Run: 2026-07-09-01KX418Y5QZ178E6YQ4DCYN5C0

Run Details

Duration:
30.8s
Cost:
$0.037335
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 slapped Detective Harlow Quinn across the face as she cut through the alley behind Greek Street, one hand braced against slick brick, the other clamped around her service torch. The man ahead of her wore a charcoal coat that hung to his knees and a cap pulled low. He moved with the city’s rainwater, quick through gaps, hard to pin down. Each time Quinn gained ground, he found another turn: beneath a scaffold, through a delivery yard, over a chain barrier that sent her boots skidding on wet concrete. “Stop!” Her voice cracked off the walls and drowned beneath tyres hissing over the road beyond. He glanced back. Streetlight caught a pale strip of cheek, a mouth drawn tight around something metallic. Then he vanished through the open gate at the far end of the alley. Quinn hit the gate a second later. It banged against its stop hard enough to shudder the railings. The street beyond lay empty except for black cabs, streams of water running along the kerb, and a couple huddled beneath a clear umbrella that had turned inside out in the wind. The suspect crossed the road without looking. A taxi tore past, horn blaring. He reached the pavement and plunged between a shuttered vape shop and a laundrette. Quinn followed. Her leather watch had stopped five minutes ago. She had looked at it beneath the awning of a closed newsagent after the call came through: anonymous tip, male suspect, carrying evidence linked to the disappearance of a young man from Camden. No name from the caller. No callback. Only a description, a location, and the clipped instruction that had sat wrong in her ear. He knows you’re looking. Now the second hand rested between twelve and one, immovable beneath the scratched crystal. The narrow passage spat her into another alley. Bins crowded one wall. Wet cardboard sagged in the gutters. The scent of fryer grease, drains, and soaked plaster filled her nose. A dark shape darted across the far opening. Quinn ran. Her right shoulder clipped a fire door. Pain shot down her arm. She ignored it and drove on, coat heavy with rain, breath scraping hot through her throat. Eighteen years in the Met had taught her how suspects ran. The desperate ones zigzagged. The cocky ones checked behind them. This one had picked a route in advance. He had wanted her off the main road. “Bad route, mate,” Quinn called. The man slowed near a brick archway, enough for her to see the back of his neck. There was a black mark below his left ear. Not a tattoo. It looked like a burn pressed into the skin: three hooked lines circling a dot. He turned his head. “Go back, Detective.” The voice carried no panic. No strain. Then he stepped through the archway. Quinn reached it and stopped. A metal staircase descended beneath street level, boxed in by rusted railings and old posters pasted over one another until they had become a single swollen skin. The top poster advertised a gig from 1998. Beneath its torn corner, a faded Underground roundel showed the name of a station closed decades before. No entry. The sign had lost most of its paint. Rain poured down the steps in narrow silver sheets, vanishing into darkness below. A green emergency lamp glowed at the first landing, though no power line ran to it. Beyond that, the darkness looked dense enough to touch. Quinn drew her phone. No signal. Of course. A sound drifted up the stairwell. Not footsteps. A low murmur, many voices layered together, then the sudden brittle clink of glass. Her radio hissed at her shoulder. “Quinn? Harlow, your location?” She thumbed the transmit button. “Pushing east from Greek Street. Suspect entered an abandoned station access near—” The radio shrieked. The noise punched through her skull. She pulled it away. The speaker spat a wet, garbled whisper. “—not bring iron—” Then silence. Quinn stared down the stairs. Three years earlier, DS Morris had walked into a boarded-up property in Wapping after a witness called about screams. He had radioed her once. His voice had carried the same static. Then the line went dead. They had found his warrant card in the river. Nothing else. A gust curled up from below. It smelt of incense, cold stone, and something sweet gone rotten. Quinn put the radio away. “Fine,” she muttered. “We’ll do this the hard way.” She descended. The steps narrowed after the first landing. Her torch beam picked out graffiti on tiled walls: names, declarations, crude drawings, and symbols scratched so deep they had cracked the glaze. Water ran past her boots in a black ribbon. At the bottom, a steel door stood open. The suspect’s coat had caught on a rough edge of metal. A thread of charcoal wool trembled in the draught. Quinn pinched it between gloved fingers, then let it go. Behind the door, an old ticket hall spread beneath a ceiling ribbed with iron. The station should have been dead. Instead, lanterns hung from the beams in coloured glass cages. Their light spilled over stalls made from railway luggage carts, timber crates, velvet curtains, and sections of old platform signage. The Veil Market. The name had appeared in witness statements she could never use. It had surfaced in the notebooks of fraudsters, smugglers, and a man who had vanished from a police interview room without opening the door. Every reference had been half-joke, half-threat. Find the Market if you want answers. Nobody ever wrote down how. A woman with a fox’s narrow face sold jars of teeth beside a man in a butcher’s apron arranging tiny bottles of blue flame. A teenager in a school blazer held out strings of black beads to a pair of customers whose shadows bent in the wrong direction. Something with too many joints crouched behind a curtain of chains and watched Quinn with yellow eyes. Nobody shouted. Nobody ran. They watched her arrive. Her badge felt heavier beneath her coat. A short man behind a stall of old books lifted a finger at her. “No constables.” “I’m not a constable.” “No police, then.” “That clears it up.” The man’s smile showed filed teeth. “Your kind bring paperwork. Paper burns.” Quinn stepped past him. Every instinct she had warned her to turn around. Call for backup. Mark the location. Secure the exits. But the rainwater had carried away her footprints, her radio had died, and the suspect had entered this place with enough confidence to leave his thread on the door for her to find. He expected the Market to stop her. She scanned the crowd. There. Charcoal coat. Moving along the far side of the ticket hall, shoulders hunched now, cap gone. He pushed through a curtain made from strips of dark red cloth. Quinn started after him. A hand caught her sleeve. “Detective Quinn.” Tomás Herrera stood beneath a hanging lamp, his olive skin washed gold and green by the glass. Rain had darkened his curls. He wore a black shirt with the sleeves rolled to his elbows, and blood marked the cuff of his right wrist. The scar along his left forearm stood pale against wet skin. His Saint Christopher medallion rested against his throat. Quinn looked at his hand until he released her. “You picked an odd place for a drink.” “You should leave.” “Good evening to you too.” Tomás glanced toward the red curtain. “Who did you follow?” “A man who knows my name.” “That described half the people down here.” “He had a burn below his ear. Three hooked lines around a dot.” The warmth left Tomás’s face. “Did he speak?” “He told me to go back.” “You should have listened.” Quinn shifted closer. “What is that mark?” “Something you didn’t need to see.” “You were a paramedic. You patched up people who didn’t fancy A&E. That made you an expert in vague answers?” Tomás’s jaw tightened. “It made me an expert in people bleeding out while others asked questions.” “You’re bleeding.” He looked down at his cuff as if he had forgotten it. “Not mine.” “Whose?” A harsh laugh came from behind the stall of blue flames. Someone smashed a bottle. The crowd flinched, then closed around the disturbance, hungry and silent. Tomás leaned closer. “The man you chased came here for a bone token. He bought one from a broker two hours ago, paid in silver and a fingernail. He wanted access to the lower platforms.” “There are lower platforms.” “Not on any map you carried.” Quinn looked at the red curtain. It shifted though no one passed through it. “What’s down there?” Tomás wiped rain from his brow with the back of his hand. “Things that charged more than money.” “That’s not an answer.” “No, it’s a warning.” Quinn drew her warrant card from inside her coat and held it where he could see it. “I had a missing person case. I had a suspect run when he saw me. He led me into your underground circus. If he goes below, I go below.” Tomás looked at the card. Then he looked at her watch. “You still wore that.” Quinn’s fingers closed over the worn leather strap. “What do you know about it?” “Nothing good.” “Careful, Herrera.” “I meant it.” His voice dropped. “I saw watches stop around certain patients. Clocks too. Heart monitors. One man woke up screaming that time had put its hand over his mouth.” Quinn held his gaze. “Who were your patients?” Tomás did not answer. From beyond the red curtain came the scrape of a train arriving. Quinn listened. No station had run trains through these tunnels for years. Yet wind rushed through the hall, strong enough to make the lantern flames bend flat. Somewhere below, metal screamed against metal. The sound rose through the floor and settled in her bones. The crowd backed away from the curtain. A woman at the nearest stall swept her jars of teeth beneath the counter. The butcher-aproned man covered his blue fire with a sheet of hide. Tomás caught Quinn’s arm again, harder this time. “Don’t go through there.” “You’ve got a better exit?” “Yes. Up those stairs, into the rain, and back to people who obeyed the laws of physics.” The red strips lifted. For a moment, Quinn saw a platform beyond them. Old tiles. A bench. A signal lamp glowing red at the edge of the dark. The suspect stood at the far end beside a tunnel mouth, one hand pressed to the burn beneath his ear. He looked straight at her. Then he raised something small and white between two fingers. A bone token. It had a hole drilled through its centre. A black cord looped through it. Fresh blood streaked one edge. The suspect smiled. Behind him, the tunnel breathed out a sound like a crowd whispering from underwater. Quinn pulled free of Tomás’s grip. “Stay here.” “Quinn—” She crossed the ticket hall.
created_at"2026-07-09T18:12:09.027Z" 7/9/2026, 6:12:09 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency494
moderation_latency(null)
generation_time30558
tokens_prompt1140
tokens_completion2965
native_tokens_prompt984
native_tokens_completion2325
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.037335
router(null)
provider_responses
0
endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_08b4192a4f48c04c016a4fe47919f8819385f1c75384d2b0d5"
is_byokfalse
latency199
model_permaslug"openai/gpt-5.6-terra-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620729-zRqFrXFj0kqCyc0fU44D"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620729-faO7yZlwr5kxWd04FHSJ"
upstream_id"resp_08b4192a4f48c04c016a4fe47919f8819385f1c75384d2b0d5"
total_cost0.037335
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags3
adverbTagCount0
adverbTags(empty)
dialogueSentences51
tagDensity0.059
leniency0.118
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1834
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)
75.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1834
totalAiIsms9
found
0
word"crystal"
count1
1
word"footsteps"
count1
2
word"whisper"
count1
3
word"silence"
count1
4
word"trembled"
count1
5
word"velvet"
count1
6
word"scanned"
count1
7
word"warmth"
count1
8
word"charged"
count1
highlights
0"crystal"
1"footsteps"
2"whisper"
3"silence"
4"trembled"
5"velvet"
6"scanned"
7"warmth"
8"charged"
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
narrationSentences170
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount0
narrationSentences170
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences218
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen33
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1834
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions53
wordCount1510
uniqueNames17
maxNameDensity1.59
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Tomás"
discoveredNames
Detective1
Harlow1
Quinn24
Greek1
Street1
Camden1
Met1
Underground1
Morris1
Wapping1
Veil1
Market3
Herrera1
Saint1
Christopher1
Tomás10
Rain3
persons
0"Harlow"
1"Quinn"
2"Morris"
3"Herrera"
4"Saint"
5"Christopher"
6"Tomás"
7"Rain"
places
0"Greek"
1"Street"
2"Camden"
3"Wapping"
globalScore0.705
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences106
glossingSentenceCount1
matches
0"looked like a burn pressed into the skin"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1834
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences218
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs141
mean13.01
std15.17
cv1.166
sampleLengths
030
160
21
315
43
528
618
759
82
98
1056
114
1214
1330
148
152
1657
178
185
1944
204
213
227
236
245
2552
262
278
2838
296
302
3122
326
334
345
3512
369
3711
383
392
405
4136
429
432
4417
455
469
472
4839
498
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences170
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs240
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences218
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1514
adjectiveStacks0
stackExamples(empty)
adverbCount32
adverbRatio0.021136063408190225
lyAdverbCount1
lyAdverbRatio0.0006605019815059445
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences218
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences218
mean8.41
std6.75
cv0.802
sampleLengths
030
119
213
328
41
515
63
714
814
97
1011
1132
127
136
1414
152
168
1733
185
192
2016
214
2214
238
244
256
2612
278
282
297
305
3116
3211
334
346
358
368
375
3817
399
403
4115
424
433
445
452
466
475
4827
498
50.00% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.3302752293577982
totalSentences218
uniqueOpeners72
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount8
totalSentences150
matches
0"Then he vanished through the"
1"Only a description, a location,"
2"Then he stepped through the"
3"Then the line went dead."
4"Instead, lanterns hung from the"
5"Then he looked at her"
6"Somewhere below, metal screamed against"
7"Then he raised something small"
ratio0.053
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount36
totalSentences150
matches
0"He moved with the city’s"
1"Her voice cracked off the"
2"He glanced back."
3"It banged against its stop"
4"He reached the pavement and"
5"Her leather watch had stopped"
6"She had looked at it"
7"He knows you’re looking."
8"Her right shoulder clipped a"
9"She ignored it and drove"
10"He had wanted her off"
11"It looked like a burn"
12"He turned his head."
13"Her radio hissed at her"
14"She thumbed the transmit button."
15"She pulled it away."
16"He had radioed her once."
17"His voice had carried the"
18"They had found his warrant"
19"It smelt of incense, cold"
ratio0.24
63.33% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount119
totalSentences150
matches
0"Rain slapped Detective Harlow Quinn"
1"The man ahead of her"
2"He moved with the city’s"
3"Each time Quinn gained ground,"
4"Her voice cracked off the"
5"He glanced back."
6"Streetlight caught a pale strip"
7"Quinn hit the gate a"
8"It banged against its stop"
9"The street beyond lay empty"
10"The suspect crossed the road"
11"A taxi tore past, horn"
12"He reached the pavement and"
13"Her leather watch had stopped"
14"She had looked at it"
15"He knows you’re looking."
16"The narrow passage spat her"
17"Bins crowded one wall."
18"The scent of fryer grease,"
19"A dark shape darted across"
ratio0.793
33.33% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences150
matches
0"Now the second hand rested"
ratio0.007
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount3
matches
0"Each time Quinn gained ground, he found another turn: beneath a scaffold, through a delivery yard, over a chain barrier that sent her boots skidding on wet conc…"
1"The street beyond lay empty except for black cabs, streams of water running along the kerb, and a couple huddled beneath a clear umbrella that had turned inside…"
2"It had surfaced in the notebooks of fraudsters, smugglers, and a man who had vanished from a police interview room without opening the door."
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags3
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags2
fancyCount1
fancyTags
0"she muttered (mutter)"
dialogueSentences51
tagDensity0.039
leniency0.078
rawRatio0.5
effectiveRatio0.039
91.8488%