Run: 2026-05-01-01KQHSDFX2HR0C0KJGBFRGF4CC

Run Details

Duration:
2m 7s
Cost:
$0.018754
Provider:
xAI

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 pavements of Soho and sent sprays of water arcing off the edges of rooftops. Detective Harlow Quinn spotted the man twist away from the green neon glare above the bar entrance. He clutched a small object tight in one hand and bolted into the downpour. She charged after him. Her boots struck pools that exploded upward. The man cut left around a cluster of late night diners huddled beneath a shop awning. Quinn pushed past them. Water from the awning cascaded across her shoulders. "Keep moving and you only make it worse." The words left Quinn rough and low. The man did not slow. He veered right onto a side street lined with shuttered storefronts. Quinn followed. Her watch band slapped her skin at every stride. The street sloped downward. Rainwater rushed along the gutters and over the curbs. The man knocked into a row of rubbish bins. Metal clattered. Trash scattered across the pavement. Quinn leaped the mess. Her momentum carried her forward without a break. A black taxi swerved to avoid the man at the next intersection. The driver shouted from the window. Quinn used the distraction to close the space between them. Ten feet now. The man's coat hung soaked and heavy. It flapped against his legs. She reached out. Her fingers brushed the fabric. He spun and yelled into the night. "Stay off my back." He turned onto a broader road lined with trees that dripped sheets of water onto the path below. Quinn stayed on his heels. The path curved past benches slick with moisture. The man grabbed a low branch to swing himself around a sharp bend. Wood cracked under his grip. Quinn circled the same tree instead. Her breath stayed measured. She passed a closed market stall. Canvas covers billowed in the wind that drove fresh sheets of rain sideways. The man sprinted through a gap between two buildings. Quinn angled into the same gap. Brick walls pressed close on both sides. The space smelled of damp stone and stagnant air. Puddles blocked direct footing. She splashed through. The path opened onto a main road that fed toward Camden. Buses threw up plumes of water that obscured the view ahead. Quinn kept the man's silhouette in her sightline. He crossed against the lights. A horn blared. Tires hissed. Quinn waited for a clear lane then crossed. She noted the direction. The man aimed for a cluster of disused station entrances at the edge of the district. The man reached a set of broad steps leading underground. Old barriers stood at the sides. He ducked beneath a rusted chain and descended. Quinn reached the top. She watched his form vanish into the gloom. She followed. The steps felt uneven beneath her boots. Moss and grime coated the edges. Water sluiced down the center. The rail under her hand felt cold and slick. Dim light grew stronger as she moved deeper. The air thickened with the scent of concrete dust and underground moisture. The stairs emptied into a long tiled corridor. Cracked advertisements clung to the walls. A few bare bulbs flickered overhead. Quinn moved forward. Echoes of footsteps reached her from ahead. She quickened her pace. The corridor bent and widened into a vast platform space. No trains waited on the tracks. Instead the platform held rows of makeshift stalls. Lanterns dangled from overhead wires and threw pools of uneven light. Sellers stood behind tables covered with objects that caught the glow. Jars of thick liquids lined one row. Another featured piles of carved bones and folded papers. Buyers moved between the stalls in low conversation. The sound mixed with the constant drip of water from the ceiling onto the rails below. The man ahead continued without pause. He slipped between two buyers who examined a rolled map. Quinn kept to the shadows cast by a support pillar. Water beaded on her cropped hair. She wiped her eyes once with the back of her hand and tracked his path. Near the far end of the platform a barrier rose from the rails. Planks and chains formed a rough gate. A broad man stood with arms folded across his chest. Scars crossed his forearms. The suspect halted before him. "Pass through comes at the usual rate." The guard's voice carried flat across the platform noise. The man held out the object from his fist. It proved to be a carved bone fragment etched with faint lines. The guard took it. He turned it beneath the lantern light then nodded. The chains parted enough for the man to step through into the tunnel beyond. Quinn edged closer. She stayed behind another pillar until the suspect cleared the barrier. The guard resumed his stance. Quinn scanned the ground near the gate. A second bone fragment rested against a rail where water dripped steadily. She retrieved it. The surface felt cold and smoothed by handling. She stepped into the open. The guard shifted stance and extended one hand palm upward. "Token first. Then access." Quinn stood at the edge of the platform. The tunnel mouth where the suspect had gone lay dark and narrow. Beyond it voices murmured and shadows moved. She glanced back along the platform. The stairs to the surface still waited. Above lay the known streets and the rain. Protocols waited there too. Reports. Backup. Evidence gathered in daylight. The market air pressed against her lungs. Lantern glow reflected off the wet tiles and made the faces around the stalls appear half-formed. One seller lifted a vial toward a buyer who rotated it slowly under the light. Another stall held faded photographs pinned to a board. The scent of herbs and something metallic drifted past. Quinn shifted her weight. The bone rested in her fingers. She considered the path ahead. The suspect carried the details she needed on the group operating out of the bar with the green sign. Those details connected to cases that twisted beyond standard explanations. Entry without protocol left her isolated. The bone felt light yet it represented the threshold that could not be crossed without consequence. Quinn stepped forward. Her jaw held firm. She extended the bone toward the guard.
created_at"2026-05-01T12:50:00.742Z" 5/1/2026, 12:50:00 PM
model"x-ai/grok-4.3-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency105415
moderation_latency(null)
generation_time126628
tokens_prompt1140
tokens_completion2213
native_tokens_prompt1075
native_tokens_completion6991
native_tokens_completion_images(null)
native_tokens_reasoning5756
native_tokens_cached64
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"
usage0.01875405
router(null)
provider_responses
0
endpoint_id"45623cb8-18e5-4b32-8fc4-85d05439982d"
id"319c025c-af3b-5dae-f4f9-01bbfe67c066"
is_byokfalse
latency111
model_permaslug"x-ai/grok-4.3-20260430"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777639800-sW1tE6VM47jTeNBLmfw5"
session_id(null)
api_type"completions"
id"gen-1777639800-E2cYFQtd6nsuSWV8uJIC"
upstream_id"319c025c-af3b-5dae-f4f9-01bbfe67c066"
total_cost0.01875405
cache_discount0.0000672
upstream_inference_cost0
provider_name"xAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.16% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1033
totalAiIsmAdverbs1
found
0
adverb"slowly"
count1
highlights
0"slowly"
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)
46.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1033
totalAiIsms11
found
0
word"charged"
count1
1
word"measured"
count1
2
word"gloom"
count1
3
word"flickered"
count1
4
word"echoes"
count1
5
word"footsteps"
count1
6
word"quickened"
count1
7
word"etched"
count1
8
word"scanned"
count1
9
word"weight"
count1
10
word"standard"
count1
highlights
0"charged"
1"measured"
2"gloom"
3"flickered"
4"echoes"
5"footsteps"
6"quickened"
7"etched"
8"scanned"
9"weight"
10"standard"
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
narrationSentences130
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences130
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences134
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen19
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1033
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
totalMentions25
wordCount1010
uniqueNames5
maxNameDensity1.88
worstName"Quinn"
maxWindowNameDensity3.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn19
Camden1
Water3
persons
0"Harlow"
1"Quinn"
2"Water"
places
0"Soho"
1"Camden"
globalScore0.559
windowScore0.5
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences89
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1033
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences134
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs25
mean41.32
std21.3
cv0.516
sampleLengths
059
128
28
334
441
558
64
759
857
968
1036
1149
1244
1376
1447
1539
167
1757
1849
1915
204
2158
2266
2356
2414
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences130
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs180
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences134
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1011
adjectiveStacks1
stackExamples
0"twisted beyond standard explanations."
adverbCount16
adverbRatio0.01582591493570722
lyAdverbCount2
lyAdverbRatio0.0019782393669634025
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences134
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences134
mean7.71
std3.87
cv0.502
sampleLengths
017
117
214
34
47
516
64
78
88
97
105
1111
122
139
144
159
169
172
185
194
208
2112
226
2310
243
257
265
273
285
297
304
3118
325
338
3413
355
366
374
386
3913
409
416
427
439
444
453
4611
4711
488
495
55.72% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats7
diversityRatio0.3656716417910448
totalSentences134
uniqueOpeners49
26.88% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences124
matches
0"Instead the platform held rows"
ratio0.008
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount30
totalSentences124
matches
0"He clutched a small object"
1"She charged after him."
2"Her boots struck pools that"
3"He veered right onto a"
4"Her watch band slapped her"
5"Her momentum carried her forward"
6"It flapped against his legs."
7"She reached out."
8"Her fingers brushed the fabric."
9"He spun and yelled into"
10"He turned onto a broader"
11"Her breath stayed measured."
12"She passed a closed market"
13"She splashed through."
14"He crossed against the lights."
15"She noted the direction."
16"He ducked beneath a rusted"
17"She watched his form vanish"
18"She quickened her pace."
19"He slipped between two buyers"
ratio0.242
8.39% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount112
totalSentences124
matches
0"Detective Harlow Quinn spotted the"
1"He clutched a small object"
2"She charged after him."
3"Her boots struck pools that"
4"The man cut left around"
5"Quinn pushed past them."
6"Water from the awning cascaded"
7"The words left Quinn rough"
8"The man did not slow."
9"He veered right onto a"
10"Her watch band slapped her"
11"The street sloped downward."
12"Rainwater rushed along the gutters"
13"The man knocked into a"
14"Trash scattered across the pavement."
15"Quinn leaped the mess."
16"Her momentum carried her forward"
17"A black taxi swerved to"
18"The driver shouted from the"
19"Quinn used the distraction to"
ratio0.903
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences124
matches(empty)
ratio0
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences35
technicalSentenceCount2
matches
0"Canvas covers billowed in the wind that drove fresh sheets of rain sideways."
1"The bone felt light yet it represented the threshold that could not be crossed without consequence."
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
85.8969%