Run: 2026-02-19-01KHTXK2MPHHCF2T16T3ASWPPF

Run Details

Duration:
1m 9s
Cost:
$0.004802
Provider:
DeepInfra

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 slicked the cobblestones to black glass. It turned the neon signs of Soho into watercolour bruises, bleeding across the pavement. Detective Harlow Quinn’s lungs burned. Each breath was a gulp of cold, wet air. Fifty yards ahead, her quarry moved with a liquid grace, a hooded figure slipping through the thinning late-night crowd as if they weren’t even there. He wasn’t just running. He was flowing. Quinn’s military training took over. Her feet found purchase where others would have slipped. Her arms pumped, a steady, relentless rhythm. The worn leather watch on her left wrist felt cold against her skin. A habit left over from a life of timed drills and objective-based actions. This chase had no clear objective anymore, only a gut feeling that had led her out of a warm office and into this downpour three hours ago. The hooded figure ducked left, down a narrow alley that stank of bins and stale beer. Quinn followed, her hand instinctively brushing the grip of the pistol holstered under her arm. The alley opened onto a quieter street, the buildings older, more imposing. Camden. He was leading her north. Her quarry glanced back. For a split second, the streetlights caught the edge of his face, pale and sharp beneath the hood. No fear. Only a cold, assessing look. Then he vaulted over a low railing and dropped onto the road below. Quinn didn't hesitate. She swung her legs over, her boots hitting the tarmac with a thud that jarred her teeth. The road was a service access, running alongside the tracks of an abandoned Tube line. The air grew colder, thick with the smell of damp earth and rust. The city's hum faded, replaced by the drip-drip-drip of water seeping through old brickwork. The figure was already at a sealed entrance. A roundel, its red paint peeled and cracked, proclaimed the station's name, but Quinn couldn't make it out in the gloom. It was just another forgotten mouth in the underbelly of London. The hooded man didn't fumble with a lock. He pressed his hand against a grimy tile on the wall. A section of the brickwork groaned inwards, revealing a dark passage beyond. The sound was a guttural sigh of stone and metal. Quinn froze, her boots skidding on the wet ground. This wasn't right. Doors didn't open like that. Her mind flashed back to three years ago, to a warehouse dockside and a scream cut short as her partner, DS Morris, was pulled into a darkness she still couldn't properly explain. The official report talked about structural collapse. The file she kept in her desk, the one no one else knew about, was filled with sketches of symbols she couldn't decipher and frantic notes about things that moved too fast. The hooded man paused at the threshold of the opening. He turned, and in the sliver of light from the street, he raised a hand. Not a wave. A gesture. An invitation. Or a challenge. Then he was gone. The stone door began to grind shut. Quinn broke from her stasis. She sprinted, covering the distance in a few powerful strides. She threw a hand out, but her palm slapped flat against cold, seamless stone just as it sealed with a final, echoing thud. Silence descended. She was alone in the damp tunnel, the city a distant memory. Her breath plumed in the frigid air. She ran her hands over the wall, searching for a trigger, a lever, anything. The bricks were cold and dead. There was no seam, no sign an opening had ever existed. Her fingers brushed against something on the ground. A small object, kicked aside in the man’s haste. She picked it up. It was a sliver of yellowed bone, no longer than her thumb, carved with sharp, angular sigils that seemed to shift in the dim light. It felt unnaturally smooth, almost warm, despite the cold. It hummed with a faint, almost imperceptible vibration against her skin. A token. The thought arrived unbidden, a piece of knowledge from a place she didn't want to acknowledge. The radio on her shoulder crackled. “Quinn, you copy? We lost your visual. What’s your twenty?” She could answer. She could give them her location, report a suspect vanished into a dead-end alley. She could retreat back to the world of procedure and paperwork, of answers that made sense. She could leave this bone token here and walk away. But Morris’s face, frozen in a moment of terrified confusion, swam in her mind. The questions that had haunted her sleep for three years. The feeling that she had let him walk into a trap she couldn't see. She looked at the bone in her hand. Then back at the solid wall of brick. Her thumb traced the carved lines. They felt like a map. A key. “Quinn, do you copy?” She didn't reach for the radio. Her gaze fixed on the spot where the door had been, her mind made up. The rules of her world, the world she had sworn to protect, didn't apply down here. To find the answers, she had to step into the dark.
created_at"2026-02-19T12:21:57.02Z" 2/19/2026, 12:21:57 PM
model"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency267
moderation_latency(null)
generation_time69403
tokens_prompt1140
tokens_completion2997
native_tokens_prompt991
native_tokens_completion2708
native_tokens_completion_images(null)
native_tokens_reasoning1742
native_tokens_cached960
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"stop"
usage0.004802049
router(null)
provider_responses
0
endpoint_id"c8607edc-8577-4199-b03d-1213da4743dc"
id"chatcmpl-REAnDU5spx2DjzXVcz6fioi1"
is_byokfalse
latency85
model_permaslug"z-ai/glm-4.6" 4/6/2001, 12:00:00 AM
provider_name"DeepInfra"
status200
api_type"completions"
id"gen-1771503717-e7ihXG2BuDswHbn6Uz1w"
upstream_id"chatcmpl-REAnDU5spx2DjzXVcz6fioi1"
total_cost0.004802049
cache_discount0.000336
upstream_inference_cost0
provider_name"DeepInfra"

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)
wordCount866
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)
71.13% AI-ism word frequency
Target: <2% AI-ism words (290 tracked)
wordCount866
totalAiIsms5
found
0
word"imposing"
count1
1
word"gloom"
count1
2
word"echoing"
count1
3
word"silence"
count1
4
word"traced"
count1
highlights
0"imposing"
1"gloom"
2"echoing"
3"silence"
4"traced"
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
narrationSentences83
matches(empty)
74.01% Filter word density
Target: ≤3% sentences with filter/hedge words
filterCount2
hedgeCount2
narrationSentences83
filterMatches
0"watch"
1"look"
hedgeMatches
0"began to"
1"seemed to"
100.00% Gibberish response detection
Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words)
analyzedSentences85
gibberishSentences0
adjustedGibberishSentences0
longSentenceCount0
runOnParagraphCount0
giantParagraphCount0
wordSaladCount0
repetitionLoopCount0
controlTokenCount0
maxSentenceWordsSeen32
ratio0
matches(empty)
100.00% Markdown formatting overuse
Target: ≤5% words in markdown formatting
markdownSpans0
markdownWords0
totalWords861
ratio0
matches(empty)
100.00% Missing dialogue indicators (quotation marks)
Target: ≤10% speech attributions without quotation marks
totalAttributions5
unquotedAttributions0
matches(empty)
100.00% Name drop frequency
Target: ≤1.0 per-name mentions per 100 words
totalMentions13
wordCount847
uniqueNames6
maxNameDensity0.83
worstName"Quinn"
maxWindowNameDensity1.5
worstWindowName"Quinn"
discoveredNames
Soho1
Harlow1
Quinn7
Tube1
London1
Morris2
persons
0"Harlow"
1"Quinn"
2"Morris"
places
0"Soho"
1"London"
globalScore1
windowScore1
100.00% Narrator intent-glossing
Target: ≤2% narration sentences with intent-glossing patterns
analyzedSentences59
glossingSentenceCount1
matches
0"sigils that seemed to shift in the dim light"
100.00% "Not X but Y" pattern overuse
Target: ≤1 "not X but Y" per 1000 words
totalMatches0
per1kWords0
wordCount861
matches(empty)
100.00% Overuse of "that" (subordinate clause padding)
Target: ≤2% sentences with "that" clauses
thatCount1
totalSentences85
matches
0"feeling that she"
100.00% Paragraph length variance
Target: CV ≥0.5 for paragraph word counts
totalParagraphs22
mean39.14
std23.84
cv0.609
sampleLengths
060
17
274
349
442
562
659
722
888
935
1011
1152
1255
134
1463
1516
1643
1738
1816
1913
204
2148
92.58% Passive voice overuse
Target: ≤2% passive sentences
passiveCount3
totalSentences83
matches
0"was pulled"
1"was filled"
2"was gone"
100.00% Past progressive (was/were + -ing) overuse
Target: ≤2% past progressive verbs
pastProgressiveCount1
totalVerbs138
matches
0"was leading"
100.00% Em-dash & semicolon overuse
Target: ≤2% sentences with em-dashes/semicolons
emDashCount0
semicolonCount0
flaggedSentences0
totalSentences85
ratio0
matches(empty)
94.00% Purple prose (modifier overload)
Target: <4% adverbs, <2% -ly adverbs, no adj stacking
wordCount852
adjectiveStacks1
stackExamples
0"against cold, seamless stone"
adverbCount30
adverbRatio0.035211267605633804
lyAdverbCount7
lyAdverbRatio0.008215962441314555
100.00% Repeated phrase echo
Target: ≤20% sentences with echoes (window: 2)
totalSentences85
echoCount0
echoWords(empty)
100.00% Sentence length variance
Target: CV ≥0.4 for sentence word counts
totalSentences85
mean10.13
std6.64
cv0.656
sampleLengths
07
114
25
39
425
54
63
75
89
97
1013
1113
1227
1316
1415
1512
161
175
184
1918
202
215
2213
233
2417
2515
2613
2714
288
2921
3011
318
3211
3312
3410
359
363
375
3832
397
4032
4110
4215
433
442
452
463
474
487
495
33.33% Sentence opener variety
Target: ≥60% unique sentence openers
consecutiveRepeats15
diversityRatio0.3058823529411765
totalSentences85
uniqueOpeners26
100.00% Adverb-first sentence starts
Target: ≥3% sentences starting with an adverb
adverbCount4
totalSentences76
matches
0"Only a cold, assessing look."
1"Then he vaulted over a"
2"Then he was gone."
3"Then back at the solid"
ratio0.053
56.84% Pronoun-first sentence starts
Target: ≤30% sentences starting with a pronoun
pronounCount31
totalSentences76
matches
0"It turned the neon signs"
1"He wasn’t just running."
2"He was flowing."
3"Her feet found purchase where"
4"Her arms pumped, a steady,"
5"He was leading her north."
6"Her quarry glanced back."
7"She swung her legs over,"
8"It was just another forgotten"
9"He pressed his hand against"
10"Her mind flashed back to"
11"He turned, and in the"
12"She sprinted, covering the distance"
13"She threw a hand out,"
14"She was alone in the"
15"Her breath plumed in the"
16"She ran her hands over"
17"Her fingers brushed against something"
18"She picked it up."
19"It was a sliver of"
ratio0.408
32.37% Subject-first sentence starts
Target: ≤72% sentences starting with a subject
subjectCount65
totalSentences76
matches
0"Rain slicked the cobblestones to"
1"It turned the neon signs"
2"Detective Harlow Quinn’s lungs burned."
3"Each breath was a gulp"
4"He wasn’t just running."
5"He was flowing."
6"Quinn’s military training took over."
7"Her feet found purchase where"
8"Her arms pumped, a steady,"
9"The worn leather watch on"
10"A habit left over from"
11"This chase had no clear"
12"The hooded figure ducked left,"
13"Quinn followed, her hand instinctively"
14"The alley opened onto a"
15"He was leading her north."
16"Her quarry glanced back."
17"Quinn didn't hesitate."
18"She swung her legs over,"
19"The road was a service"
ratio0.855
65.79% Subordinate conjunction sentence starts
Target: ≥2% sentences starting with a subordinating conjunction
subConjCount1
totalSentences76
matches
0"To find the answers, she"
ratio0.013
71.43% Technical jargon density
Target: ≤6% sentences with technical-jargon patterns
analyzedSentences40
technicalSentenceCount4
matches
0"Fifty yards ahead, her quarry moved with a liquid grace, a hooded figure slipping through the thinning late-night crowd as if they weren’t even there."
1"She swung her legs over, her boots hitting the tarmac with a thud that jarred her teeth."
2"It was a sliver of yellowed bone, no longer than her thumb, carved with sharp, angular sigils that seemed to shift in the dim light."
3"She could retreat back to the world of procedure and paperwork, of answers that made sense."
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
89.7162%