue that reveals characters' personalities, motivations, emotions, and attitudes in an interesting and compelling manner - Leave dialogue unattributed. If needed, only use "he/she said" dialogue tags and convey people's actions or face expressions through their speech. Dialogue always is standalone, never part of a paragraph. Like so: - <bad>"I don't know," Helena said nonchalantly, shrugging her shoulders</bad> - <good>"No idea" "Why not? It was your responsibility"</good> - Avoid boring and mushy dialog and descriptions, have dialogue always continue the action, never stall or include unnecessary fluff. Vary the descriptions to not repeat yourself. Avoid conversations that are just "Let's go" "yes, let's" or "Are you ready?" "Yes I'm ready". Those are not interesting. Think hard about every situtation and word of text before writing dialogue. If it doesn't serve a purpose and it's just people talking about their day, leave it. No one wants to have a normal dinner scene, something needs to happen for it to be in the story. Words are expensive to print, so make sure they count! - Put dialogue on its own paragraph to separate scene and action. - Use body language to reveal hidden feelings and implied accusations- Imply feelings and thoughts, never state them directly - NEVER use indicators of uncertainty like "trying" or "maybe" - NEVER use em-dashes, use commas for asides instead </styleGuide> <voiceGuide> Each character in the story needs to have distinct speech patterns: - Word choice preferences - Sentence length tendencies - Cultural/educational influences - Verbal tics and catchphrases Learn how each person talks and continue in their style, and use their Codex entries as reference. <examples> - <bad>"We need to go now." "Yes, we should leave." "I agree."</bad> <good>"Time's up." "Indeed, our departure is rather overdue." "Whatever, let's bounce."</good> - Power Dynamic Example: <bad> "We need to discuss the contract." "Yes, let's talk about it." "I have concerns." </bad> <good> "A word about the contract." "Of course, Mr. Blackwood. Whatever you need." "The terms seem..." A manicured nail tapped the desk. "Inadequate." "I can explain every-" "Can you?" </good> </examples> </voiceGuide> <dialogueFlow> When writing dialogue, consider that it usually has a goal in mind, which gives it a certain flow. Make dialogue sections also quite snappy in the back and forth, and don't spread the lines out as much. It's good to have details before, after, or as a chunk in-between, but we don't want to have a trail of "dialogue breadcrumbs" spread throughout a conversation. <examples> - Pattern 1 - Question/Deflection/Revelation: <good> "Where were you last night?" "Work. The usual." "Lipstick's an interesting shade for spreadsheets." </good> - Pattern 2 - Statement/Contradiction/Escalation: <good> "Your brother's clean." "Tommy doesn't touch drugs." "I'm holding his tox screen." </good> - Pattern 3 - Observation/Denial/Truth: <good> "That's a new watch." "Birthday gift." "We both know what birthdays mean in this business." </good> - Example - A Simple Coffee Order: <bad> "I'll have a coffee." "What size?" "Large, please." </bad> <good> "Black coffee.""Size?""Large. Been a long night." "That bodega shooting?" "You watch too much news." "My brother owns that store." </good> This short exchange: - Advances plot (reveals connection to crime) - Shows character (cop working late) - Creates tension (unexpected connection) - Sets up future conflict (personal stake) - Example - Dinner Scene: <bad> "Pass the salt." "Here you go." "Thanks." </bad> <good> "Salt?" "Perfect as is. Mother's recipe." "Mother always did prefer... bland things." "Unlike your first wife?" </good> - Example - Office Small Talk: <bad> "Nice weather today." "Yes, very nice." "Good for golf." </bad> <good> "Perfect golf weather." "Shame about your membership." "Temporary suspension. Board meets next week." "I know. I called the vote." </good> </examples> </dialogueFlow> <subtextGuide> - Layer dialogue with hidden meaning: <bad>"I hate you!" she yelled angrily.</bad> <good>"I made your favorite dinner." The burnt pot sat accusingly on the stove.</good> - Create tension through indirect communication: <bad>"Are you cheating on me?"</bad> <good>"Late meeting again?" The lipstick stain on his collar caught the light.</good> <examples> - Example 1 - Unspoken Betrayal: <bad> "Did you tell them about our plans?" "No, I would never betray you." "I don't believe you." </bad> <good> "Funny. Johnson mentioned our expansion plans today." "The market's full of rumors." "Mentioned the exact numbers, actually." The pen in his hand snapped. </good> - Example 2 - Failed Marriage: <bad> "You're never home anymore." "I have to work late." "I miss you." </bad> <good> "Your dinner's in the microwave. Again." "Meetings ran long." "They always do." She folded the same shirt for the third time. </good> - Example 3 - Power Struggle: <bad> "You can't fire me." "I'm the boss." "I'll fight this." </bad> <good> "That's my father's nameplate you're sitting behind." "Was." "The board meeting's on Thursday." </good> </examples> </subtextGuide> <sceneDetail> While writing dialogue makes things more fun, sometimes we need to add detail to not have it be a full on theatre piece. <examples> - Example A (Power Dynamic Scene) <good> "Where's my money?" The ledger snapped shut. "I need more time." "Interesting." He pulled out a familiar gold pocket watch. My mother's. "Time is exactly what you bargained with last month." "That was different-" "Was it?" The watch dangled between us. "Four generations of O'Reillys have wound this every night. Your mother. Your grandmother. Your great-grandmother.Shall we see who winds it next?" </good> - Example B (Action Chase) It's much better to be in the head of the character experiencing it, showing a bit of their though-process, mannerisms and personality: <good> Three rules for surviving a goblin chase in Covent Garden: Don't run straight. Don't look back. Don't let them herd you underground. I broke the first rule at Drury Lane. Rookie mistake. The fruit cart I dodged sailed into the wall behind me. Glass shattered. Someone screamed about insurance. *Tourist season's getting rough*, the scream seemed to say. Londoners adapt fast. "Oi! Market's closed!" The goblin's accent was pure East End. They're evolving. Learning. I spotted the Warren Street tube station sign ahead. *Shit.* There went rule three. </good> - Example C (Crime Scene Investigation) <good> "Greek." Davies snapped photos of the symbols. "No, wait. Reverse Greek." "Someone's been watching too many horror films." I picked up a receipt from the floor. Occult supply shop in Camden. Paid by credit card. *Amateur hour*. "Could be dangerous though," Davies said. "Remember Bristol?" "Bristol was Sanskrit. And actual cultists." I pointed to the nearest symbol. "This genius wrote 'darkness' backwards but used a Sigma instead of an S. It's summoning Instagram followers at best." "Speaking of followers..." Davies pointed to heavy foot traffic in the dust. Multiple sets. All new trainers. *Ah.* "Anyone check local uni paranormal societies?" </good> - Example D (Dialogue-heavy) <good> "Found your card in her wallet." The detective slid it across the table. Worn edges. Folded corner. Three years old at least. "Standard practice. I work missing persons." "Funny thing about missing persons.Eventually they stop being missing. Turn up in the Thames. Under motorways. In pieces." "I don't-" "You found four last year. All breathing." She opened a file. "This would've been your first dead one. If we hadn't found her first." The card felt heavier somehow. </good> </examples> </sceneDetail> <sceneOpenings> KEY RULE: Never open with more than one paragraph of description, no matter how beautiful. Description should be earned through action and dialogue. Instead of opening with setting description, open with: - A character doing something specific - A line of dialogue that raises questions - An unexpected observation - A moment of tension or conflict - Start with a hook that's 1-2 sentences maximum - Follow with a smaller paragraph that provides immediate context - Vary paragraph size from the start to create visual interest </sceneOpenings> </proseGuidelines> Write a chapter based on the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. Use the codex entries above as your world reference for characters and setting. Only include the prose of the scene without any markdown or commentary. </instructions>

Model response

AI
Detective Harlow Quinn caught the constable’s wrist before he pulled the knife from the dead man’s chest. “Leave it.” “It’s loose, ma’am.” “That makes two things wrong with it.” The constable stepped back. Across the abandoned platform, a row of stalls stood deserted beneath a sign for a station that no longer appeared on any Tube map. Someone had left a cage full of teeth on one counter. The teeth clicked against the bars, though nothing inside the cage moved. DS Tom Bell ducked under the cordon with a paper cup in each hand. He took in the body, the knife, then Quinn’s grip on the constable. “Tell me he didn’t touch it.” “He didn’t.” “Good. Coffee?” Quinn waved the cup away. The dead man lay on his back beside the platform wall, one arm flung over his head. Blood spread beneath his shoulders and reached the edge of the yellow safety line. A narrow knife stood between his ribs. Its handle listed towards his left ear. Bell crouched, careful of the blood. “Stabbed here. Killer legged it down the tunnel. Uniform found a door open at the far end.” “Where are the footprints?” “On a platform this filthy? Take your pick.” Quinn looked along the yellow line. Scuffs crossed it in both directions. The constables had used the service stairs, as instructed, but the market traders had fled wherever they pleased. Behind Bell, a woman in a coat embroidered with tiny silver hooks argued with a scene-of-crime officer about a seized case of jars. “How many people came through before we sealed it?” “Twenty-three out. Six still hiding in the tunnels. One witness upstairs who claims he found the body.” “And that?” Quinn pointed to a small white object in Bell’s free hand. “Entry fee.” He showed her a disc of bone, polished thin. A hole pierced one edge. “The stairs end at a locked grille. Witness handed this to the first officer, said to press it against the lock. Worked, too. Nobody knows where the key goes.” Quinn turned towards the stairs. The grille had given three officers and a pathologist passage into an underground market concealed beneath Camden. Now the disc sat in Bell’s hand, and no one had thought to bag it. “Evidence,” she said. Bell glanced at his coffee, then at the token. “Right.” He gave it to the constable, who found a bag. Beyond the body, the old station curved into darkness. Closed stalls occupied the platform in untidy clusters. A butcher’s block held a silver pair of shears and a bowl of coarse salt. Farther along, an empty rail carriage served as a shop, its windows painted black. The air carried hot metal, incense and the sharp, sweet smell of blood. Quinn knelt beside the dead man. Middle-aged. Broad hands. A strip of grey cloth bound his throat, and three brass keys hung from a chain at his belt. His coat sat neatly buttoned over the knife. “No cut in the coat,” she said. Bell leaned closer. The blade had slipped between two buttons. Neither button hung loose. No tear marked the wool. “He opened his coat for the killer?” “With a knife coming at him?” “People do daft things when they know who’s holding it.” Quinn touched a gloved finger to the cloth beside the blade. The wool felt dry. Blood darkened the shirt beneath it, but nothing had soaked through. “Get the photographer over here.” “Already on his way.” “Have him take the coat before anyone unbuttons it.” A voice came from beyond the cordon. “If you take that coat off in here, cover his mouth first.” A woman with curly red hair stood between two constables. Round glasses had slid down her nose. She held a worn leather satchel against her stomach, its weight dragging at the strap. Quinn recognised Eva Kowalski from an interview eight weeks earlier. British Museum research assistant. Childhood friend of Aurora, a woman whose name kept surfacing near Quinn’s cases and vanishing before she could pin it to a charge. Bell rose. “She turned up with the witness. Says she can identify the dead man.” “I can identify the coat,” Eva said. “I’ve never seen his face.” “Start there,” Quinn said. “Market porter’s coat. The grey binding at the throat means he carried goods between stalls. They wear it so buyers know whom not to stop.” Quinn watched Eva tuck a curl behind her left ear. “You’ve been down here before.” “Yes.” “Did you arrive with the man who found him?” “No. He called me from the street. He knew I’d know how to get in.” “With the bone token.” Eva looked at the bag in the constable’s hand. “He had one?” Bell folded his arms. “Interesting answer.” “Keep the coat on him,” Eva said. “The knot at his throat comes undone first.” “You can explain that at the station.” Quinn turned back to the body. A narrow clean stripe marked the skin above the cloth binding. She lifted the edge of the collar with a fingertip. A second stripe crossed the man’s neck, darker and deeper, hidden beneath the grey cloth. “Tom. Look.” Bell bent beside her. The mark curved under the jaw and disappeared beneath the ear. “Strangled,” he said. “Before the knife went in. Get the pathologist back.” Bell called to an officer near the stalls. Quinn examined the dead man’s hands. Blood marked the left palm and the backs of three fingers. The right hand held nothing, though its fingers curled tight. She eased them apart. Green powder filled the creases. “Paint?” Eva pushed forwards. One constable held out an arm, but Quinn shook her head. “Stay outside the cordon. Tell me what it is.” Eva peered from where she stood. “Verdigris. Brass leaves that stain when it corrodes.” “There’s brass all over this market,” Bell said. “Not on his hands. Not fresh enough to crumble like that.” Quinn followed the dead man’s outstretched arm. His fingers pointed past the knife and the yellow line, towards a tiled wall. Old advertisements lay in fragments along it. Someone had scrubbed one stretch of tiles clean, leaving a pale rectangle amid decades of grime. Bell saw her looking. “We found a stall there. Traders pulled it apart before we got down. They took the stock.” “Why scrub the wall behind a stall?” “For the same reason they keep teeth in cages?” Quinn crossed to the tiles. Blood had reached the base of the wall, yet the grout above it remained clean. At shoulder height, a small green smear marked one white tile. She held her hand beside it. The smear matched the height of the dead man’s right hand if he had stood facing the wall. “What was on this stall?” she asked. Eva drew her satchel closer. “Compasses. Locks. Things that find doors.” Bell looked down the platform. “There’s your answer. He grabbed a compass when someone put a cord round his throat. Killer took it.” Quinn studied the smear. A curved scratch ran through its centre. Someone had dragged metal across the tile, then pressed it hard enough to leave a crescent in the glaze. “Whoever took it missed a piece.” She felt along the grout. Near the edge of the cleaned patch, something sharp caught her glove. A small brass compass sat wedged between two tiles. Verdigris coated its casing. Tiny protective sigils crowded its face, and its needle quivered beneath cracked glass. Eva gripped the cordon. “Don’t pull it free.” Bell glanced at her. “You’ve got a rule for everything down here.” “That’s a Veil Compass. A Shade artisan made it. It points to the nearest rift.” Quinn held still. The needle pointed into the wall. “Not north,” Bell said. “No.” Eva’s voice thinned on the word. She stepped back from the cordon. Quinn looked from the compass to the dead man. His right hand bore green powder. The knife sat clean in his coat. Someone had strangled him, put the coat back in order and placed the blade through the gap between its buttons. None of that explained the blood. She bent to inspect the wall at floor level. A thin red trail crossed the tiles there, but it ran down from the grout rather than up from the pool. “Tom. Bring me a torch.” Bell passed one over. Quinn angled its beam along the wall. Dark beads clung inside a vertical seam. Fresh blood had gathered between the tiles. It had not come from the man on the floor. A faint knock reached them. The constable nearest the stairs looked towards the tunnels. “Did you hear that?” Another knock. Three quick taps, then two. Quinn knew the pattern. DS Morris had used it on doors when his hands were full. Three years had passed since officers found his coat and blood in a locked service room, with no sign of the man himself. Bell heard it too. His mouth closed around whatever he had meant to say. “Get everyone off this platform,” Quinn said. He turned to the constables. “Stairs. Move.” The tiles knocked again, harder. The dead man’s pool of blood shivered. Quinn reached for the compass. Eva shouted from behind the cordon. “Leave it in the wall!” Quinn pulled it free. The needle spun. Every stall door along the platform slammed at once, and a crack split the white tiles from floor to ceiling. A hand thrust through the gap and seized Quinn’s left wrist, crushing the worn leather strap of her watch. From inside the wall, Morris said, “Harlow, get the knife out of him.”
created_at"2026-09-23T16:30:02.203Z" 9/23/2026, 4:30:02 PM
model"openai/gpt-6-sol-20260922"
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cancelledfalse
latency24272
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generation_time63480
tokens_prompt4492
tokens_completion2466
native_tokens_prompt4157
native_tokens_completion3056
native_tokens_completion_images0
native_tokens_reasoning1017
native_tokens_cached4154
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
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Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags12
adverbTagCount0
adverbTags(empty)
dialogueSentences65
tagDensity0.185
leniency0.369
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1601
totalAiIsmAdverbs0
found(empty)
highlights(empty)
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)
90.63% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1601
totalAiIsms3
found
0
word"stomach"
count1
1
word"weight"
count1
2
word"quivered"
count1
highlights
0"stomach"
1"weight"
2"quivered"
100.00% Cliché density
Target: ≤1 cliche(s) per 800-word window
totalCliches0
maxInWindow0
found(empty)
highlights(empty)
100.00% Emotion telling (show vs. tell)
Target: ≤3% sentences with emotion telling
emotionTells0
narrationSentences135
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences135
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences188
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1601
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions17
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions68
wordCount1149
uniqueNames12
maxNameDensity2.26
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn26
Tube1
Tom1
Bell18
Camden1
Eva11
Kowalski1
Museum1
Aurora1
Morris2
Blood4
persons
0"Harlow"
1"Quinn"
2"Tom"
3"Bell"
4"Eva"
5"Kowalski"
6"Morris"
7"Blood"
places(empty)
globalScore0.369
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences87
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1601
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences188
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs115
mean13.92
std13.76
cv0.988
sampleLengths
017
12
23
37
451
527
66
72
82
950
106
1117
124
138
1453
159
1617
1713
182
1914
2029
2137
223
239
241
2510
2659
2736
287
293
3016
317
326
3310
3426
355
364
379
387
3912
4032
4137
422
4313
4412
454
4625
4710
485
491
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences135
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs186
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences188
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1152
adjectiveStacks0
stackExamples(empty)
adverbCount18
adverbRatio0.015625
lyAdverbCount2
lyAdverbRatio0.001736111111111111
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences188
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences188
mean8.52
std5.43
cv0.638
sampleLengths
017
12
23
37
44
524
611
712
814
913
106
112
122
135
1417
1514
167
177
186
1917
204
218
226
236
2418
2523
269
2717
2813
292
309
315
3229
335
3417
3515
363
379
381
3910
409
418
4215
4314
4413
456
461
472
4819
498
73.40% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats2
diversityRatio0.44680851063829785
totalSentences188
uniqueOpeners84
0.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount0
totalSentences121
matches(empty)
ratio0
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount17
totalSentences121
matches
0"He took in the body,"
1"Its handle listed towards his"
2"He showed her a disc"
3"He gave it to the"
4"His coat sat neatly buttoned"
5"She held a worn leather"
6"She lifted the edge of"
7"She eased them apart."
8"His fingers pointed past the"
9"She held her hand beside"
10"She felt along the grout."
11"She stepped back from the"
12"His right hand bore green"
13"She bent to inspect the"
14"It had not come from"
15"His mouth closed around whatever"
16"He turned to the constables."
ratio0.14
42.64% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount101
totalSentences121
matches
0"Detective Harlow Quinn caught the"
1"The constable stepped back."
2"Someone had left a cage"
3"The teeth clicked against the"
4"DS Tom Bell ducked under"
5"He took in the body,"
6"Quinn waved the cup away."
7"The dead man lay on"
8"Blood spread beneath his shoulders"
9"A narrow knife stood between"
10"Its handle listed towards his"
11"Bell crouched, careful of the"
12"Quinn looked along the yellow"
13"Scuffs crossed it in both"
14"The constables had used the"
15"Quinn pointed to a small"
16"He showed her a disc"
17"A hole pierced one edge."
18"Quinn turned towards the stairs."
19"The grille had given three"
ratio0.835
41.32% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences121
matches
0"Now the disc sat in"
ratio0.008
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags12
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags11
fancyCount0
fancyTags(empty)
dialogueSentences65
tagDensity0.169
leniency0.338
rawRatio0
effectiveRatio0
89.3778%