Run: 2026-07-08-01KX1KXCCST90MTM70XQP5TGC6

Run Details

Duration:
1m 4s
Cost:
$0.013688
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 sheeted across the Camden pavement in silver sheets that turned every streetlamp into a blurry halo. Detective Harlow Quinn cut through the downpour with the same economy of motion that had carried her through eighteen years of service. Her short salt-and-pepper crop plastered itself flat against her skull. Water ran down the sharp line of her jaw and into the collar of her coat. Ahead, the olive-skinned figure with the curly dark hair vaulted a low brick wall and vanished into a side alley that stank of wet cardboard and spilled lager. She vaulted after him. Boots hit rain-slick cobbles hard enough to jar her teeth. Tomás Herrera’s scarred forearm flashed where the sleeve of his jacket had ridden up. The Saint Christopher medallion bounced once against his chest before he snatched it still and kept running. Quinn closed the gap by half a dozen strides. Her leather watchband slapped wetly against her wrist with every pump of her arms. “Stop, Herrera! Metropolitan Police!” The shout bounced off the brick walls and came back thinner, swallowed by the storm. Tomás did not slow. He shouldered past a stack of empty kegs outside a shuttered pub, sent them clanging into her path. Quinn hurdled the mess without breaking stride. Her breath steamed in short, controlled bursts. Somewhere behind her a night bus hissed past on the main road; further down the alley a scavenger’s radio crackled static and then cut off. Tomás ducked left into a pedestrian cut-through lined with overflowing bins. Water cascaded from a broken gutter above, turning the way into a shallow river. Quinn’s heel skidded on floating litter. She recovered, drove forward, eyes locked on the white flash of his trainers each time lightning stuttered across the sky. He risked a glance back. Warm brown eyes met hers for half a second. No panic there—only calculation. Then he was gone around the next bend. She rounded it in his wake. The alley opened onto a narrow mews where scaffolding clung to a half-gutted terrace. Tomás scrambled up the first level of planks, boots slipping on wet timber. Quinn leapt, caught the edge of the platform with both hands, hauled herself after him. Metal rods rattled under their combined weight. A loose clamp spun free and clanged three storeys down into the dark. “You drop any further and the only medicine you’ll need is a body bag, Herrera.” He kept climbing. “Medicine is what I do.” His Spanish accent thickened under the strain. Quinn lunged, fingertips grazed the heel of his shoe. Tomás kicked free, climbed higher, then swung sideways onto a fire escape bolted crookedly to the next building. Iron groaned. She followed. The structure shimmied. Below them the mews filled with the rising roar of rain striking corrugated sheets. Tomás crossed a short gap between rooftops by jumping. Quinn jumped after him. Boots landed hard. Knees flexed. She rolled, came up already running across the tarred flat roof that smelled of diesel and old tar. A ventilation stack offered the only cover. Tomás put it between them long enough to lever open a rusted hatch. He dropped through. Quinn reached the hatch a second later, peered into the black rectangle, then went after him without pause. The drop landed her in a service corridor that reeked of damp concrete and rodent droppings. Dim emergency strips flickered every ten metres. Tomás was already twenty metres ahead, medallion swinging free again. She closed. He slammed through a heavy fire door into a stairwell that spiralled down. Footfalls echoed in a chaotic double rhythm. Two flights, three. On the fourth landing he shoved through another door and burst into a subterranean pedestrian tunnel. Posters peeled from the walls in soggy strips. Water dripped from pipework overhead and formed black pools that reflected the fluorescent strips in broken shards. Quinn’s coat flapped like torn canvas as she ran. Her watch caught the light each time her arm swung forward. Tomás put on a burst of speed, clipped a slumbering rough sleeper whose cart spilled half a dozen crushed cans into the detective’s path. She kicked them aside. The sleeper swore. Neither of them looked back. The tunnel bent sharply left and the air changed. Down here the rain was only a distant drumming, replaced by the low thrum of generators and the smell of ozone and spiced smoke. Tomás slowed just enough to snatch something from an inner pocket—a pale disc the size of a pound coin, etched with sharp grooves. He slapped it against a stretch of tiled wall that looked no different from the rest. The tiles sank inward with a grinding whisper, revealing a narrow stair of worn stone that dropped further still. Quinn skidded to a halt at the threshold. The opening exhaled cool air that carried faint voices, the clink of glass, and something that smelled like burnt copper. Tomás halfway down the stone steps looked up, rainwater still dripping from his curls onto the scar on his forearm. “This is not for you, Detective.” He held the bone token between two fingers so it caught the weak light filtering up from below. “Step through and you leave the Free World. Different laws. Different costs.” Quinn’s lungs burned. Water ran from her coat hem onto the concrete. She flexed her fingers once, twice. The worn leather of her watchband creaked. Beyond Tomás the stair opened into a broader cavern lit by hanging lanterns of green and amber glass. Stalls crowded the old platforms of an abandoned Tube station. Shadows moved between them—too tall, too fluid, some of them. A woman with ink-black eyes and a necklace of bird skulls turned her head. A man whose skin crawled with living tattoos stilled his hand on a row of stoppered vials. The green neon of some distant sign pulsed once, just like the one that hung outside Silas’s place up in Soho, only this light seemed to breathe. Tomás took another step down. “You want answers about Morris? They are down there.” He let the name hang. Quinn’s jaw tightened until the muscle jumped against the bone. Three years. Exploded subway carriage. No body recovered. Supernatural origins she had never spoken aloud. “Or stay up here and keep chasing shadows you understand.” He retreated another step, the token still raised like a key. Quinn planted one boot on the first stone tread. Rainwater from the city above continued to sheet through the cracks in the tunnel ceiling, painting dark streaks down the tiles. The bone disc he held seemed to grow brighter, or perhaps the shadows around it simply deepened. Voices rose from the lantern light below, quick and sharp, speaking languages that shifted at the edge of recognition. She drew a long breath that tasted of wet iron and old electricity. Tomás waited two steps lower, medallion resting now against his collarbone, eyes never leaving hers. Quinn’s hand rose toward the butt of the extendable baton clipped inside her coat. Outside, the storm hammered Camden without mercy. Down here the air waited.
created_at"2026-07-08T19:40:10.022Z" 7/8/2026, 7:40:10 PM
model"x-ai/grok-4.5-20260708"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency7998
moderation_latency(null)
generation_time52311
tokens_prompt1140
tokens_completion2009
native_tokens_prompt1186
native_tokens_completion2174
native_tokens_completion_images(null)
native_tokens_reasoning695
native_tokens_cached1152
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"
usage0.013688
router(null)
provider_responses
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endpoint_id"78a73286-52c4-4d1d-9d13-c1870c25b143"
is_byokfalse
latency108
model_permaslug"x-ai/grok-4.5-20260708"
provider_name"xAI"
status(null)
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endpoint_id"0e927811-b1a8-4604-8b86-db5ce6eaa87c"
id"8fd03997-8513-9457-b08a-728bffd8bdd6"
is_byokfalse
latency565
model_permaslug"x-ai/grok-4.5-20260708"
provider_name"xAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783539610-xKB2by5Nc1oMPw7RxhcF"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783539610-Lof7SyP3Ypk9ZlynfcFm"
upstream_id"8fd03997-8513-9457-b08a-728bffd8bdd6"
total_cost0.013688
cache_discount0.001728
upstream_inference_cost0
provider_name"xAI"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Adverbs in dialogue tags
Target: ≤10% dialogue tags with adverbs
totalTags0
95.76% AI-ism adverb frequency
Target: <2% AI-ism adverbs (58 tracked)
wordCount1180
totalAiIsmAdverbs1
found
0
adverb"sharply"
count1
highlights
0"sharply"
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)
66.10% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount1180
totalAiIsms8
found
0
word"weight"
count1
1
word"structure"
count1
2
word"flickered"
count1
3
word"echoed"
count1
4
word"chaotic"
count1
5
word"etched"
count1
6
word"whisper"
count1
7
word"pulsed"
count1
highlights
0"weight"
1"structure"
2"flickered"
3"echoed"
4"chaotic"
5"etched"
6"whisper"
7"pulsed"
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
narrationSentences100
matches(empty)
100.00% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount1
hedgeCount2
narrationSentences100
filterMatches
0"watch"
hedgeMatches
0"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences107
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
repeatedSegmentCount0
maxSentenceWordsSeen29
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords1177
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions3
unquotedAttributions0
matches(empty)
87.28% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions42
wordCount1116
uniqueNames12
maxNameDensity1.25
worstName"Quinn"
maxWindowNameDensity2
worstWindowName"Quinn"
discoveredNames
Camden2
Harlow1
Quinn14
Herrera1
Saint1
Christopher1
Spanish1
Tomás14
Tube1
Silas1
Soho1
Water4
persons
0"Harlow"
1"Quinn"
2"Herrera"
3"Saint"
4"Christopher"
5"Tomás"
6"Water"
places
0"Camden"
1"Silas"
2"Soho"
globalScore0.873
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences76
glossingSentenceCount1
matches
0"smelled like burnt copper"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount1177
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount0
totalSentences107
matches(empty)
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs28
mean42.04
std34.71
cv0.826
sampleLengths
093
168
24
376
477
568
615
78
891
974
1066
1156
1291
1348
146
1518
1612
17121
185
199
2030
2110
2211
2366
2413
2515
2614
2712
100.00% Passive voice overuse
Target: ≤2% passive sentences
passiveCount1
totalSentences100
matches
0"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount0
totalVerbs185
matches(empty)
36.05% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount3
semicolonCount1
flaggedSentences4
totalSentences107
ratio0.037
matches
0"Somewhere behind her a night bus hissed past on the main road; further down the alley a scavenger’s radio crackled static and then cut off."
1"No panic there—only calculation."
2"Tomás slowed just enough to snatch something from an inner pocket—a pale disc the size of a pound coin, etched with sharp grooves."
3"Shadows moved between them—too tall, too fluid, some of them."
100.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount1126
adjectiveStacks0
stackExamples(empty)
adverbCount41
adverbRatio0.03641207815275311
lyAdverbCount9
lyAdverbRatio0.007992895204262877
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences107
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences107
mean11
std6.38
cv0.58
sampleLengths
017
122
210
316
428
54
610
714
817
99
1014
114
1215
134
1418
157
167
1725
1811
1914
206
2120
225
239
244
258
266
2714
2813
2915
307
3113
3215
333
345
357
369
3718
382
392
403
4114
429
434
443
452
4618
477
4813
493
66.04% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats1
diversityRatio0.40186915887850466
totalSentences107
uniqueOpeners43
70.18% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount2
totalSentences95
matches
0"Somewhere behind her a night"
1"Then he was gone around"
ratio0.021
100.00% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount21
totalSentences95
matches
0"Her short salt-and-pepper crop plastered"
1"She vaulted after him."
2"Her leather watchband slapped wetly"
3"He shouldered past a stack"
4"Her breath steamed in short,"
5"She recovered, drove forward, eyes"
6"He risked a glance back."
7"She rounded it in his"
8"He kept climbing."
9"His Spanish accent thickened under"
10"She rolled, came up already"
11"He dropped through."
12"He slammed through a heavy"
13"Her watch caught the light"
14"She kicked them aside."
15"He slapped it against a"
16"He held the bone token"
17"She flexed her fingers once,"
18"He let the name hang."
19"He retreated another step, the"
ratio0.221
44.21% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount79
totalSentences95
matches
0"Rain sheeted across the Camden"
1"Detective Harlow Quinn cut through"
2"Her short salt-and-pepper crop plastered"
3"Water ran down the sharp"
4"She vaulted after him."
5"Boots hit rain-slick cobbles hard"
6"Tomás Herrera’s scarred forearm flashed"
7"The Saint Christopher medallion bounced"
8"Quinn closed the gap by"
9"Her leather watchband slapped wetly"
10"The shout bounced off the"
11"Tomás did not slow."
12"He shouldered past a stack"
13"Quinn hurdled the mess without"
14"Her breath steamed in short,"
15"Tomás ducked left into a"
16"Water cascaded from a broken"
17"Quinn’s heel skidded on floating"
18"She recovered, drove forward, eyes"
19"He risked a glance back."
ratio0.832
0.00% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount0
totalSentences95
matches(empty)
ratio0
60.44% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences52
technicalSentenceCount6
matches
0"Detective Harlow Quinn cut through the downpour with the same economy of motion that had carried her through eighteen years of service."
1"The drop landed her in a service corridor that reeked of damp concrete and rodent droppings."
2"Water dripped from pipework overhead and formed black pools that reflected the fluorescent strips in broken shards."
3"The tiles sank inward with a grinding whisper, revealing a narrow stair of worn stone that dropped further still."
4"Voices rose from the lantern light below, quick and sharp, speaking languages that shifted at the edge of recognition."
5"She drew a long breath that tasted of wet iron and old electricity."
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
87.5353%