Run: 2026-05-01-01KQHR9Z0ASVQGWHV9110769EX

Run Details

Duration:
2m 50s
Cost:
$0.026958
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="4414" name="Eva Kowalski" aliases="Eva, Evie" pronouns="she/her" species="Human" storyRole="Best Friend"> <eyeColor>green</eyeColor> <hair>curly red</hair> <height>5'4"</height> <age>26</age> <glasses>round glasses</glasses> <satchel>worn leather satchel full of books</satchel> <freckles>freckled complexion</freckles> <nervousHabit>tucking hair behind her left ear</nervousHabit> <description>Aurora's childhood friend and an occult researcher.</description> <backstory>Moved to London two years before Aurora and works as a research assistant at the British Museum's restricted archives. She holds a master's degree in Ancient History from Oxford.</backstory> </character> <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> <item id="2004" name="Veil Compass" aliases="the Compass, shadow compass" type="Tool" origin="The Veil Market"> <casingMaterial>small brass compass</casingMaterial> <faceMarkings>face etched with protective sigils</faceMarkings> <needle>points toward the nearest supernatural rift or portal</needle> <patina>casing has a patina of verdigris</patina> <creator>crafted by a Shade artisan</creator> <description>A compass attuned to supernatural energy.</description> </item> </codex> Continue the story using the following instructions: <instructions> Write a fully fleshed out scene of at least 1000 words in the mystery genre. A detective arrives at a crime scene in an unusual location. Something is wrong — the evidence doesn't add up. A colleague is present, offering a different interpretation. Through careful observation and deduction, the detective begins to see what others have missed. 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
Detective Harlow Quinn entered the abandoned Tube station through the service entrance above the Camden platforms. She carried her flashlight low at first to preserve night vision. The stairs led down into stale air thick with mold and metal. Her footsteps echoed against the concrete. She reached the main platform level where the old rails sat unused. A single colleague waited near the reported body. The body sprawled across the center of the open space. Quinn directed the beam across the scene. The victim's head rested at an angle against a bench leg. Blood had collected in a patch that extended toward the wall rather than pooling directly beneath. She noted the distance between the supposed high point and the final position exceeded normal fall trajectories based on the station dimensions. Eva Kowalski stood with her hands at her sides. Her round glasses caught and reflected the flashlight beam in small points. Curly red strands fell across her freckled cheeks. She shifted her worn leather satchel to the opposite shoulder. The report from the station attendant described a disturbance near the upper maintenance walkways. The victim probably lost his footing while exploring the restricted sections without authorization. Quinn advanced to the body. She studied the clothing first. The jacket showed no tears from a high fall or from rocks. The fabric remained intact except at the collar where the material bunched as if pulled from behind. She crouched and lifted one arm by the wrist. The palm revealed precise cuts arranged in radiating lines from the center. She released the arm and moved to the head area. The gash on the temple appeared clean with minimal surrounding bruising inconsistent with impact force alone. She rose and walked to the nearest staircase leading upward. The metal steps showed no fresh scuffs or disturbed dust layers. She tested the first step with her boot. It held solid without sway. She turned back to Eva. The upper walkway maintains its condition without any disruption from a person falling through it. Eva bent forward to examine the blood patch from a new angle. Her hand rose and tucked the left side of her hair behind the ear before she straightened. The attendant might have misjudged the events. Perhaps the victim climbed up alone and the impact scattered him back to this level. Quinn crossed to the opposite end of the platform. She located faint shoe prints in the thin layer of grime. The prints pointed inward from the east tunnel opening. The depth and spacing suggested a steady pace rather than a run. She followed the line of prints to the body location. The final steps halted several meters short of the blood patch. She bent at the waist to inspect the print edges. Fresh mud from outside coated some edges while others bore only station dust. The path shows travel from the tunnel depth. Not descent from the stairs or catwalk. Quinn continued her circuit of the area. She examined the benches for any trace items. Under the third bench she discovered the small brass compass with verdigris on the casing. The face displayed etched symbols around the edge. The needle inside moved independently of standard magnetic pull when she rotated the entire object in her hand. She carried the compass to the east tunnel and tested the direction. The needle locked onto a precise point deeper in the tunnel where a side passage appeared partially blocked. She returned to the main area and approached the body again. This time she searched the pockets methodically. The inside breast pocket yielded a single carved bone shaped to a point. The carvings along the length formed repeated sigils that matched those on the compass face. She placed the bone on the bench for better light. Eva approached with cautious steps. Her satchel swayed with each movement. A strand of red hair escaped and she tucked it again. The bone could belong to a pendant or keychain. Collectors frequent these tunnels for artifacts from old London. Quinn lifted the bone and held it beside the compass. The sigils aligned in sequence when placed parallel. She set both items down and pointed her flashlight toward the blocked side passage. These two objects belong together. The compass directs exactly to the passage. The token matches patterns from prior black market seizures in other districts. Eva paused near the body. Her green eyes scanned the blood pattern once more. The market theory fits the tunnel system in general. But the injuries still trace to a high fall. The attendant described the sound of the impact from above. Quinn knelt at the blood patch. She measured the length of the smear with her boot placement. The streak measured longer than the body should slide from a vertical drop. She stood and checked the wall near the smear end. Small handprints appeared at shoulder height. The prints matched the cut patterns on the victim's palms exactly. The hands pressed against the wall at this height to steady the victim. He reached this location alive and used the wall for support before collapsing. Quinn moved to the crates stacked against the far wall. She opened the top crate lid. Inside sat rows of vials containing liquids in varying hues. Some vials showed residue on the seals. The residue matched the powder composition scattered near the victim's feet in faint traces. She closed the lid and turned to Eva. These substances appeared in forensic reports from three separate incidents last quarter. All tied to the same distribution network. The arrangement in this crate shows deliberate storage rather than random discard. Eva's fingers drummed once on the satchel flap. She moved closer to the crates without opening any. Storage explains the presence. The victim might have been part of the delivery and met rivals here. The rivals scenario requires the body to show defense injuries or shifted clothing. Quinn lifted the jacket flap again. The interior lining stayed smooth without signs of tearing or forced removal. No such marks appear. The position allows for movement after the fatal injury occurred elsewhere. She walked the platform perimeter for the fourth time. Each circuit revealed new details. The tiles near the east tunnel bore fresh scratches where someone dragged an object the width of the body. The scratches ended at the current body spot. The pattern suggested relocation after the fact. Quinn stopped near the side passage entrance. She extended the compass once more. The needle held its lock on the inner chamber. She took several steps into the passage. The air shifted to carry traces of incense and metal. More vials lined a crude shelf inside along with hanging chains that showed recent use without corrosion. She backed out and addressed her colleague. Prints and marks show the victim entered this area. The items inside connect to the token and compass. The body ended up on the platform through deliberate movement to mask the true sequence. Eva tucked her hair a final time. She glanced from the body to the passage and back. The investigation requires lab analysis on the substances and prints. My interpretation remains a location-based accident until further data arrives. Quinn replaced the compass and bone in her pocket. She recorded the chamber dimensions in her notebook with quick lines. Her military precision guided each observation as she noted every discrepancy in the scene. She shone the light back across the blood and prints one last time before speaking again. The evidence points to the victim accessing the inner section for a transaction. The body relocation and the alignment of the compass and token indicate the true activity centered on the hidden chamber rather than the open platform.
created_at"2026-05-01T12:30:36.558Z" 5/1/2026, 12:30:36 PM
model"x-ai/grok-4.3-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency156351
moderation_latency(null)
generation_time170118
tokens_prompt1149
tokens_completion5097
native_tokens_prompt1102
native_tokens_completion10689
native_tokens_completion_images(null)
native_tokens_reasoning9253
native_tokens_cached1088
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"
usage0.0269576
router(null)
provider_responses
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endpoint_id"45623cb8-18e5-4b32-8fc4-85d05439982d"
id"e4d2eb0b-7c8e-9338-8288-7a943e05a606"
is_byokfalse
latency98
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-1777638636-9DtAS1TEI3vknsOosgHA"
session_id(null)
api_type"completions"
id"gen-1777638636-75KcIvvrGR649i9TWG3s"
upstream_id"e4d2eb0b-7c8e-9338-8288-7a943e05a606"
total_cost0.0269576
cache_discount0.0011424
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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
100.00% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1286
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)
65.01% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1286
totalAiIsms9
found
0
word"footsteps"
count1
1
word"echoed"
count1
2
word"etched"
count1
3
word"standard"
count1
4
word"magnetic"
count1
5
word"aligned"
count1
6
word"scanned"
count1
7
word"measured"
count2
highlights
0"footsteps"
1"echoed"
2"etched"
3"standard"
4"magnetic"
5"aligned"
6"scanned"
7"measured"
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
narrationSentences124
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount0
hedgeCount1
narrationSentences124
filterMatches(empty)
hedgeMatches
0"tended to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences124
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen25
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1286
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions0
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions24
wordCount1286
uniqueNames7
maxNameDensity0.86
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn11
Tube1
Camden1
Kowalski1
Eva8
London1
persons
0"Harlow"
1"Quinn"
2"Kowalski"
3"Eva"
places
0"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences114
glossingSentenceCount2
matches
0"appeared clean with minimal surrounding bruising inconsistent with impact force alone"
1"appeared partially blocked"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1286
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences124
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs34
mean37.82
std21.71
cv0.574
sampleLengths
075
156
239
327
486
539
615
729
822
985
1015
1186
1256
1322
1418
1532
1624
1714
1828
1957
2026
2155
2231
2317
2417
2546
2648
2756
287
2933
3017
3120
3250
3338
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences124
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs190
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences124
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1287
adjectiveStacks0
stackExamples(empty)
adverbCount29
adverbRatio0.022533022533022532
lyAdverbCount9
lyAdverbRatio0.006993006993006993
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences124
echoCount0
echoWords(empty)
84.35% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences124
mean10.37
std3.74
cv0.361
sampleLengths
016
111
212
36
412
58
610
77
811
916
1022
119
1212
138
1410
1514
1613
175
185
1912
2017
219
2212
2310
2416
2510
2611
278
285
295
3015
3112
3217
337
3415
359
3611
379
3812
3910
4011
4110
4213
438
447
457
468
4715
488
4918
40.32% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats12
diversityRatio0.23387096774193547
totalSentences124
uniqueOpeners29
80.65% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount3
totalSentences124
matches
0"Perhaps the victim climbed up"
1"All tied to the same"
2"More vials lined a crude"
ratio0.024
94.19% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount39
totalSentences124
matches
0"She carried her flashlight low"
1"Her footsteps echoed against the"
2"She reached the main platform"
3"She noted the distance between"
4"Her round glasses caught and"
5"She shifted her worn leather"
6"She studied the clothing first."
7"She crouched and lifted one"
8"She released the arm and"
9"She rose and walked to"
10"She tested the first step"
11"It held solid without sway."
12"She turned back to Eva."
13"Her hand rose and tucked"
14"She located faint shoe prints"
15"She followed the line of"
16"She bent at the waist"
17"She examined the benches for"
18"She carried the compass to"
19"She returned to the main"
ratio0.315
4.35% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount113
totalSentences124
matches
0"Detective Harlow Quinn entered the"
1"She carried her flashlight low"
2"The stairs led down into"
3"Her footsteps echoed against the"
4"She reached the main platform"
5"A single colleague waited near"
6"The body sprawled across the"
7"Quinn directed the beam across"
8"The victim's head rested at"
9"Blood had collected in a"
10"She noted the distance between"
11"Eva Kowalski stood with her"
12"Her round glasses caught and"
13"She shifted her worn leather"
14"The report from the station"
15"The victim probably lost his"
16"Quinn advanced to the body."
17"She studied the clothing first."
18"The jacket showed no tears"
19"The fabric remained intact except"
ratio0.911
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
analyzedSentences69
technicalSentenceCount1
matches
0"More vials lined a crude shelf inside along with hanging chains that showed recent use without corrosion."
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
88.9625%