Run: 2026-07-09-01KX40S8EBMFY412JAVFE02NK0

Run Details

Duration:
29.0s
Cost:
$0.037485
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 Soho flat and cold, turning the pavement into black glass under the shop lights. Detective Harlow Quinn cut across Dean Street with one hand on the radio at her shoulder and the other clamped around the ache beneath her ribs. The hooded man ahead of her knocked through a knot of smokers outside a club. One woman spun, drink splashing over her white trainers. “Watch where you’re going!” “Police!” Quinn drove after him. “Stop!” He did not look back. Grey hood, narrow shoulders, a satchel bouncing against his hip. He moved with the panicked purpose of someone who knew every alley within half a mile and had no intention of using a main road. Quinn vaulted a stack of tied rubbish bags beside a closed café. Her boots landed in an inch of gutter water. The man cut left through an alley that stank of frying oil, wet cardboard, and old beer. “Control, this is Quinn. Foot pursuit, male suspect, heading north from Dean Street toward—” Static chewed through her words. Her earpiece gave one sharp crackle, then silence. “Perfect.” The suspect burst from the alley onto a narrow street washed green by the neon sign above the Raven’s Nest. The bar sat dark behind rain-striped windows, its old maps and framed photographs reduced to pale shapes in the murk. A green raven flickered above the door, one wing blinking out each time the sign buzzed. The man glanced over his shoulder. Quinn saw a pale face beneath the hood. Not young. A split across his upper lip. Fear had pulled his mouth tight. Then he ran. He crossed against the lights, forcing a black cab to brake hard enough for its tyres to shriek. “Bloody hell!” The driver leaned on the horn. Quinn followed, one hand raised at the oncoming traffic. A delivery van clipped her shoulder with its wing mirror. Pain flashed down her arm. She kept moving. The man vanished past the Raven’s Nest. She reached the door just as it swung shut. Quinn hit it with her palm and shoved inside. Warm air swallowed the rain from her coat. The Raven’s Nest smelled of whisky, dust, and damp wool. Low amber lamps hung over empty tables. Maps covered the walls: sea charts, railway lines, borders from countries that no longer existed. Black-and-white photographs watched from crooked frames. Soldiers. Dockworkers. A child in a funeral dress. A row of men in bowler hats, each with the face scratched out. A barman stood behind the counter, polishing a glass. His sleeves covered his wrists. His eyes stayed on Quinn’s soaked jacket, then the warrant card she held up. “Man came through here,” Quinn told him. “Grey hood. Bleeding mouth. Which way?” The barman set the glass down. “Bar’s closed.” “I noticed. Which way?” “No one came in.” Water ticked from Quinn’s hair onto the floorboards. “You wanted to think before you answered. That made it worse.” The barman’s stare hardened. A movement caught Quinn’s eye near the rear wall. Tomás Herrera stood beside a bookshelf with a medical bag open on the floor. His dark curls clung to his forehead. Blood marked the cuff of his shirt. He reached for a roll of gauze, saw Quinn, and went still. “Detective.” “Tomás.” Quinn took in the bag, the stained cuffs, the bookshelf. “You treated him.” “I treated nobody.” “You lost your NHS licence for that line.” His warm brown eyes flicked to the barman, then back. “Your suspect wasn’t here.” “Blood on your sleeve tells a different story.” Tomás picked up the gauze. A scar ran along his left forearm, pale against olive skin. “London had plenty of blood. You had blood on your own hand.” Quinn looked down. A fresh scrape cut across her knuckles. She had not felt it. The bookshelf shifted behind him. Not much. An inch, then two. Quinn moved. Tomás caught her sleeve. His fingers locked around the wet fabric, and the Saint Christopher medallion at his throat swung against his chest. “Don’t.” Quinn turned her sharp jaw toward him. “Move your hand.” “Listen for once. You followed him far enough.” “He assaulted a witness outside a licensed premises and ran from an officer.” “He ran because men wanted him dead.” “Men who work for you?” Tomás’s grip tightened. Behind the shelf, something clanged deep below the floor. Metal against metal. A train sound, though no station stood anywhere near the Raven’s Nest. The barman leaned over the counter. “Police business belonged upstairs.” Quinn looked at him. “Then you had no objection to me searching downstairs.” “Nobody had asked you downstairs.” Tomás released her sleeve. Rainwater dripped from Quinn’s cuff to the floor between them. “Three years ago,” Tomás murmured, “your partner went missing after he chased someone through a door he didn’t understand.” Quinn’s face did not move. Her hand found the grip of her service weapon. “You knew DS Morris?” “I knew what found him.” The words landed without drama. That made them worse. Quinn stepped close enough to smell antiseptic on Tomás’s hands. “If you had information on Morris, you brought it to the Met.” “Would they have believed it?” “Try me.” Tomás looked past her, toward the rain-blurred windows. “You had no idea what you were chasing.” “Then help me.” A hard knock sounded from below. Then another. The bookshelf opened wider. Cold air poured through the gap, carrying rust, wet stone, incense, and a sweetness like rotting pears. Tomás picked up his medical bag. “You could call it in.” “My radio died.” “Walk out and find another.” “He gets away.” Tomás’s mouth flattened. “The place under there did not care about your procedure, Detective.” Quinn took out her torch. “That made two of us.” She shoved the bookshelf aside. A narrow stairwell dropped into darkness. Water ran down the brick walls in silver threads. Old Underground tiles showed through grime: cream borders, dark green lettering, half a station name broken away by age. —DEN. Camden. Quinn swept her torch down the steps. The beam caught the grey hood at the bottom. The suspect had one hand on an iron gate set into an old ticket hall. He looked back up at her. His face had gone white beneath the grime. “Don’t bring her through!” he shouted. A figure moved behind the gate. The suspect flinched as if something had snapped at his heels. He shoved a small object through a slot beside the lock. Bone clicked against metal. The gate opened. Quinn started down. Tomás came after her, fast enough to catch the rail above her hand. “Do you have a bone token?” She looked over her shoulder. “A what?” “That was your answer.” The iron gate groaned shut below. The hooded man slipped through, but he did not keep running. He pressed himself against the far wall, staring into the ticket hall. Quinn reached the bottom step. The abandoned station spread before her, wider than it had any right to be. The old ticket booths remained, though their windows glowed from within. Stalls crowded the platform level and spilled into tunnels beyond it. Lamps burned blue in jars. Strings of tiny yellow bulbs hung from pipes. Figures in long coats, veils, masks, and faces Quinn could not place moved between tables piled with bottles, books, knives, bundles of dried plants, cracked mirrors, cages, teeth, and objects wrapped in oilcloth. Nobody raised their voice. The market hummed with hundreds of small bargains. A woman behind the nearest stall held a jar full of black liquid. Something pale opened and closed inside it like a fist. Her gaze fixed on Quinn’s warrant card. “You came without a token,” she called. The crowd shifted. Tomás stood one step above Quinn. “Walk back upstairs.” The suspect gripped the bars from the other side of the gate. “Detective, don’t leave me here.” Quinn looked at him. “Open it.” “I can’t.” “You opened it two seconds ago.” “The token only got me in.” A man at a stall nearby laughed through a mouthful of gold teeth. “Everything got you in, sweetheart. Getting out cost extra.” Quinn watched the suspect’s shaking hands. Blood soaked the front of his hoodie now, spreading from a wound below his ribs. Tomás saw it too. He set his bag down on the step. “He needed help,” Tomás muttered. “That was all.” “Who stabbed him?” Tomás did not answer. Beyond the suspect, the crowd parted. A tall shape crossed the ticket hall under the blue lamps. It wore a black coat with rain dripping from its cuffs, though no rain fell underground. The hooded man made a sound in his throat and backed away from it. Quinn took one step down onto the station floor. Tomás caught her arm again. “Quinn.” Her worn leather watch pressed cold against her wrist. Its second hand had stopped. She looked at the gate, at the dying man beyond it, at the market that had swallowed a London station whole. Then she drew her weapon, shoved it through the bars, and sighted along it. “Open the gate.” The gold-toothed man tilted his head. “Got a token, detective?” Quinn took the evidence pouch from inside her jacket. Inside lay the small white fragment she had found in the suspect’s dropped satchel during the chase, carved with a symbol like an eye crossed by a railway line. She held it up. The market went quiet. Tomás stared at the bone. “Where did you get that?” Quinn fed it into the slot beside the lock. The iron gate swung inward.
created_at"2026-07-09T18:03:35.253Z" 7/9/2026, 6:03:35 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3930
moderation_latency(null)
generation_time28855
tokens_prompt1140
tokens_completion2650
native_tokens_prompt984
native_tokens_completion2335
native_tokens_completion_images0
native_tokens_reasoning266
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"
usage0.037485
router(null)
provider_responses
0
endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id"resp_0a538e66ec54e23f016a4fe27753e48190af3ed356da92c063"
is_byokfalse
latency241
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-1783620215-iw1vGb46Z9S1YrY8H1CW"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620215-aXppx7eMchkxt1o6xsVy"
upstream_id"resp_0a538e66ec54e23f016a4fe27753e48190af3ed356da92c063"
total_cost0.037485
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
totalTags8
adverbTagCount0
adverbTags(empty)
dialogueSentences62
tagDensity0.129
leniency0.258
rawRatio0
effectiveRatio0
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1595
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)
87.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1595
totalAiIsms4
found
0
word"silence"
count1
1
word"perfect"
count1
2
word"flickered"
count1
3
word"flicked"
count1
highlights
0"silence"
1"perfect"
2"flickered"
3"flicked"
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
narrationSentences153
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences153
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences207
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
totalWords1595
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions9
unquotedAttributions0
matches(empty)
16.67% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions65
wordCount1282
uniqueNames13
maxNameDensity2.42
worstName"Quinn"
maxWindowNameDensity4.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn31
Dean1
Street1
Raven4
Nest4
Herrera1
Saint1
Christopher1
Tomás17
Underground1
London1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Nest"
4"Herrera"
5"Saint"
6"Christopher"
7"Tomás"
8"Underground"
places
0"Soho"
1"Dean"
2"Street"
3"London"
globalScore0.291
windowScore0.167
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences98
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1595
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences207
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs130
mean12.27
std13.42
cv1.094
sampleLengths
042
124
24
36
440
538
614
75
88
91
1056
116
1222
133
1418
158
1627
177
189
199
2067
2128
2213
236
242
254
264
2719
284
299
3040
311
3214
333
348
3514
368
3728
3815
395
406
412
4223
431
4410
458
4613
477
485
493
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences153
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs209
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount1
semicolonCount0
flaggedSentences1
totalSentences207
ratio0.005
matches
0"—DEN."
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1287
adjectiveStacks1
stackExamples
0"behind rain-striped windows,"
adverbCount27
adverbRatio0.02097902097902098
lyAdverbCount0
lyAdverbRatio0
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences207
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences207
mean7.71
std5.23
cv0.679
sampleLengths
016
126
215
39
44
55
61
75
810
925
1012
119
1217
1314
145
158
161
1720
1820
1916
206
218
222
236
246
253
2618
278
289
2910
305
313
327
339
349
358
3610
377
3815
396
401
411
426
4313
449
455
4614
477
486
496
55.23% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats9
diversityRatio0.357487922705314
totalSentences207
uniqueOpeners74
47.28% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences141
matches
0"Then he ran."
1"Then she drew her weapon,"
ratio0.014
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount28
totalSentences141
matches
0"He did not look back."
1"He moved with the panicked"
2"Her boots landed in an"
3"Her earpiece gave one sharp"
4"He crossed against the lights,"
5"She kept moving."
6"She reached the door just"
7"His sleeves covered his wrists."
8"His eyes stayed on Quinn’s"
9"His dark curls clung to"
10"He reached for a roll"
11"His warm brown eyes flicked"
12"She had not felt it."
13"His fingers locked around the"
14"Her hand found the grip"
15"She shoved the bookshelf aside."
16"He looked back up at"
17"His face had gone white"
18"He shoved a small object"
19"She looked over her shoulder."
ratio0.199
6.10% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount128
totalSentences141
matches
0"Detective Harlow Quinn cut across"
1"The hooded man ahead of"
2"Quinn drove after him"
3"He did not look back."
4"He moved with the panicked"
5"Quinn vaulted a stack of"
6"Her boots landed in an"
7"The man cut left through"
8"Static chewed through her words."
9"Her earpiece gave one sharp"
10"The suspect burst from the"
11"The bar sat dark behind"
12"A green raven flickered above"
13"The man glanced over his"
14"Quinn saw a pale face"
15"A split across his upper"
16"Fear had pulled his mouth"
17"He crossed against the lights,"
18"The driver leaned on the"
19"Quinn followed, one hand raised"
ratio0.908
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences141
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences47
technicalSentenceCount0
matches(empty)
100.00% Useless dialogue additions
Target: ≤5% dialogue tags with trailing filler fragments
totalTags8
uselessAdditionCount0
matches(empty)
100.00% Dialogue tag variety (said vs. fancy)
Target: ≤10% fancy dialogue tags
totalTags5
fancyCount3
fancyTags
0"Tomás murmured (murmur)"
1"he shouted (shout)"
2"Tomás muttered (mutter)"
dialogueSentences62
tagDensity0.081
leniency0.161
rawRatio0.6
effectiveRatio0.097
86.8914%