Run: 2026-09-23-01M37HMC9AZZTT7S062Q0ATCX0

Run Details

Duration:
52.9s
Cost:
$0.026922
Provider:
OpenAI

Model input

System
You are an expert and award-winning novel writer in the dark Thriller 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="4417" name="Tomás Herrera" aliases="Tommy, Tomás, Herrera" pronouns="he/him" species="Human" storyRole="Support"> <eyeColor>warm brown</eyeColor> <hair>short curly dark brown</hair> <height>5'10"</height> <age>29</age> <skinTone>olive skin</skinTone> <scar>scar running along his left forearm from a knife attack</scar> <medallion>Saint Christopher medallion around his neck</medallion> <birthplace>Seville, Spain</birthplace> <description>A former paramedic who provides off-the-books medical care for the clique.</description> <backstory>Born in Seville, Spain. He moved to London to work for the NHS but lost his license after administering unauthorized treatments to supernatural patients.</backstory> </character> <location id="854" name="The Raven's Nest" aliases="the Nest, Raven, Silas' bar" realm="Earth"> <signColor>distinctive green neon sign above the entrance</signColor> <secretRoom>hidden back room accessible through a bookshelf, used for clandestine meetings</secretRoom> <description>A dimly lit bar in Soho, London. The walls are covered with old maps and black-and-white photographs.</description> </location> <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> </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 thriller genre. A detective is pursuing a suspect through rain-soaked city streets at night. The chase takes them from the street level down into an underground market. The detective must decide whether to follow the suspect into unfamiliar and potentially dangerous territory. 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
Tomás Herrera vaulted the bonnet of a stopped taxi, and Detective Harlow Quinn went over it after him. Her shoe slipped on the wet metal. She caught the windscreen wiper, tore it free, and landed in front of the driver’s open mouth. The horn blared behind her as Herrera cut across the road with a black medical case under one arm. “Met Police! Stop!” He looked back. Rain ran through his dark curls and down the side of his face. He shook his head once, as if she had asked him to do something stupid, then vanished between two shops. Quinn followed him into the gap. A bin struck the wall ahead of her. She cleared it, shoulder first, and came out beside a row of shuttered stalls. Herrera had gained thirty yards. He ran with a hitch in his left stride, but he knew where each alley led. She had already lost him twice since he left The Raven’s Nest. Both times, she had found him because he checked behind him too often. At the Soho bar, he had left through a bookshelf that opened into a hidden room. Twenty minutes later, Quinn had watched him emerge from a side door carrying the case. Fresh blood marked its handle. She had followed him north by car until he spotted her at a junction in Camden and ran. A man stepped out of a shop doorway and reached for her coat. Quinn drove the broken wiper against his wrist. He yelped and fell back. Something pale slipped from his fingers and struck the pavement with a dry click. She could have caught Herrera before the next corner. Instead, she stopped. The object was a small disc of bone, drilled near its edge. A black thread ran through the hole. Someone had carved a narrow arch on one face, and a number on the other: 17. The man lunged for it. Quinn stamped on his hand and picked up the disc. “Whose is this?” He stared past her, towards the corner Herrera had taken. “You shouldn’t have touched it.” “That’s not an answer.” “No.” He dragged his hand free and bolted into the shop. Quinn heard a lock turn. She pocketed the disc and ran. Beyond the corner, Camden’s crowded streets gave way to old brick arches and fenced-off ground. Water poured from a broken gutter. It struck the pavement hard enough to hide Herrera’s footsteps, but she caught a glimpse of his coat slipping through a gap in a hoarding. Quinn squeezed after him. A disused station entrance waited on the other side. Plywood covered half the sign. Beneath it, a flight of tiled steps descended into a throat of weak yellow light. Herrera stood at the top, breathing hard. His fingers pressed into the blood on the case handle. “You saw that man stop me,” Quinn said. “I saw him miss.” “Put the case down.” Herrera glanced at the stairs. Then at the disc in her hand. “That token isn’t yours.” “Neither is the blood on your case, unless there’s a reason you haven’t mentioned.” “There is. Come down and I’ll show you.” He took the first step. Quinn caught his sleeve. A scar ran the length of his left forearm, pale against his olive skin. He could have twisted away. He stayed where he was, watching her face. “You think I’ll follow you anywhere?” she said. “No. I think someone upstairs will come looking for the token. Look at your hand.” Rain had washed most of the blood from her knuckles. It had not touched the thin black line creeping up from the disc where it rested against her palm. Quinn dropped it. The line stopped moving. Below them, a bell rang once. Herrera flinched. He seized the token, wrapped it in his sleeve and pushed it back at her. “Keep hold of the thread. Not the bone.” “What happens if I don’t?” “You’ve already found out part of it.” He descended. Quinn followed, leaving a step between them. At the landing she looked back. The man from the shop stood behind the hoarding, holding his injured hand to his chest. He smiled when he saw her going down. The tiles changed colour as she followed Herrera deeper, from stained cream to a green so dark it drank the light. Someone had sealed the old ticket windows with brick. Beyond them, the stairwell bent sharply and opened onto a platform full of people. Quinn stopped. Canvas stalls ran along both sides of the abandoned tracks. Lamps burned inside jars without wicks or wires. A butcher weighed something wrapped in newspaper; it moved each time he added a weight. Beside him, a woman sold keys from hooks fixed to the ceiling. One key turned in its own lock, over and over, though no door hung there. Voices rose around her in English, Spanish, and languages she had never heard. The air carried frying onions, hot metal and the sweet, close smell of a dentist’s chair. Herrera held out the disc to a woman beside the stairs. She wore a dark coat and a brass chain looped through her fingers. “One entry,” he said. “She’s with me.” “One token, one person.” “She’ll take mine. I know the way.” The woman’s gaze moved to Quinn’s coat, then her boots, then her face. “She doesn’t.” Quinn showed her warrant card. The woman read it without taking it. “Put that away.” “I’m investigating a serious offence.” “That makes no difference to the count.” Herrera set down the case. For the first time since the chase began, he lifted its lid. Inside lay bloodied dressings, a roll of surgical tape and a clear bag of dark fluid. Beneath them, a child’s trainer, small enough to fit in Quinn’s palm. Its laces had gone stiff with blood. “Where’s the child?” Quinn asked. Herrera shut the lid. “That’s why I came.” “You could have said so upstairs.” “You had your warrant card out upstairs.” The woman with the chain held out her hand for the token. Herrera gave it to her. She drew a fingernail across the carved arch and looked at the man approaching from the far platform. Quinn recognised his coat before she recognised his face. The man from the shop had found another entrance. His wrist hung at an odd angle, and water dripped from his sleeves. “That belongs to me,” he said. The woman looked at the black line on Quinn’s palm. It had begun to climb again, though she no longer held the bone. “You followed him,” she said. “No. He followed us.” “He only needs to reach the turnstile. Then he can name who brought him in.” Herrera pulled Quinn by the elbow. They crossed the platform as the woman stepped in front of the man. He grinned at her and opened his injured hand. Something dark and slender moved beneath his skin. Quinn kept pace with Herrera past tables of bottled ash and trays of teeth. Heads turned towards her. A seller covered his goods with a cloth. Another raised a camera, saw her warrant card in her hand and lowered it. “You knew he’d come after the token,” she said. “I knew he’d come after you. I didn’t know he could get downstairs.” “What did you take from the Nest?” Herrera tightened his grip on the case. “A patient.” “That’s a shoe.” “A patient doesn’t always fit in a bag.” They reached a stall made from three hospital screens. Beyond it, an old service door stood ajar. A strip of harsh white light cut across the platform. Quinn heard metal instruments clatter inside, followed by a child’s cry. Herrera stopped so fast she nearly struck him. “Listen to me. Keep your hands off the beds. Don’t give anyone your full name. If you hear a voice you know, look at the speaker before you answer.” Quinn pulled free. “The child is in there?” “Yes.” “Then move.” Inside, the old staff room held two narrow beds and a stainless-steel trolley. A little girl lay on the first bed with both feet bare. Bloody prints marked the soles, though her legs showed no wounds. She gripped the sheet while a grey-haired woman held a stethoscope to her chest. The girl looked at Herrera. “You brought a policewoman.” “I brought someone who runs faster than I do.” Quinn went to the bedside. The child had a pulse. She had colour in her face. The trainer in Herrera’s case matched the one on her other foot, set beneath the bed. “What happened to her?” “She walked through a door that wasn’t there,” the grey-haired woman said. “Tomás pulled her back. Something kept her shadow.” Quinn looked down. The child’s shadow lay across the bed, but it pointed towards the open service door, away from the lamp. Her worn leather watch struck the bed rail as she checked the girl’s wrist. The watch had belonged to her for years. DS Morris had once complained that its ticking kept him awake on surveillance. Quinn lifted her hand from the rail. A voice came from the platform. “Harlow.” The child’s fingers locked around Quinn’s wrist. Herrera swung towards the door. “Harlow, don’t let them close it.” Quinn knew the voice. Three years had done nothing to soften its flat north London vowels. The grey-haired woman pulled the sheet over the child’s feet. “Get away from the entrance.” A shape crossed the strip of light. For an instant Quinn saw a man’s shoes, wet and polished, just as Morris had worn them to court. Herrera slammed the service door. The impact rattled the trolley. A hand struck it from the other side. “Harlow. He’s got the child.” The little girl began to shake her head. The handle turned. Herrera grabbed it with both hands and cried out. The metal left a black mark across his palms. Quinn seized the trolley and rammed it against the door, trapping the handle beneath its frame. On the platform, the bell rang again. This time every lamp in the room went out. The child’s grip tore free of Quinn’s wrist. A bare foot slapped the floor. In the dark, the door buckled inward, and Morris’s voice came from directly behind her. “Duck.” Quinn dropped. Something heavy swept over her head and smashed into the wall. The emergency light flickered on. The girl stood between the beds, staring at the door. Her shadow rose behind her, taller than the room, and reached past Quinn for the latch.
created_at"2026-09-23T16:29:55.382Z" 9/23/2026, 4:29:55 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency11575
moderation_latency(null)
generation_time52895
tokens_prompt4484
tokens_completion2623
native_tokens_prompt4132
native_tokens_completion2609
native_tokens_completion_images0
native_tokens_reasoning423
native_tokens_cached4129
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.0269218
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user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
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request_id"req-1790180995-e4fOIwRRUyPdBKmsfJUN"
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api_type"completions"
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upstream_id"resp_0c25766295e8093c016ab3fe8380dc87d186907c2882738dd1"
provider_responses
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id"resp_0c25766295e8093c016ab3fe8380dc87d186907c2882738dd1"
is_byokfalse
latency883
model_permaslug"openai/gpt-6-sol-20260922"
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cache_discount0.0074322
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences52
tagDensity0.154
leniency0.308
rawRatio0
effectiveRatio0
97.15% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1756
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
88.61% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1756
totalAiIsms4
found
0
word"footsteps"
count1
1
word"weight"
count1
2
word"pulse"
count1
3
word"flickered"
count1
highlights
0"footsteps"
1"weight"
2"pulse"
3"flickered"
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
narrationSentences155
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences155
filterMatches
0"watch"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences199
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
totalWords1756
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions10
unquotedAttributions0
matches(empty)
39.81% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions70
wordCount1452
uniqueNames13
maxNameDensity2.2
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Herrera23
Detective1
Harlow1
Quinn32
Raven1
Nest1
Soho1
Camden2
Rain2
English1
Spanish1
Morris3
London1
persons
0"Herrera"
1"Harlow"
2"Quinn"
3"Raven"
4"Camden"
5"Rain"
6"Morris"
places
0"Soho"
1"English"
2"London"
globalScore0.398
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences112
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1756
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences199
matches
0"complained that its"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs110
mean15.96
std15.3
cv0.958
sampleLengths
018
143
23
336
474
554
613
727
812
935
105
1110
123
1310
145
154
161
1721
1846
194
2046
218
224
234
2412
254
2614
278
285
2931
308
3115
3236
336
3417
358
365
377
3839
3944
402
4160
4229
4324
447
454
467
4713
482
495
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences155
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs245
matches
0"was, watching"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount1
flaggedSentences1
totalSentences199
ratio0.005
matches
0"A butcher weighed something wrapped in newspaper; it moved each time he added a weight."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1457
adjectiveStacks1
stackExamples
0"harsh white light cut"
adverbCount29
adverbRatio0.01990391214824983
lyAdverbCount3
lyAdverbRatio0.002059025394646534
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences199
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences199
mean8.82
std4.98
cv0.564
sampleLengths
018
17
217
319
43
53
613
720
86
98
1014
115
1216
1312
1413
1516
1615
175
1818
1913
208
215
2214
239
243
2512
267
2716
285
2910
303
3110
325
334
341
3510
365
376
3815
396
4025
414
429
435
4415
457
4610
478
484
494
47.99% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.2914572864321608
totalSentences199
uniqueOpeners58
46.30% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences144
matches
0"Instead, she stopped."
1"Then at the disc in"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences144
matches
0"Her shoe slipped on the"
1"She caught the windscreen wiper,"
2"He looked back."
3"He shook his head once,"
4"She cleared it, shoulder first,"
5"He ran with a hitch"
6"She had already lost him"
7"She had followed him north"
8"He yelped and fell back."
9"She could have caught Herrera"
10"He stared past her, towards"
11"He dragged his hand free"
12"She pocketed the disc and"
13"It struck the pavement hard"
14"His fingers pressed into the"
15"He took the first step."
16"He could have twisted away."
17"He stayed where he was,"
18"It had not touched the"
19"He seized the token, wrapped"
ratio0.229
36.39% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount122
totalSentences144
matches
0"Tomás Herrera vaulted the bonnet"
1"Her shoe slipped on the"
2"She caught the windscreen wiper,"
3"The horn blared behind her"
4"He looked back."
5"Rain ran through his dark"
6"He shook his head once,"
7"Quinn followed him into the"
8"A bin struck the wall"
9"She cleared it, shoulder first,"
10"Herrera had gained thirty yards."
11"He ran with a hitch"
12"She had already lost him"
13"Both times, she had found"
14"She had followed him north"
15"A man stepped out of"
16"Quinn drove the broken wiper"
17"He yelped and fell back."
18"Something pale slipped from his"
19"She could have caught Herrera"
ratio0.847
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences144
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences68
technicalSentenceCount1
matches
0"It struck the pavement hard enough to hide Herrera’s footsteps, but she caught a glimpse of his coat slipping through a gap in a hoarding."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags8
fancyCount1
fancyTags
0"haired woman said (hair say)"
dialogueSentences52
tagDensity0.154
leniency0.308
rawRatio0.125
effectiveRatio0.038
88.3415%