Run: 2026-03-12-01KKHZ1W2Z8CS65M3TVCGJ9H9A

Run Details

Duration:
23.9s
Cost:
$0.029053
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
Detective Harlow Quinn burst from the doorway of the Raven's Nest and into the deluge that turned every pavement slab into a mirror of smeared neon. The green sign buzzed overhead as she scanned the street. A figure in a dark hood sprinted north, shoulders hunched against the weather. She gave chase without hesitation, boots slapping through puddles that soaked her socks instantly. Her closely cropped salt-and-pepper hair shed rivulets down her neck. The worn leather watch on her left wrist caught the glow from passing taxis and glinted once before she rounded the corner. The suspect glanced back, face half hidden, but she caught the flash of olive skin and short curly dark brown hair. Tomás Herrera. Of course it was him. Metropolitan Police. Stop right there. He veered into a narrow alley lined with overflowing bins. Quinn followed, her sharp jaw set, posture rigid with military precision even as her coat flapped open. Rain hammered the brick walls on either side and funneled between them like a miniature river. She leaped over a split bag of rubbish, the stench rising sharp and sour through the downpour. Herrera scrambled over a chain-link fence midway down the passage. His left forearm scraped the top rail, the old scar there probably pulling tight. Quinn planted one hand and vaulted after him, landing with bent knees that sent a splash across her trousers. She kept running. The streets widened as they left Soho behind. Camden lay ahead, its market stalls long closed for the night but the buildings still crowded close. Quinn's breath came steady, controlled. She thought of DS Morris for the briefest moment, the way he used to match her stride during foot pursuits three years earlier. The memory fueled her legs rather than slowing them. Slow down, Herrera. You know I can keep this up all night. He didn't answer. Instead he cut across a main road, dodging a double-decker bus whose brakes screeched on the wet tarmac. Quinn waited half a second for a gap in the traffic then plunged through, horn blasts following her. The rain intensified, turning her vision into streaks of orange streetlight and shadow. Alleys gave way to pedestrian paths that descended gradually. Herrera's pace never flagged. Quinn closed the distance by a few metres when he stumbled on a loose kerbstone. She saw the Saint Christopher medallion around his neck swing wild as he recovered. That trinket won't save you from me. He pushed on, leading her toward the old Underground entrance sealed years ago. Boards covered the stairs but one hung loose at the bottom. Herrera wrenched it aside and disappeared down the steps. Quinn reached the same spot moments later. She crouched, peering into the black throat of the tunnel. Water poured over the edge in a miniature waterfall. Her brown eyes adjusted slowly. Distant voices drifted up, the clink of glass or metal, the low hum of barter. The Veil Market. She had heard the name in hushed interviews and half-burned reports. An abandoned Tube station beneath Camden that shifted location with every full moon. Banned substances changed hands there. Information too. And worse. She straightened. No backup within earshot. No warrant that would cover whatever waited below. Her hand brushed the radio on her belt then fell away. A bone token was the price of entry. She carried none. Herrera must have flashed one to whatever guarded the inner door. Quinn took one step down. The temperature dropped. The rain still fell behind her, a constant roar that masked smaller sounds. She took another step. Her mind ticked through the risks. The clique used places like this. Herrera treated their injuries off the books. If she followed, she might finally learn what happened to Morris. Or she might vanish the same way. She placed her palm against the damp wall. The stone felt alive somehow, pulsing with distant energy. Her sharp jaw tightened further. Every instinct trained over eighteen years screamed to call it in, to wait for daylight and proper procedure. Every instinct honed since Morris disappeared urged her downward. Quinn descended three more steps. The tunnel swallowed the last of the streetlight. Ahead, a faint glow leaked around a makeshift curtain. Footsteps echoed from beyond it, Herrera's among them, growing fainter. She reached for the curtain edge. Her fingers closed on coarse fabric. The decision settled in her chest like a live wire. She pulled the curtain aside.
created_at"2026-03-12T21:25:44.164Z" 3/12/2026, 9:25:44 PM
model"x-ai/grok-4.20-beta-20260309"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency18905
moderation_latency(null)
generation_time23749
tokens_prompt1140
tokens_completion1141
native_tokens_prompt1075
native_tokens_completion4599
native_tokens_completion_images0
native_tokens_reasoning3707
native_tokens_cached384
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0290528
router(null)
provider_responses
0
endpoint_id"33f49f24-a0de-4dcf-872d-ca514e83fbae"
id"a999b476-a43a-3cd2-5652-cc601a2e2708"
is_byokfalse
latency276
model_permaslug"x-ai/grok-4.20-beta-20260309"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773350744-0pKctM3wX0RL5stCt31c"
upstream_id"a999b476-a43a-3cd2-5652-cc601a2e2708"
total_cost0.0290528
cache_discount0.0006912
upstream_inference_cost0
provider_name"xAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
93.25% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount741
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)
79.76% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount741
totalAiIsms3
found
0
word"scanned"
count1
1
word"footsteps"
count1
2
word"echoed"
count1
highlights
0"scanned"
1"footsteps"
2"echoed"
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
narrationSentences78
matches(empty)
87.91% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount1
narrationSentences78
filterMatches
0"watch"
1"know"
hedgeMatches
0"happened to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences78
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen26
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords741
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions1
unquotedAttributions0
matches(empty)
89.27% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions33
wordCount741
uniqueNames15
maxNameDensity1.21
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Harlow1
Quinn9
Raven1
Nest1
Herrera8
Police1
Soho1
Morris3
Saint1
Christopher1
Underground1
Veil1
Market1
Tube1
Camden2
persons
0"Harlow"
1"Quinn"
2"Raven"
3"Herrera"
4"Morris"
5"Saint"
6"Christopher"
7"Market"
places
0"Soho"
globalScore0.893
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences55
glossingSentenceCount0
matches(empty)
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount741
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences78
matches(empty)
85.04% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs17
mean43.59
std19.51
cv0.448
sampleLengths
063
160
25
360
446
562
612
752
842
97
1059
1156
1247
1362
1449
1538
1621
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount0
totalSentences78
matches(empty)
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs131
matches(empty)
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences78
ratio0
matches(empty)
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount746
adjectiveStacks0
stackExamples(empty)
adverbCount25
adverbRatio0.03351206434316354
lyAdverbCount7
lyAdverbRatio0.00938337801608579
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences78
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences78
mean9.5
std5.52
cv0.581
sampleLengths
026
110
213
314
410
522
621
72
85
92
103
1110
1217
1316
1417
1510
1614
1719
183
198
2017
215
2223
239
243
259
263
2718
2818
2913
309
314
3215
3314
347
3513
3611
379
387
3910
409
415
4215
433
4411
4513
465
472
482
492
65.38% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats4
diversityRatio0.4230769230769231
totalSentences78
uniqueOpeners33
91.32% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences73
matches
0"Of course it was him."
1"Instead he cut across a"
ratio0.027
93.97% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount23
totalSentences73
matches
0"She gave chase without hesitation,"
1"Her closely cropped salt-and-pepper hair"
2"He veered into a narrow"
3"She leaped over a split"
4"His left forearm scraped the"
5"She kept running."
6"She thought of DS Morris"
7"You know I can keep"
8"He didn't answer."
9"She saw the Saint Christopher"
10"He pushed on, leading her"
11"She crouched, peering into the"
12"Her brown eyes adjusted slowly."
13"She had heard the name"
14"Her hand brushed the radio"
15"She carried none."
16"She took another step."
17"Her mind ticked through the"
18"She placed her palm against"
19"Her sharp jaw tightened further."
ratio0.315
42.19% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount61
totalSentences73
matches
0"Detective Harlow Quinn burst from"
1"The green sign buzzed overhead"
2"A figure in a dark"
3"She gave chase without hesitation,"
4"Her closely cropped salt-and-pepper hair"
5"The worn leather watch on"
6"The suspect glanced back, face"
7"He veered into a narrow"
8"Quinn followed, her sharp jaw"
9"She leaped over a split"
10"Herrera scrambled over a chain-link"
11"His left forearm scraped the"
12"Quinn planted one hand and"
13"She kept running."
14"The streets widened as they"
15"Camden lay ahead, its market"
16"Quinn's breath came steady, controlled."
17"She thought of DS Morris"
18"The memory fueled her legs"
19"You know I can keep"
ratio0.836
68.49% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences73
matches
0"If she followed, she might"
ratio0.014
100.00% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences34
technicalSentenceCount2
matches
0"She gave chase without hesitation, boots slapping through puddles that soaked her socks instantly."
1"An abandoned Tube station beneath Camden that shifted location with every full moon."
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
93.2200%