Run: 2026-03-06-01KK1HQWD2WFY11Y4KZ4KBT11T

Run Details

Duration:
1m 13s
Cost:
$0.042255
Provider:
OpenAI

Model input

System
You are an expert fiction writer. Always keep the following rules in mind: - Write in past tense and use General English spelling, grammar, and colloquialisms/slang. - Write in active voice - Always follow the "show, don't tell" principle. - Avoid adverbs and cliches and overused/commonly used phrases. Aim for fresh and original descriptions. - Convey events and story through dialogue. - Mix short, punchy sentences with long, descriptive ones. Drop fill words to add variety. - Skip "he/she said said" dialogue tags and convey people's actions or face expressions through their speech - Avoid mushy dialog and descriptions, have dialogue always continue the action, never stall or add unnecessary fluff. Vary the descriptions to not repeat yourself. - Put dialogue on its own paragraph to separate scene and action. - Reduce indicators of uncertainty like "trying" or "maybe" When writing text: - NEVER conclude the scene on your own, follow the beat instructions very closely. - NEVER end with foreshadowing. - NEVER write further than what I prompt you with. - AVOID imagining possible endings, NEVER deviate from the instructions. - STOP EARLY if the continuation contains what was required in the instructions. You do not need to fill out the full amount of words possible.
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> Continue the story using 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
Rain needled across Soho and turned the pavement slick as oil. Green light from the Raven’s Nest bled over the street, a sick stain on puddles and black cab roofs. Detective Harlow Quinn stood under the awning opposite the bar, coat dark with water, one hand inside her pocket around the little voice recorder she had switched off ten minutes earlier. Her brown eyes stayed on the entrance. Her leather watch strap had soaked through. The second hand kept moving. Two in the morning. Last call had spilled out and gone. Smokers had crushed cigarettes into the gutter and vanished into side streets. The green sign hummed above the door. Old brick, steamed windows, no clear line of sight inside. She had watched the place for six nights and learned the rhythm. Students came in loud and left louder. Office workers drifted through at seven. After midnight, the real traffic began. Men and women on their own. No taxis. No hanging about. They knocked once, walked in, and stayed until the hour when most of London curled inward and shut its eyes. Quinn checked the photo on her phone again. Grainy. A man in profile beneath a station camera. Dark coat. Sharp nose. A canvas satchel slung across his chest. Elias Vale, known broker, suspected runner, no fixed address. Linked to three violent robberies, one missing witness, and a morgue attendant who had burned to death in a locked room. The last lead had pointed here. The door opened. A man stepped out beneath the green neon. Dark coat. Canvas satchel. He paused with his face turned to the rain as if testing it. The light painted one cheek green, one black. He started east without an umbrella, quick and economical, head down. Quinn pushed off the wall. She crossed through traffic between a bus and a delivery van, caught the far pavement, and fell in twenty yards behind him. Her shoes slapped through thin water. The city held that late-night mix of noise and vacancy, sirens somewhere far off, music leaking from basement clubs, scaffolding creaking in the wind. Vale cut across Greek Street. Quinn picked up speed. He looked back once. Not long. Long enough. “Damn.” He broke into a run. Quinn ran after him, coat flaring open, shoulder holster pressing hard against her ribs. Her breath came steady. Military precision lived in her body now whether she liked it or not. Years in pursuit had shaved waste from her movements. Heel, toe, drive. Don’t fight the slick ground. Let the body float over it. Vale vaulted a stack of tied rubbish bags outside a restaurant. A fox burst from behind them and shot into the alley. Quinn clipped the corner of a bin, caught herself on wet brick, and kept going. “Police!” The word bounced off shuttered shopfronts and flew nowhere useful. Vale darted into an alley between a tattoo parlour and a closed bakery, narrow as a throat and slick with old grease and rain. Quinn followed. The alley stank of yeast, urine, and damp cardboard. Fire escapes zigzagged overhead. Water poured from a cracked gutter and struck the ground with the force of thrown gravel. At the far end, Vale hit the street again and veered south towards Charing Cross Road. He moved like he knew the route already. Not blind panic. Planned retreat. Quinn’s jaw tightened. She had seen that before. Morris had chased a witness through Deptford three years ago. Narrow lanes. Sudden turns. A route drawn in advance by somebody who understood fear and how to use it. She had found Morris an hour later with his service weapon in his hand and his face frozen around something no report had managed to name. Vale slammed through a knot of people outside a kebab shop. One man spun round, swearing, skewer sauce bright on his cuff. “Watch where—” Quinn shoved through after him. “Police. Move.” A woman in silver heels lurched back against the steamed window. Quinn caught a glimpse of her own reflection as she passed: cropped salt-and-pepper hair plastered to her skull, sharp jaw set hard, eyes fixed and narrow. She looked like the sort of woman people lied to only once. Vale hit the crossing against the lights. Tyres screamed. A black cab slewed sideways, horn blaring. Vale slapped a hand on the bonnet, rolled off it, and sprinted on. Quinn darted between halted cars. Rain glittered in the headlamps. He reached the mouth of an underground station entrance that had been closed for years. Camden side branch, if the briefing notes in her memory still held. Metal shutters had once sealed it. Tonight one side stood half open, chained back. No TfL signage lit above it. Only darkness descending under a cracked arch and a smear of old posters lifting from the walls. Vale vanished down the steps. Quinn stopped at the top. Rain hammered the pavement around her. Water streamed down the stairwell into the dark. The station breathed up a smell that did not belong to damp concrete alone. Metal. Spice. Rotting flowers. Hot wiring. Incense. Blood, faint and iron-rich under the rest. A motorbike screamed past behind her. Somewhere nearby, a bottle smashed. She drew a breath and touched the recorder in her pocket, then the warrant card tucked inside her coat, then the grip of her pistol. Procedure lined itself up in her head. Call it in. Request support. Secure the exit. Wait. She stared into the stairwell. From below came voices. Not one or two. Dozens. Trading, arguing, laughing. A market cadence, brisk and hungry. There was music too, thin and warped as if dragged through old wires. Light moved down there, amber and blue and a red pulse that strobed against the tunnel wall. Unfamiliar and potentially dangerous territory, her superintendent would have called it. Unauthorised entry into a site connected to organised crime. Do not proceed alone. Then she pictured Vale slipping through a crowd and out another exit with the satchel still across his chest. Another witness gone. Another body later. Another report written around a hole in the middle. Quinn pulled out her phone and dialled. The line crackled. One bar. Then none. “Of course.” She jammed the phone away, unbuttoned her coat for easier movement, and went down. The station swallowed the street at once. Rain faded to a distant drumming above. The steps were slick with run-off, old leaves plastered to the concrete. Quinn kept one hand near the wall and the other close to her weapon. Posters clung to the tiles in strips: theatre adverts, public health campaigns, a smiling mayor from some election long dead. Someone had painted symbols over them in white chalk and rust-red paint, loops and hooks and jagged crowns. At the first landing she heard the market clearly. She descended the last flight and stepped into a ticket hall that should have been dark and derelict. Instead it blazed. Stalls filled the old concourse in packed rows beneath cracked departure boards. Extension leads snaked across the floor like black roots. Strings of bare bulbs hung from turnstiles wrapped in red cloth. Smoke drifted from braziers made out of oil drums. People moved shoulder to shoulder under the flaking ceiling: men in expensive coats, women with market baskets, teenagers in school blazers, old women with shopping trolleys, figures whose faces stayed hidden under hoods and hats and veils. The station map behind the ticket windows had been covered by pinned scraps of parchment and yellowing cards, each marked with prices or names. The Veil Market. Quinn did not know the term yet, not properly, but the place announced itself with the confidence of something old and well used. On one stall lay teeth sorted by size into velvet trays. Another sold stoppered vials of liquids that glowed through brown glass. An elderly man in a butcher’s apron chopped at something scaled on a block of ice. A child in a padded coat offered little carved tokens from a biscuit tin, bone-white and polished smooth. Nobody here looked surprised by anything. Several looked at Quinn. Police training told her to scan hands, exits, choke points. Her eyes moved from stairwells to tunnel mouths to the rusting gate beyond the ticket barriers. One obvious exit left. Two less obvious. Crowd density high. Surveillance impossible. Ambush easy. And there, thirty yards ahead, Vale drove through the bodies, using his shoulders and elbows, headed for the old northbound platform. The satchel bounced against his hip. Quinn moved. People blocked her path at once. Not by accident. A broad woman in a fur-collared coat shifted her trolley across Quinn’s route. Two men carrying a crate stepped from nowhere and forced her sideways. “Out of the way.” The broad woman looked Quinn up and down, took in the wet coat, the hard stare, the official shoes. “You’re lost, love.” Quinn flashed her warrant card for half a second. “Metropolitan Police.” The woman snorted. “Then you’re very lost.” Vale glanced back from the mouth of the platform tunnel. He saw the delay and smiled, small and ugly. Then he disappeared down the stairs. Quinn shoved the trolley aside. The broad woman grabbed her sleeve. “You don’t push me.” Quinn twisted free. “You don’t obstruct police business.” A few heads turned. The nearest conversations thinned. The market did not stop, but a current moved through it, watchful and sharp. From behind a stall stacked with old cameras and watches, a man with short curly dark brown hair leaned forward. Warm brown eyes. Olive skin. A Saint Christopher medallion flashed at his throat when the light caught it. His left forearm showed pale against rolled sleeves where a scar ran from wrist towards elbow. “Detective.” Quinn stopped for a fraction. Tomás Herrera wiped his hands on a rag already stained through with something dark. He stood behind a table laid out with bandages, ampoules, syringes, brown bottles, a blood pressure cuff that had seen better decades. Not a trader, then. A patch-up man. He looked at her like he recognised trouble and had no wish to embrace it. “You shouldn’t be here.” “Then point me to the exit he’s heading for.” Tomás glanced towards the platform where Vale had gone, then back at her. “The man with the satchel.” “You know him?” “I knew his shoulder from the way he shoved that woman.” Tomás folded the rag and set it aside. “If he ran for the northbound tunnel, he wasn’t heading for an exit.” “Good. That saves me a walk.” Tomás came round the side of the stall. “Listen to me. That platform doesn’t work like your station map. People go down there when they’ve paid for things they shouldn’t touch. Or when they owe. Or when somebody wants them unseen.” Quinn held his gaze. “You run an illegal surgery in a buried station and you’re giving me health and safety advice.” A flicker crossed his face, not offence, not quite amusement. “I’m giving you useful advice.” “What’s in the tunnel?” Tomás looked past her at the crowd gathering itself into rings of interest. “People who won’t care about your badge.” Quinn had heard that line in warehouses, pubs, farmyards, terraces with machetes behind the door. It never changed much. Neither did her answer. “They care when I start dragging them into daylight.” She started for the platform stairs. Tomás caught up and lowered his voice. “Detective.” She kept moving. “If you go down there alone, keep to the left wall.” That stopped her. “Why?” “Because the right side drops.” “Drops where?” He gave a small, tired look that sat badly on a face not yet thirty. “You’ll see.” A shout rose from the platform below. Metal clanged. Then came a sound Quinn felt before she named it, a raw animal bellow with pain threaded through it. The crowd around the concourse pretended not to hear. Quinn looked down the stairs. Warm light flickered on tunnel tiles. Shadows crossed it fast. Tomás touched her sleeve once, light but urgent. “You still have a choice at the top of those steps.” Quinn looked at his hand until he withdrew it. Then she looked at the tunnel mouth where Vale had vanished, at the market in full swing behind her, at the old station remade into something that had grown beneath the city without permission and without fear. Rainwater dripped from the hem of her coat onto the cracked tiles. She set one foot on the first stair to the platform and listened to the bellow roll through the tunnel again.
created_at"2026-03-06T12:25:14.409Z" 3/6/2026, 12:25:14 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency402
moderation_latency(null)
generation_time72868
tokens_prompt1140
tokens_completion3310
native_tokens_prompt984
native_tokens_completion2653
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.042255
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_0c6d1216a17bf05d0169aac7aa76388190bdf72047c322909d"
is_byokfalse
latency170
model_permaslug"openai/gpt-5.4-20260305"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1772799914-QoTeKK6D0od7RLSagf0V"
upstream_id"resp_0c6d1216a17bf05d0169aac7aa76388190bdf72047c322909d"
total_cost0.042255
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags1
adverbTagCount0
adverbTags(empty)
dialogueSentences32
tagDensity0.031
leniency0.063
rawRatio0
effectiveRatio0
97.62% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount2098
totalAiIsmAdverbs1
found
0
adverb"very"
count1
highlights
0"very"
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)
88.08% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount2098
totalAiIsms5
found
0
word"lurched"
count1
1
word"pulse"
count1
2
word"velvet"
count1
3
word"flicker"
count1
4
word"flickered"
count1
highlights
0"lurched"
1"pulse"
2"velvet"
3"flicker"
4"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
emotionTells1
narrationSentences215
matches
0"looked surprised"
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount1
narrationSentences215
filterMatches
0"watch"
hedgeMatches
0"managed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences246
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen37
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords2098
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
50.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions81
wordCount1908
uniqueNames25
maxNameDensity1.47
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Soho1
Raven1
Nest1
Harlow1
Quinn28
London1
Vale14
Greek1
Street1
Charing1
Cross1
Road1
Deptford1
Morris2
TfL1
Veil1
Market1
Saint1
Christopher1
Herrera1
Tomás7
Rain4
Two3
One3
Metal3
persons
0"Nest"
1"Harlow"
2"Quinn"
3"Vale"
4"Morris"
5"Saint"
6"Christopher"
7"Herrera"
8"Tomás"
9"Rain"
10"Metal"
places
0"Soho"
1"Raven"
2"London"
3"Greek"
4"Street"
5"Charing"
6"Cross"
7"Road"
8"Deptford"
globalScore0.766
windowScore0.5
93.18% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences132
glossingSentenceCount3
matches
0"as if testing it"
1"looked like the sort of woman people lied"
2"not quite amusement"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches1
per1kWords0.477
wordCount2098
matches
0"not properly, but the place announced itself with the confidence of something"
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences246
matches
0"heard that line"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs105
mean19.98
std23.05
cv1.154
sampleLengths
080
1102
264
33
444
55
652
75
84
98
101
115
1254
1337
141
1510
1655
1729
183
1960
2022
212
225
232
2449
2539
2664
275
285
2942
3011
3141
325
3348
3424
3534
367
377
382
3914
4078
419
4221
43102
443
4579
466
474
4840
4927
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences215
matches
0"been closed"
1"been covered"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs300
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences246
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1917
adjectiveStacks1
stackExamples
0"pressing hard against her"
adverbCount51
adverbRatio0.026604068857589983
lyAdverbCount9
lyAdverbRatio0.004694835680751174
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences246
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences246
mean8.53
std6.77
cv0.794
sampleLengths
011
119
231
37
47
55
64
77
812
97
1010
1112
127
136
146
156
162
173
1820
198
201
218
222
232
247
259
2621
276
283
298
302
312
3213
338
3411
355
3622
376
3824
395
404
414
422
432
441
455
4614
474
4813
499
69.65% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.4349593495934959
totalSentences246
uniqueOpeners107
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount7
totalSentences187
matches
0"Only darkness descending under a"
1"Somewhere nearby, a bottle smashed."
2"Then she pictured Vale slipping"
3"Instead it blazed."
4"Then he disappeared down the"
5"Then came a sound Quinn"
6"Then she looked at the"
ratio0.037
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences187
matches
0"Her brown eyes stayed on"
1"Her leather watch strap had"
2"She had watched the place"
3"They knocked once, walked in,"
4"He paused with his face"
5"He started east without an"
6"She crossed through traffic between"
7"Her shoes slapped through thin"
8"He looked back once."
9"He broke into a run."
10"Her breath came steady."
11"He moved like he knew"
12"She had seen that before."
13"She had found Morris an"
14"She looked like the sort"
15"He reached the mouth of"
16"She drew a breath and"
17"She stared into the stairwell."
18"She jammed the phone away,"
19"She descended the last flight"
ratio0.16
77.65% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount143
totalSentences187
matches
0"Rain needled across Soho and"
1"Detective Harlow Quinn stood under"
2"Her brown eyes stayed on"
3"Her leather watch strap had"
4"The second hand kept moving."
5"Smokers had crushed cigarettes into"
6"The green sign hummed above"
7"She had watched the place"
8"Students came in loud and"
9"Office workers drifted through at"
10"Men and women on their"
11"They knocked once, walked in,"
12"Quinn checked the photo on"
13"A man in profile beneath"
14"A canvas satchel slung across"
15"Elias Vale, known broker, suspected"
16"The last lead had pointed"
17"The door opened."
18"A man stepped out beneath"
19"He paused with his face"
ratio0.765
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences187
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences77
technicalSentenceCount3
matches
0"Linked to three violent robberies, one missing witness, and a morgue attendant who had burned to death in a locked room."
1"He stood behind a table laid out with bandages, ampoules, syringes, brown bottles, a blood pressure cuff that had seen better decades."
2"Then she looked at the tunnel mouth where Vale had vanished, at the market in full swing behind her, at the old station remade into something that had grown ben…"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags1
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
92.3392%