Run: 2026-07-09-01KX40VT9W8H3CQAT77QSE77A5

Run Details

Duration:
30.3s
Cost:
$0.036255
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 hammered the pavement outside the Raven’s Nest and turned Soho’s gutters into black ribbons. Green neon bled across the wet street from the bar sign, breaking apart beneath the tyres of passing cabs. Detective Harlow Quinn stood under the awning with one hand inside her coat, fingers curled around the phone in her pocket. Her cropped hair lay dark against her scalp. Water ran off the hard line of her jaw. Across the road, a man in a tan jacket slipped from the mouth of an alley. He kept his head down. He walked fast, but not fast enough to look hunted. Quinn watched him cross through the traffic. A bus dragged its red bulk between them. When it moved on, the man had reached the far pavement and turned north. “Control, this is Quinn. I’ve got eyes on Danner. Soho, outside the Raven’s Nest. Male, late thirties, tan jacket, grey cap.” Static chewed at her words. “Detective Quinn, repeat last.” “He’s moving north on Dean Street.” The man glanced over his shoulder. Quinn stepped from beneath the awning. Danner saw her. His shoulders locked. Then he ran. “Danner!” He cut through a gap between parked delivery vans, shoes spraying water behind him. Quinn crossed without looking at the headlights bearing down on her. A horn blasted. A taxi missed her hip by inches, its wing mirror clipping her coat. “Bloody hell!” She ran harder. Danner reached the corner and swung right. Quinn followed, leather soles striking slick stone. The city narrowed around her: shuttered shops, bins swollen with cardboard, pub windows glowing amber behind steamed glass. Somewhere a bass line thudded beneath the rain. Danner vaulted a stack of crates outside a restaurant. Quinn planted one hand on the top crate and cleared it. Her left wrist struck the wood. The leather strap of her watch caught, then tore free with a snap. She did not stop for it. The man had a lead of twenty yards. He looked back again, face pale under his cap, and pulled something from inside his jacket. “Don’t.” Danner flung the object behind him. It hit the ground and burst. White dust swept over the pavement. Quinn threw up an arm. The powder stung her eyes through the rain. It smelled like old pennies, burnt hair, and the stone floor of a crypt. A woman under a restaurant awning screamed. The streetlamp above Quinn flared blue. Every window along the block flashed with the same cold colour. For one beat, the rain stopped in the air around her, each drop suspended like a nail. Then the world lurched back into motion. Danner had vanished around the next corner. Quinn wiped her eyes with the heel of her palm and kept running. “Control, I need units at—” Her radio spat a burst of static so loud it made her teeth ache. Under it, another voice leaked through. “...don’t go down there, Harlow…” She stopped in the middle of the pavement. The voice had belonged to DS Morris. Three years gone. Three years under the ground in a disused service tunnel at King’s Cross, his torch found smashed beside a wall slick with blood that had not matched any human record in the system. Rain struck her face. A cyclist swore as he dodged around her. Quinn raised the radio to her mouth. “Control, identify that transmission.” “Detective Quinn, your signal’s breaking up. Confirm your location.” Danner’s footsteps splashed somewhere ahead. Quinn lowered the radio and ran. He had gone through a narrow passage between a tattoo parlour and a boarded-up off-licence. The passage sloped down, brick walls sweating on either side. Graffiti layered the walls in colours dulled by rain. Quinn caught sight of Danner at the far end, pushing through a rusted gate. The gate slammed shut behind him. She reached it moments later. A chain hung loose from the latch. Beyond the gate lay a small concrete yard, fenced in by brick and corrugated metal. A faded Underground roundel had been painted over on the wall, though the red circle still showed through in places. Danner stood at the opposite end beside a steel door set into the bricks. He did not pull a key from his pocket. He held out his hand. A figure emerged from the shelter of an old loading bay. Long coat. Hood pulled low. Their gloved hand placed something in Danner’s palm. The token looked like a thumb bone. Quinn’s breath caught. Danner pressed it to a shallow hollow in the steel door. Locks clattered inside the wall. The door opened inward, spilling yellow light over him. “Danner!” He twisted around. Rain streamed off the brim of his cap. His eyes met hers across the yard. “You should’ve stayed with the dead cop.” The steel door began to close. Quinn shoved through the gate. The hooded figure moved first. A hand came up from beneath the coat holding a compact pistol fitted with a suppressor. Quinn dropped behind a concrete barrier as the shot cracked against the rain. Brick dust burst over her shoulder. “Met Police! Drop it!” Another shot punched into the barrier. Danner backed through the doorway. Quinn drew her own weapon. Her pulse beat in her forearms, fast and exact. She leaned out, fired once at the hooded figure’s leg. The figure jerked aside. Her round struck the metal doorframe and sparked. The hooded figure retreated through the door. Quinn sprinted across the yard before it could shut. A third shot cut past her ear. She hit the edge of the steel door with both hands and forced herself through. The door slammed against her back. Darkness swallowed her. The noise of rain vanished. Quinn stood still, gun raised, breathing through her nose. Water dripped somewhere ahead. Not rain. Slow and measured. A weak bulb flickered above a tiled corridor. The tiles had once been cream. Soot and age had stained them the colour of teeth. Old posters peeled from the walls: wartime recruitment slogans, adverts for cigarettes, a map of Tube lines that no longer existed. The air carried incense, damp concrete, and a sweet rot beneath both. Her radio crackled. “Quinn? Detective Quinn, respond.” She pressed the transmit button. “Control, I’m below street level. Unmarked access point off Dean Street. I require armed support.” The radio gave one dry hiss, then died. She checked the display. No signal. No battery warning. Just a black screen. A metallic clink echoed from deeper in the tunnel. Quinn moved forward. Her shoes made almost no sound on the wet tiles. The corridor bent left. Old station signs appeared in the wall, their lettering obscured by thick strips of black paint. A barred ticket booth sat ahead, its glass fractured in a spiderweb pattern. Beyond it, stairs led down. Voices rose from below. Not station noise. No train brakes, no announcements, no crowds rushing for platforms. These voices came in low bargains and sharp arguments. Glass chimed. A child laughed once, then stopped. Quinn reached the top stair and looked down. The abandoned station opened beneath her in a cavern of dirty yellow lights and hanging cables. Stalls crowded the old platform, built from railway carts, butcher’s hooks, folding tables, and wooden cases stamped with foreign shipping marks. Sheets of plastic partitioned some booths. Others displayed their stock in the open. Jars held insects with human fingers. A woman in a red veil weighed blue powder on antique scales. A broad man with antlers curling from his temples argued with a boy whose eyes reflected silver. Bottles of dark liquid floated in a basin without touching one another. A cage near the far wall rattled beneath a blanket. Danner pushed through the market crowd, tan jacket visible for a moment between a stall selling tarnished rings and another stacked with animal skulls. Quinn stepped back into the shadows. She had spent eighteen years learning how criminals built worlds inside London. Back rooms. Warehouses. club basements. Places where cash shifted hands and men who smiled for cameras ordered somebody beaten in an alley. This place made those rooms look honest. At the foot of the stairs, a wiry woman in a patched military coat looked up. Her face had been tattooed from temple to chin with tiny black letters. “No badge work down here.” Quinn kept her weapon close to her thigh. “I’m pursuing an armed suspect.” “You brought a gun into the Market?” “He brought one first.” The woman’s gaze settled on Quinn’s police ID, then travelled to the stairwell behind her. “You had a bone token?” “No.” “That door did not open for you.” “It opened for him.” “Then follow him back out.” A heavy shape shifted beneath the blanket in the cage. Something wet dragged across the bars. Quinn saw Danner again. He had reached the far end of the platform, where an old maintenance tunnel yawned behind a curtain of hanging chains. The hooded shooter stood beside him, one hand pressed to their thigh. Blood darkened their coat. Danner looked straight at Quinn. He smiled. Then he disappeared through the chains. The tattooed woman caught Quinn’s sleeve. “You crossed the threshold without invitation. That carries a price.” Quinn looked down at the hand on her coat. “Take it off.” The woman’s grip tightened. “Prices got paid.” Quinn’s gaze moved past her, across the crowded platform, to the black maintenance tunnel where Danner had gone. The case file waited in her mind: missing persons from Camden, bodies without blood, Morris’s final call buried in corrupted recordings, Danner’s name surfacing beside every dead end. A man at a nearby stall watched her with warm brown eyes. Short dark curls escaped beneath his hood. A Saint Christopher medallion rested against his throat. Tomás Herrera. Quinn had seen him in surveillance photographs outside clinics that did not exist on any register. He looked from her gun to the tunnel and gave one short shake of his head. “You went in there, detective, you did not get police rules.” Quinn pulled free of the tattooed woman’s grip. “Then I’d use mine.” She started down the stairs.
created_at"2026-07-09T18:04:59.077Z" 7/9/2026, 6:04:59 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1763
moderation_latency(null)
generation_time29968
tokens_prompt1140
tokens_completion2903
native_tokens_prompt984
native_tokens_completion2253
native_tokens_completion_images0
native_tokens_reasoning108
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"
usage0.036255
router(null)
provider_responses
0
endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_0c54a411e227f73a016a4fe2cb28c88197a7623ee6d7225498"
is_byokfalse
latency258
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-1783620299-vrwQo70A6tfEgs4E1PS4"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620299-WG5vM1ltLDxEQtg3Sc1s"
upstream_id"resp_0c54a411e227f73a016a4fe2cb28c88197a7623ee6d7225498"
total_cost0.036255
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
totalTags0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1689
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)
79.28% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1689
totalAiIsms7
found
0
word"lurched"
count1
1
word"footsteps"
count1
2
word"pulse"
count1
3
word"measured"
count1
4
word"flickered"
count1
5
word"echoed"
count1
6
word"fractured"
count1
highlights
0"lurched"
1"footsteps"
2"pulse"
3"measured"
4"flickered"
5"echoed"
6"fractured"
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
narrationSentences174
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences174
filterMatches
0"watch"
1"look"
hedgeMatches
0"began to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences203
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
totalWords1689
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
33.33% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions64
wordCount1526
uniqueNames17
maxNameDensity1.97
worstName"Quinn"
maxWindowNameDensity4
worstWindowName"Quinn"
discoveredNames
Raven1
Nest1
Soho1
Harlow1
Quinn30
Morris2
King1
Cross1
Danner16
Underground1
Tube1
London1
Camden1
Saint1
Christopher1
Herrera1
Rain3
persons
0"Harlow"
1"Quinn"
2"Morris"
3"King"
4"Cross"
5"Danner"
6"Tube"
7"Saint"
8"Christopher"
9"Herrera"
10"Rain"
places
0"Raven"
1"Soho"
2"London"
3"Camden"
globalScore0.517
windowScore0.333
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences124
glossingSentenceCount2
matches
0"smelled like old pennies, burnt hair, and"
1"looked like a thumb bone"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1689
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences203
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs129
mean13.09
std12.98
cv0.991
sampleLengths
034
138
216
315
429
521
65
74
86
96
106
113
126
131
1441
152
163
1740
1839
196
2024
211
226
236
246
2527
267
2734
287
297
3013
315
3220
335
348
357
3636
374
388
397
404
419
425
436
4448
456
465
4742
4814
499
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences174
matches
0"been painted"
1"been tattooed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs260
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences203
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1528
adjectiveStacks0
stackExamples(empty)
adverbCount39
adverbRatio0.025523560209424083
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences203
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences203
mean8.32
std5.33
cv0.64
sampleLengths
015
119
221
38
49
516
65
710
87
98
1014
1121
125
134
146
156
166
173
183
193
201
2114
2211
233
2413
252
263
277
287
2918
308
319
3211
336
3413
356
368
3716
381
396
406
416
425
438
4414
457
466
4711
4817
497
50.41% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats6
diversityRatio0.32019704433497537
totalSentences203
uniqueOpeners65
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount5
totalSentences165
matches
0"Then he ran."
1"Somewhere a bass line thudded"
2"Then the world lurched back"
3"Just a black screen."
4"Then he disappeared through the"
ratio0.03
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount33
totalSentences165
matches
0"Her cropped hair lay dark"
1"He kept his head down."
2"He walked fast, but not"
3"His shoulders locked."
4"He cut through a gap"
5"She ran harder."
6"Her left wrist struck the"
7"She did not stop for"
8"He looked back again, face"
9"It hit the ground and"
10"It smelled like old pennies,"
11"Her radio spat a burst"
12"She stopped in the middle"
13"He had gone through a"
14"She reached it moments later."
15"He did not pull a"
16"He held out his hand."
17"Their gloved hand placed something"
18"He twisted around."
19"His eyes met hers across"
ratio0.2
32.73% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount141
totalSentences165
matches
0"Detective Harlow Quinn stood under"
1"Her cropped hair lay dark"
2"Water ran off the hard"
3"He kept his head down."
4"He walked fast, but not"
5"Quinn watched him cross through"
6"A bus dragged its red"
7"Static chewed at her words."
8"The man glanced over his"
9"Quinn stepped from beneath the"
10"Danner saw her."
11"His shoulders locked."
12"He cut through a gap"
13"Quinn crossed without looking at"
14"A horn blasted."
15"A taxi missed her hip"
16"She ran harder."
17"Danner reached the corner and"
18"Quinn followed, leather soles striking"
19"The city narrowed around her:"
ratio0.855
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences165
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount1
matches
0"Three years under the ground in a disused service tunnel at King’s Cross, his torch found smashed beside a wall slick with blood that had not matched any human …"
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags0
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags0
89.8583%