Run: 2026-07-09-01KX4058PJCE5876Y8CHYJTRWH

Run Details

Duration:
13.8s
Cost:
$0.012480
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 hard enough to flatten the rubbish against the kerbs. Detective Harlow Quinn cut through the sheets of water with her coat open and her warrant tucked inside it, one hand braced against the brick as she swung around the corner. Her boots struck the pavement in a steady rhythm. Ahead, a man in a dark jacket shoved through a knot of revellers outside a kebab shop. “Police! Move!” The crowd broke in fragments. A woman screamed when Quinn clipped her shoulder. Someone swore. A taxi horn blared, then vanished beneath the thunder of rain. The suspect glanced back. That was all Quinn needed. She saw his face in the blue wash of a shop sign: narrow cheeks, wet black hair, a fresh cut above his eyebrow. He carried a leather satchel tight against his ribs. Its buckle flashed silver as he ran. “Stop!” He accelerated. Quinn had spent eighteen years chasing people who believed darkness made them invisible. She knew how panic shortened a stride, how guilt pulled the head down, how a frightened suspect protected whatever mattered most. The satchel mattered. She crossed the street without checking the traffic. A double-decker bus roared past close enough to throw a wall of dirty water over her trousers. Quinn staggered, caught herself, and kept moving. The man vaulted a waist-high railing and plunged into a narrow service lane between a shuttered theatre and a row of flats. Rain poured from fire escapes overhead. Neon fractured in the puddles under his feet. Quinn followed. The lane pinched tight between damp brick walls. Her shoulder scraped a drainpipe. The man reached the far end and slammed through a metal gate. Quinn hit it seconds later. The gate swung back on its hinge. She caught it before it struck her face, then entered a yard packed with bins, broken pallets and tangled washing lines. The suspect had already reached the opposite wall. He planted one foot on a bin and hauled himself onto the ledge. Quinn stopped beneath him. “Down.” He looked over his shoulder. Rain ran from his jaw. “You don’t understand what’s in that bag.” “Then you can explain it at the station.” He gave her a thin smile and jumped. Quinn reached the wall, gripped the wet brick and pulled herself up. Her leather watch snagged on a jagged edge. The strap tore. The watch dropped into the yard below with a small, hard click. She did not look back. The suspect landed in an alley beyond the wall and disappeared between two parked vans. Quinn dropped after him, pain shooting through her right knee. She pushed upright and sprinted. The alley opened onto a broad street lined with closed shops. Rainwater streamed along the gutters, carrying cigarette ends and scraps of paper towards the drains. The suspect ran towards the entrance of an underground station. Quinn saw the sign through the rain. CAMDEN TOWN. The station had been closed for years. Its iron gates stood chained, but the suspect ducked through a gap where the pavement had collapsed. He vanished below street level. Quinn reached the gap and crouched. A stairwell descended into darkness beneath the old station frontage. Water poured down the steps. The air rising from below smelled of rust, wet stone and something bitter that caught at the back of her throat. She drew her torch. The beam found the suspect thirty feet down. He was already forcing open a second gate. “Drop the bag!” He turned. For one sharp second, his face held no fear. It held calculation. Then he slipped through the gate and pulled it shut behind him. Quinn descended. The stairs ended at a tiled platform, its white walls yellowed with age. Old advertisements peeled from the panels. A dead escalator vanished into a tunnel blocked by corrugated metal. The man ran across the platform. Quinn raised her torch and followed. Her boots struck the tiles. Water dripped from the ceiling in a slow, uneven pattern. “Stop!” The suspect reached a wall where a bookcase stood between two broken columns. It looked absurd in the abandoned station, its dark wood polished despite the damp. Shelves held battered novels, brass ornaments and objects Quinn could not identify. He pulled a bone token from his pocket. Quinn slowed. The object rested between his fingers: small, pale and carved with a black spiral. He pressed it against the bookcase. A click sounded behind the shelves. The bookcase swung inward. Warm light spilled through the opening. The suspect slipped inside. Quinn crossed the platform and reached the hidden doorway. Beyond it, voices crowded together. Music pulsed beneath the stone. A smell of incense, metal and scorched herbs rolled into the station. She held her torch at shoulder height and stepped through. The passage opened into a cavernous chamber beneath the old platforms. Hundreds of lanterns hung from the ceiling, each burning with a different colour. Green fire trembled in glass jars. Red light leaked from cages. Blue sparks crawled along strings stretched above the market stalls. People moved beneath them in cloaks, oilskins and tailored coats. Some wore masks. Some had faces that made Quinn’s stomach tighten: eyes too large, mouths split by narrow seams, skin patterned with scales or ash-grey veins. Vendors called over one another. “Two drops for a silver tooth!” “Genuine Saint Elmo powder!” “Names, memories, last words—fresh from the north line!” The market filled the abandoned station from wall to wall. Stalls crowded the old platform edges. Tables displayed bottles, knives, black candles, sealed envelopes and things that shifted under cloth. A woman with antlers arranged rows of glass beetles. A boy with translucent skin sold maps that wriggled when opened. Quinn stood at the entrance. The suspect had vanished into the crowd. A tall figure in a yellow raincoat turned towards her. Its face remained hidden beneath a veil of coins. “Bone token,” it rasped. Quinn showed her warrant. The figure tilted its head. “That is not a bone token.” “I’m looking for a man with a leather satchel. Dark jacket. Cut above his eyebrow.” A merchant nearby laughed while weighing a handful of black seeds. “Everyone here carries a satchel,” the veiled figure replied. “Then you can help me search.” The figure stepped closer. Coins clicked against one another. “Outsiders do not search the Market.” Quinn’s hand moved towards the baton on her belt. The gesture drew attention. Conversations faltered along the nearest stalls. Heads turned. A woman with silver teeth stopped peeling something pale and wet. A man with a crow perched on his shoulder watched Quinn without blinking. She counted exits. The hidden doorway behind her. A tunnel entrance to the left, guarded by two broad-shouldered men with iron rings through their ears. A stairwell at the far end, where green light flickered beneath a hanging sign marked with a symbol she did not recognise. The suspect appeared beyond a stall of bottled shadows. He moved quickly, satchel still tight against his side. Quinn pushed into the crowd. A hand caught her sleeve. “Police business ends at the threshold.” She twisted free. “Touch me again and you’ll lose the hand.” The vendor’s fingers curled. They were jointed in too many places. Quinn kept moving. The suspect shoved through a cluster of masked buyers. One of them grabbed for his satchel. He struck the hand away, then ran towards the green-lit stairwell. Quinn followed, knocking a tray of metal charms to the floor. They scattered across the stones, ringing like tiny bells. A stallholder cursed. “Stop running!” The suspect looked back. His boot struck the first stair. The green light above him flared. For an instant, his shadow stretched across the wall in the wrong direction. Quinn reached the foot of the stairs and stopped. The tunnel beyond descended beneath the market. Darkness breathed from it. She heard water flowing somewhere below, then a sound like distant metal dragged across stone. The suspect disappeared around the bend. Behind Quinn, the market had gone quiet. Not silent. The lanterns hissed. Bottles clicked in their crates. Somewhere, a creature whispered in a language she could not place. But every face watched her. Her right hand tightened around the baton. Her left wrist felt bare without the weight of the watch. She pictured it lying in the rain above, its cracked leather strap caught on the wall. The thought lasted less than a second before another image forced its way in: Morris’s coat on the bank of the Thames, soaked through, no body beneath it. She had followed him into places no report could describe. She had returned alone. The suspect’s footsteps faded down the stairs. Quinn looked at the tunnel, then at the market crowd. A man behind a stall lifted a curved knife and began cleaning it with a strip of red cloth. The veiled figure raised one coin-covered hand. “Detective,” it called. “You have entered without permission.” Quinn drew her baton. “Then arrest me.” The figure’s coins trembled. Quinn set one boot on the first step. Cold air slid around her ankle, carrying the scent of underground water and something sharp enough to taste. The market watched as she descended.
created_at"2026-07-09T17:52:40.154Z" 7/9/2026, 5:52:40 PM
model"openai/gpt-5.6-luna-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency491
moderation_latency(null)
generation_time13243
tokens_prompt1140
tokens_completion2519
native_tokens_prompt984
native_tokens_completion1916
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"
usage0.01248
router(null)
provider_responses
0
endpoint_id"eebea444-34a5-4642-a766-cb319471d33a"
id"resp_0f947efae676f870016a4fdfe837548194a43576be895334ed"
is_byokfalse
latency239
model_permaslug"openai/gpt-5.6-luna-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783619560-phematIuyoEQrFEwJtVH"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619560-KtL3MkNbm9rOeR25on0b"
upstream_id"resp_0f947efae676f870016a4fdfe837548194a43576be895334ed"
total_cost0.01248
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)
dialogueSentences22
tagDensity0.136
leniency0.273
rawRatio0
effectiveRatio0
96.74% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1534
totalAiIsmAdverbs1
found
0
adverb"quickly"
count1
highlights
0"quickly"
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)
67.41% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1534
totalAiIsms10
found
0
word"eyebrow"
count2
1
word"fractured"
count1
2
word"pulsed"
count1
3
word"trembled"
count2
4
word"stomach"
count1
5
word"flickered"
count1
6
word"weight"
count1
7
word"footsteps"
count1
highlights
0"eyebrow"
1"fractured"
2"pulsed"
3"trembled"
4"stomach"
5"flickered"
6"weight"
7"footsteps"
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
narrationSentences167
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences167
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences186
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen31
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1533
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions2
unquotedAttributions0
matches(empty)
44.88% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions37
wordCount1427
uniqueNames6
maxNameDensity2.1
worstName"Quinn"
maxWindowNameDensity3
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn30
Morris1
Thames1
Rain3
persons
0"Harlow"
1"Quinn"
2"Morris"
places
0"Soho"
1"Thames"
globalScore0.449
windowScore0.667
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences109
glossingSentenceCount1
matches
0"appeared beyond a stall of bottled shadows"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1533
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences186
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs111
mean13.81
std14.01
cv1.014
sampleLengths
012
157
22
326
44
55
639
71
82
934
103
1132
1236
132
1425
155
1649
174
181
1910
207
218
228
2335
245
2530
2636
277
282
2929
306
3136
324
3316
343
352
3612
3712
382
3930
406
4121
421
4339
448
452
4620
476
484
496
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount2
totalSentences167
matches
0"been closed"
1"were jointed"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs256
matches
0"was already forcing"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences186
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1433
adjectiveStacks0
stackExamples(empty)
adverbCount26
adverbRatio0.018143754361479414
lyAdverbCount1
lyAdverbRatio0.0006978367062107466
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences186
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences186
mean8.24
std5.2
cv0.631
sampleLengths
012
131
29
317
42
55
68
72
811
94
105
1123
129
137
141
152
1613
1721
183
198
2017
217
2222
236
248
252
268
275
2812
295
307
3121
328
3313
344
351
365
375
387
398
408
4112
428
433
4412
455
4615
4710
485
4911
49.10% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3172043010752688
totalSentences186
uniqueOpeners59
42.74% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences156
matches
0"Then he slipped through the"
1"Somewhere, a creature whispered in"
ratio0.013
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount38
totalSentences156
matches
0"Her boots struck the pavement"
1"She saw his face in"
2"He carried a leather satchel"
3"Its buckle flashed silver as"
4"She knew how panic shortened"
5"She crossed the street without"
6"Her shoulder scraped a drainpipe."
7"She caught it before it"
8"He planted one foot on"
9"He looked over his shoulder."
10"He gave her a thin"
11"Her leather watch snagged on"
12"She did not look back."
13"She pushed upright and sprinted."
14"Its iron gates stood chained,"
15"He vanished below street level."
16"She drew her torch."
17"He was already forcing open"
18"It held calculation."
19"Her boots struck the tiles."
ratio0.244
11.28% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount140
totalSentences156
matches
0"Detective Harlow Quinn cut through"
1"Her boots struck the pavement"
2"The crowd broke in fragments."
3"A woman screamed when Quinn"
4"A taxi horn blared, then"
5"The suspect glanced back."
6"That was all Quinn needed."
7"She saw his face in"
8"He carried a leather satchel"
9"Its buckle flashed silver as"
10"Quinn had spent eighteen years"
11"She knew how panic shortened"
12"The satchel mattered."
13"She crossed the street without"
14"A double-decker bus roared past"
15"Quinn staggered, caught herself, and"
16"The man vaulted a waist-high"
17"Rain poured from fire escapes"
18"Neon fractured in the puddles"
19"The lane pinched tight between"
ratio0.897
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences156
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences58
technicalSentenceCount3
matches
0"Quinn had spent eighteen years chasing people who believed darkness made them invisible."
1"Some had faces that made Quinn’s stomach tighten: eyes too large, mouths split by narrow seams, skin patterned with scales or ash-grey veins."
2"Tables displayed bottles, knives, black candles, sealed envelopes and things that shifted under cloth."
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
fancyCount0
fancyTags(empty)
dialogueSentences22
tagDensity0.091
leniency0.182
rawRatio0
effectiveRatio0
87.0717%