Run: 2026-05-01-01KQHSV26S9C20ANRYRAX0SD57

Run Details

Duration:
5m 13s
Cost:
$0.039839
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
The rain drenched London night reflected distorted light patterns across slick pavement surfaces as Detective Harlow Quinn launched her pursuit after the suspect who had bolted from the area around The Raven's Nest with its characteristic green neon sign above the doorway. The bar's walls held old maps and black and white photographs but Quinn left those behind as she sprinted after the man. Her age of forty one years did not hinder her motion as she matched pace with the target. The rain fell in continuous sheets that obscured vision beyond certain distances but Quinn ignored the limitation by focusing on the figure directly ahead. Her profile matched the target with salt and pepper close cut hair and sharp jaw that set as she concentrated the effort. The suspect had olive skin tone and short curly dark brown hair and a scar along the left forearm that marked him as Tomás Herrera the former paramedic who offered off the books medical care to various clients. Quinn knew his background from her investigations into the clique and his potential involvement in their activities. She shouted her first order as she closed in. "Police business! Stop!" The command mixed with the ambient noise but Tomás ran on without response. Quinn adjusted to his path when he entered an alley between two buildings. The alley contained bins full of waste that emitted odors mixed with the clean smell of rain. Quinn passed these without incident as Tomás kicked one to slow her but the bin rolled harmlessly to the side. The chase exited the alley onto a street where headlights from oncoming cars illuminated the scene briefly. Quinn crossed with care to avoid becoming a target for collision. The run continued through residential streets where houses had lights on in windows indicating activity inside. The residential area featured narrow sidewalks in some spots where residents had placed potted plants that narrowed the path further. Tomás knocked one pot over in his haste causing soil to spill across the pavement. Quinn avoided the spill by altering her step position. The action added variety to the chase but did not slow either party for more than a second. Lights from windows cast yellow pools on the ground that the runners passed through in quick succession. Tomás used these areas to attempt to lose his pursuer by turning frequently. Quinn kept pace by anticipating some of the turns based on the general direction toward Camden. The distance fluctuated but she always regained ground within a few blocks. Rain collected on her leather watch strap but did not impair its function. Further on the path crossed a large intersection with multiple lanes. The adrenaline that rose in Quinn's system from the crossing added to her determination rather than causing distraction. She regulated her breathing to long even draws that supported continued motion. The suspect's exertion showed in the way his breathing became audible when they ran parallel for a moment on a wide section of sidewalk. Tomás ran through a gap in the traffic that opened briefly. Quinn timed her own crossing to follow in the same gap. Vehicles on either side honked and swerved slightly but passed without incident. The action increased the adrenaline in the chase but Quinn stayed focused on the objective. The suspect's medallion became visible at times as his shirt moved with exertion. The suspect led into a park area with winding paths and trees that canopied parts of the route. The trees swayed slightly in the wind that accompanied the rainstorm creating additional movement in the branches that cast moving shadows on the path. Quinn followed the twists and turns by keeping visual contact through the foliage. Rain from the trees fell in larger drops when disturbed but she continued without pause. The pond in the park provided a moment where Tomás circled it to gain distance. Quinn chose the shorter arc to compensate. The grass beside the path soaked the runoff from the rain making the ground soft under foot. The area around the pond had ducks that scurried away from the noise of the runners but the birds stayed in the water. Quinn focused on the path ahead and the suspect's position without attention to the wildlife. From the park the route returned to streets leading into the Camden district. The area featured vibrant colors even at night but the rain muted the effect on the street art and signs. Tomás headed toward the transport hubs but selected a back access instead of the main entrance. Quinn closed the distance finally as the suspect tired from the long run through the city. The service door appeared ahead and Tomás paused to retrieve the bone token from his possession. He inserted the token and opened the door to the stairs leading to the abandoned Tube station that housed the Veil Market. The market sold enchanted goods and banned substances to a clientele that included supernaturals. Quinn reached the door immediately after the suspect entered. She held the door open with her hand and looked down the stairs. The decision to follow or not rested on the assessment of danger in the unfamiliar territory below. The abandoned station provided a hidden space for clandestine activities that Quinn had investigated from above ground but never entered directly. The requirement for bone token entry meant she would need to find another way or wait for the suspect to return. The military precision in her approach helped her evaluate the risks without panic. The potential to apprehend the suspect and gain information about the clique pushed toward entry while the unknown elements of the market suggested caution. Quinn stepped her one foot onto the first step and paused again as more rain entered the opening from above. The darkness below allowed no easy view of the market activities. She prepared mentally for what might await by recalling her training in urban pursuit and apprehension. The decision formed with the intention to enter but the scene paused as she readied the next action by shifting her weight to test the stability of the step under her boot. The sound of water running down the stairs mixed with the rain above as she held the position before committing fully to the descent into the unfamiliar territory.
created_at"2026-05-01T12:57:25.469Z" 5/1/2026, 12:57:25 PM
model"x-ai/grok-4.3-20260430"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency302276
moderation_latency(null)
generation_time312814
tokens_prompt1140
tokens_completion16744
native_tokens_prompt1075
native_tokens_completion15425
native_tokens_completion_images(null)
native_tokens_reasoning14288
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"
usage0.03983905
router(null)
provider_responses
0
endpoint_id"45623cb8-18e5-4b32-8fc4-85d05439982d"
id"6804a8d4-ce1c-99ec-957b-f49a58a472f8"
is_byokfalse
latency64
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-1777640245-9KHVtcuKZtqyuHUc8OL0"
session_id(null)
api_type"completions"
id"gen-1777640245-cykDKfDlatGHjauLl6Uy"
upstream_id"6804a8d4-ce1c-99ec-957b-f49a58a472f8"
total_cost0.03983905
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
90.49% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1051
totalAiIsmAdverbs2
found
0
adverb"slightly"
count2
highlights
0"slightly"
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)
71.46% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1051
totalAiIsms6
found
0
word"potential"
count2
1
word"anticipating"
count1
2
word"clandestine"
count1
3
word"apprehension"
count1
4
word"weight"
count1
highlights
0"potential"
1"anticipating"
2"clandestine"
3"apprehension"
4"weight"
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
narrationSentences61
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount0
narrationSentences61
filterMatches
0"watch"
hedgeMatches(empty)
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences62
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen42
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1051
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
59.35% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions39
wordCount1048
uniqueNames12
maxNameDensity1.81
worstName"Quinn"
maxWindowNameDensity2.5
worstWindowName"Quinn"
discoveredNames
London1
Detective1
Harlow1
Quinn19
Raven1
Nest1
Tomás9
Herrera1
Camden2
Tube1
Veil1
Market1
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Tomás"
4"Herrera"
5"Market"
places
0"London"
1"Camden"
globalScore0.594
windowScore0.833
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences61
glossingSentenceCount1
matches
0"appeared ahead and Tomás paused to retrieve the bone token from his possession"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1051
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences62
matches(empty)
74.81% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs11
mean95.55
std39.35
cv0.412
sampleLengths
0106
186
23
391
4149
5127
6147
781
858
996
10107
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences61
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs166
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences62
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1048
adjectiveStacks0
stackExamples(empty)
adverbCount23
adverbRatio0.02194656488549618
lyAdverbCount13
lyAdverbRatio0.012404580152671756
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences62
echoCount0
echoWords(empty)
96.09% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences62
mean16.95
std6.61
cv0.39
sampleLengths
042
122
218
324
422
538
617
79
83
913
1013
1117
1220
1317
1411
1516
1620
1715
189
1918
2017
2113
2216
2312
2413
2511
2618
2712
2824
2911
3011
3112
3215
3313
3418
3524
3613
3715
3815
397
4017
4123
4215
4313
4420
4516
4616
4716
4822
4914
32.26% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats11
diversityRatio0.1935483870967742
totalSentences62
uniqueOpeners12
54.64% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount1
totalSentences61
matches
0"Further on the path crossed"
ratio0.016
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount7
totalSentences61
matches
0"Her age of forty one"
1"Her profile matched the target"
2"She shouted her first order"
3"She regulated her breathing to"
4"He inserted the token and"
5"She held the door open"
6"She prepared mentally for what"
ratio0.115
0.00% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount57
totalSentences61
matches
0"The rain drenched London night"
1"The bar's walls held old"
2"Her age of forty one"
3"The rain fell in continuous"
4"Her profile matched the target"
5"The suspect had olive skin"
6"Quinn knew his background from"
7"She shouted her first order"
8"The command mixed with the"
9"Quinn adjusted to his path"
10"The alley contained bins full"
11"Quinn passed these without incident"
12"The chase exited the alley"
13"Quinn crossed with care to"
14"The run continued through residential"
15"The residential area featured narrow"
16"Tomás knocked one pot over"
17"Quinn avoided the spill by"
18"The action added variety to"
19"Tomás used these areas to"
ratio0.934
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences61
matches(empty)
ratio0
92.73% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences57
technicalSentenceCount4
matches
0"The rain fell in continuous sheets that obscured vision beyond certain distances but Quinn ignored the limitation by focusing on the figure directly ahead."
1"The residential area featured narrow sidewalks in some spots where residents had placed potted plants that narrowed the path further."
2"The trees swayed slightly in the wind that accompanied the rainstorm creating additional movement in the branches that cast moving shadows on the path."
3"The market sold enchanted goods and banned substances to a clientele that included supernaturals."
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
85.7276%